{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "77f8836e",
   "metadata": {},
   "source": [
    "# 10X genomics data\n",
    "\n",
    "This tutorials shows how to annotate pathway data from a 10x Genomics Single-Cell dataset. In this tutorial, the data being used is the same in the scanpy [Preprocessing and clustering 3k PBMCs](https://scanpy-tutorials.readthedocs.io/en/latest/pbmc3k.html) tutorial."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "31526832",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "mkdir: cannot create directory ‘data’: File exists\n",
      "--2021-08-03 19:25:10--  http://cf.10xgenomics.com/samples/cell-exp/1.1.0/pbmc3k/pbmc3k_filtered_gene_bc_matrices.tar.gz\n",
      "Resolving cf.10xgenomics.com (cf.10xgenomics.com)... 2606:4700::6812:ad, 2606:4700::6812:1ad, 104.18.0.173, ...\n",
      "Connecting to cf.10xgenomics.com (cf.10xgenomics.com)|2606:4700::6812:ad|:80... connected.\n",
      "HTTP request sent, awaiting response... 301 Moved Permanently\n",
      "Location: https://cf.10xgenomics.com/samples/cell-exp/1.1.0/pbmc3k/pbmc3k_filtered_gene_bc_matrices.tar.gz [following]\n",
      "--2021-08-03 19:25:10--  https://cf.10xgenomics.com/samples/cell-exp/1.1.0/pbmc3k/pbmc3k_filtered_gene_bc_matrices.tar.gz\n",
      "Connecting to cf.10xgenomics.com (cf.10xgenomics.com)|2606:4700::6812:ad|:443... connected.\n",
      "HTTP request sent, awaiting response... 200 OK\n",
      "Length: 7621991 (7,3M) [application/x-tar]\n",
      "Saving to: ‘data/pbmc3k_filtered_gene_bc_matrices.tar.gz’\n",
      "\n",
      "data/pbmc3k_filtere 100%[===================>]   7,27M  3,45MB/s    in 2,1s    \n",
      "\n",
      "2021-08-03 19:25:14 (3,45 MB/s) - ‘data/pbmc3k_filtered_gene_bc_matrices.tar.gz’ saved [7621991/7621991]\n",
      "\n"
     ]
    }
   ],
   "source": [
    "!mkdir data\n",
    "!wget http://cf.10xgenomics.com/samples/cell-exp/1.1.0/pbmc3k/pbmc3k_filtered_gene_bc_matrices.tar.gz -O data/pbmc3k_filtered_gene_bc_matrices.tar.gz\n",
    "!cd data; tar -xzf pbmc3k_filtered_gene_bc_matrices.tar.gz"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "3e6e52f1",
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import pandas as pd\n",
    "import scanpy as sc"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "970a1b9a",
   "metadata": {},
   "source": [
    "## Following scanpy tutorial"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "1795f6c4",
   "metadata": {},
   "outputs": [],
   "source": [
    "adata = sc.read_10x_mtx(\n",
    "    'data/filtered_gene_bc_matrices/hg19/',  \n",
    "    var_names='gene_symbols',                \n",
    "    cache=True)                              "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "6872acb2",
   "metadata": {},
   "outputs": [],
   "source": [
    "adata.var_names_make_unique()  "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "c01ad4b5",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/joao/miniconda3/envs/descartes-rpa/lib/python3.9/site-packages/scanpy/preprocessing/_normalization.py:138: UserWarning: Revieved a view of an AnnData. Making a copy.\n",
      "  view_to_actual(adata)\n"
     ]
    }
   ],
   "source": [
    "sc.pp.filter_cells(adata, min_genes=200)\n",
    "sc.pp.filter_genes(adata, min_cells=3)\n",
    "adata.var['mt'] = adata.var_names.str.startswith('MT-')  \n",
    "sc.pp.calculate_qc_metrics(adata, qc_vars=['mt'], percent_top=None, log1p=False, inplace=True)\n",
    "adata = adata[adata.obs.n_genes_by_counts < 2500, :]\n",
    "adata = adata[adata.obs.pct_counts_mt < 5, :]\n",
    "sc.pp.normalize_total(adata, target_sum=1e4)\n",
    "sc.pp.log1p(adata)\n",
    "sc.pp.highly_variable_genes(adata, min_mean=0.0125, max_mean=3, min_disp=0.5)\n",
    "adata.raw = adata\n",
    "adata = adata[:, adata.var.highly_variable]\n",
    "sc.pp.regress_out(adata, ['total_counts', 'pct_counts_mt'])\n",
    "sc.pp.scale(adata, max_value=10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "6e424457",
   "metadata": {},
   "outputs": [],
   "source": [
    "sc.tl.pca(adata, svd_solver='arpack')\n",
    "sc.pp.neighbors(adata, n_neighbors=10, n_pcs=40)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "ebe95867",
   "metadata": {},
   "outputs": [],
   "source": [
    "sc.tl.umap(adata)\n",
    "sc.tl.leiden(adata)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "e40ce90c",
   "metadata": {},
   "outputs": [],
   "source": [
    "new_cluster_names = [\n",
    "    'CD4 T', 'CD14 Monocytes',\n",
    "    'B', 'CD8 T',\n",
    "    'NK', 'FCGR3A Monocytes',\n",
    "    'Dendritic', 'Megakaryocytes']\n",
    "adata.rename_categories('leiden', new_cluster_names)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "9aa29849",
   "metadata": {},
   "source": [
    "## Reactome pathway analysis\n",
    "\n",
    "Here is where the pathway annotation occurs. You can map pathway activity to each Single-Cell cluster found."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "a7511de5",
   "metadata": {},
   "outputs": [],
   "source": [
    "from descartes_rpa import get_pathways_for_group"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "e23f7851",
   "metadata": {},
   "outputs": [],
   "source": [
    "get_pathways_for_group(adata, groupby=\"leiden\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "e3700d0b",
   "metadata": {},
   "outputs": [],
   "source": [
    "from descartes_rpa.pl import marker_genes"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "75c13cb0",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "WARNING: dendrogram data not found (using key=dendrogram_leiden). Running `sc.tl.dendrogram` with default parameters. For fine tuning it is recommended to run `sc.tl.dendrogram` independently.\n",
      "WARNING: saving figure to file dotplot_marker_genes.pdf\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 804.96x273.6 with 6 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "marker_genes(adata, n_genes=3)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "64fa226b",
   "metadata": {},
   "source": [
    "### Now, we can use pathways plotting to check pathways shared between the clusters"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "007ec761",
   "metadata": {},
   "outputs": [],
   "source": [
    "from descartes_rpa.pl import shared_pathways"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "1af1e954",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 2533.33x1333.33 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "shared_pathways(adata, clusters=[\"B\", \"NK\", \"CD4 T\", \"Megakaryocytes\"])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "ccc5f503",
   "metadata": {},
   "outputs": [],
   "source": [
    "from descartes_rpa import get_shared"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "5f2e3d7c",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>stId</th>\n",
       "      <th>name</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>R-HSA-1280218</td>\n",
       "      <td>Adaptive Immune System</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>R-HSA-168256</td>\n",
       "      <td>Immune System</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>R-HSA-1280215</td>\n",
       "      <td>Cytokine Signaling in Immune system</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>R-HSA-422475</td>\n",
       "      <td>Axon guidance</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>R-HSA-983705</td>\n",
       "      <td>Signaling by the B Cell Receptor (BCR)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>R-HSA-9675108</td>\n",
       "      <td>Nervous system development</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>R-HSA-71291</td>\n",
       "      <td>Metabolism of amino acids and derivatives</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>R-HSA-8953854</td>\n",
       "      <td>Metabolism of RNA</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>R-HSA-2262752</td>\n",
       "      <td>Cellular responses to stress</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>R-HSA-8953897</td>\n",
       "      <td>Cellular responses to stimuli</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>R-HSA-1266738</td>\n",
       "      <td>Developmental Biology</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>R-HSA-6798695</td>\n",
       "      <td>Neutrophil degranulation</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>R-HSA-392499</td>\n",
       "      <td>Metabolism of proteins</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>R-HSA-168249</td>\n",
       "      <td>Innate Immune System</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>R-HSA-1430728</td>\n",
       "      <td>Metabolism</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "             stId                                       name\n",
       "0   R-HSA-1280218                     Adaptive Immune System\n",
       "1    R-HSA-168256                              Immune System\n",
       "2   R-HSA-1280215        Cytokine Signaling in Immune system\n",
       "3    R-HSA-422475                              Axon guidance\n",
       "4    R-HSA-983705     Signaling by the B Cell Receptor (BCR)\n",
       "5   R-HSA-9675108                 Nervous system development\n",
       "6     R-HSA-71291  Metabolism of amino acids and derivatives\n",
       "7   R-HSA-8953854                          Metabolism of RNA\n",
       "8   R-HSA-2262752               Cellular responses to stress\n",
       "9   R-HSA-8953897              Cellular responses to stimuli\n",
       "10  R-HSA-1266738                      Developmental Biology\n",
       "11  R-HSA-6798695                   Neutrophil degranulation\n",
       "12   R-HSA-392499                     Metabolism of proteins\n",
       "13   R-HSA-168249                       Innate Immune System\n",
       "14  R-HSA-1430728                                 Metabolism"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "get_shared(adata, clusters=[\"B\", \"NK\", \"CD4 T\", \"Megakaryocytes\"])"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d90641d1",
   "metadata": {},
   "source": [
    "You can also plot shared pathways between all clusters. However, this doesn't look good on Jupyter Notebook. This plot creates a PNG file with 300 dpi where you can visualize it better."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "26f273cd",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 11200x1866.67 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "shared_pathways(adata, file_name=\"all_clusters.png\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "19be4fab",
   "metadata": {},
   "source": [
    "Another functionality is to look which pathways were annotated in each clusters. Below you can see an example on the \"Megakaryocytes\" cluster"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "44c4bb3f",
   "metadata": {},
   "outputs": [],
   "source": [
    "from descartes_rpa.pl import pathways"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "3e8cbcca",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>stId</th>\n",
       "      <th>dbId</th>\n",
       "      <th>name</th>\n",
       "      <th>species</th>\n",
       "      <th>llp</th>\n",
       "      <th>entities</th>\n",
       "      <th>reactions</th>\n",
       "      <th>inDisease</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>R-HSA-76002</td>\n",
       "      <td>76002</td>\n",
       "      <td>Platelet activation, signaling and aggregation</td>\n",
       "      <td>{'dbId': 48887, 'taxId': '9606', 'name': 'Homo...</td>\n",
       "      <td>False</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 291, 'found': 8...</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 116, 'found': 2...</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>R-HSA-114608</td>\n",
       "      <td>114608</td>\n",
       "      <td>Platelet degranulation</td>\n",
       "      <td>{'dbId': 48887, 'taxId': '9606', 'name': 'Homo...</td>\n",
       "      <td>True</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 139, 'found': 6...</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 11, 'found': 3,...</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>R-HSA-76005</td>\n",
       "      <td>76005</td>\n",
       "      <td>Response to elevated platelet cytosolic Ca2+</td>\n",
       "      <td>{'dbId': 48887, 'taxId': '9606', 'name': 'Homo...</td>\n",
       "      <td>True</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 146, 'found': 6...</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 14, 'found': 3,...</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>R-HSA-109582</td>\n",
       "      <td>109582</td>\n",
       "      <td>Hemostasis</td>\n",
       "      <td>{'dbId': 48887, 'taxId': '9606', 'name': 'Homo...</td>\n",
       "      <td>False</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 801, 'found': 1...</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 334, 'found': 4...</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>R-HSA-445355</td>\n",
       "      <td>445355</td>\n",
       "      <td>Smooth Muscle Contraction</td>\n",
       "      <td>{'dbId': 48887, 'taxId': '9606', 'name': 'Homo...</td>\n",
       "      <td>True</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 49, 'found': 4,...</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 11, 'found': 7,...</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>R-HSA-8936459</td>\n",
       "      <td>8936459</td>\n",
       "      <td>RUNX1 regulates genes involved in megakaryocyt...</td>\n",
       "      <td>{'dbId': 48887, 'taxId': '9606', 'name': 'Homo...</td>\n",
       "      <td>True</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 78, 'found': 4,...</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 33, 'found': 22...</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>R-HSA-418594</td>\n",
       "      <td>418594</td>\n",
       "      <td>G alpha (i) signalling events</td>\n",
       "      <td>{'dbId': 48887, 'taxId': '9606', 'name': 'Homo...</td>\n",
       "      <td>True</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 425, 'found': 7...</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 74, 'found': 32...</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>R-HSA-140877</td>\n",
       "      <td>140877</td>\n",
       "      <td>Formation of Fibrin Clot (Clotting Cascade)</td>\n",
       "      <td>{'dbId': 48887, 'taxId': '9606', 'name': 'Homo...</td>\n",
       "      <td>False</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 43, 'found': 3,...</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 61, 'found': 5,...</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>R-HSA-380108</td>\n",
       "      <td>380108</td>\n",
       "      <td>Chemokine receptors bind chemokines</td>\n",
       "      <td>{'dbId': 48887, 'taxId': '9606', 'name': 'Homo...</td>\n",
       "      <td>True</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 57, 'found': 3,...</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 19, 'found': 3,...</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>R-HSA-5250924</td>\n",
       "      <td>5250924</td>\n",
       "      <td>B-WICH complex positively regulates rRNA expre...</td>\n",
       "      <td>{'dbId': 48887, 'taxId': '9606', 'name': 'Homo...</td>\n",
       "      <td>True</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 62, 'found': 3,...</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 3, 'found': 2, ...</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>R-HSA-5250913</td>\n",
       "      <td>5250913</td>\n",
       "      <td>Positive epigenetic regulation of rRNA expression</td>\n",
       "      <td>{'dbId': 48887, 'taxId': '9606', 'name': 'Homo...</td>\n",
       "      <td>False</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 80, 'found': 3,...</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 7, 'found': 4, ...</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>R-HSA-5625740</td>\n",
       "      <td>5625740</td>\n",
       "      <td>RHO GTPases activate PKNs</td>\n",
       "      <td>{'dbId': 48887, 'taxId': '9606', 'name': 'Homo...</td>\n",
       "      <td>True</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 80, 'found': 3,...</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 20, 'found': 9,...</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>R-HSA-195258</td>\n",
       "      <td>195258</td>\n",
       "      <td>RHO GTPase Effectors</td>\n",
       "      <td>{'dbId': 48887, 'taxId': '9606', 'name': 'Homo...</td>\n",
       "      <td>False</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 326, 'found': 5...</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 113, 'found': 2...</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>R-HSA-977225</td>\n",
       "      <td>977225</td>\n",
       "      <td>Amyloid fiber formation</td>\n",
       "      <td>{'dbId': 48887, 'taxId': '9606', 'name': 'Homo...</td>\n",
       "      <td>True</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 89, 'found': 3,...</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 33, 'found': 3,...</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>R-HSA-388396</td>\n",
       "      <td>388396</td>\n",
       "      <td>GPCR downstream signalling</td>\n",
       "      <td>{'dbId': 48887, 'taxId': '9606', 'name': 'Homo...</td>\n",
       "      <td>False</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 785, 'found': 7...</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 168, 'found': 6...</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>R-HSA-397014</td>\n",
       "      <td>397014</td>\n",
       "      <td>Muscle contraction</td>\n",
       "      <td>{'dbId': 48887, 'taxId': '9606', 'name': 'Homo...</td>\n",
       "      <td>False</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 213, 'found': 4...</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 42, 'found': 15...</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>R-HSA-2682334</td>\n",
       "      <td>2682334</td>\n",
       "      <td>EPH-Ephrin signaling</td>\n",
       "      <td>{'dbId': 48887, 'taxId': '9606', 'name': 'Homo...</td>\n",
       "      <td>True</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 101, 'found': 3...</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 56, 'found': 4,...</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>R-HSA-140875</td>\n",
       "      <td>140875</td>\n",
       "      <td>Common Pathway of Fibrin Clot Formation</td>\n",
       "      <td>{'dbId': 48887, 'taxId': '9606', 'name': 'Homo...</td>\n",
       "      <td>True</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 25, 'found': 2,...</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 29, 'found': 1,...</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>R-HSA-5627123</td>\n",
       "      <td>5627123</td>\n",
       "      <td>RHO GTPases activate PAKs</td>\n",
       "      <td>{'dbId': 48887, 'taxId': '9606', 'name': 'Homo...</td>\n",
       "      <td>True</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 27, 'found': 2,...</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 15, 'found': 4,...</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>R-HSA-9620244</td>\n",
       "      <td>9620244</td>\n",
       "      <td>Long-term potentiation</td>\n",
       "      <td>{'dbId': 48887, 'taxId': '9606', 'name': 'Homo...</td>\n",
       "      <td>True</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 31, 'found': 2,...</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 7, 'found': 6, ...</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>R-HSA-372790</td>\n",
       "      <td>372790</td>\n",
       "      <td>Signaling by GPCR</td>\n",
       "      <td>{'dbId': 48887, 'taxId': '9606', 'name': 'Homo...</td>\n",
       "      <td>False</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 864, 'found': 7...</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 354, 'found': 6...</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>R-HSA-162582</td>\n",
       "      <td>162582</td>\n",
       "      <td>Signal Transduction</td>\n",
       "      <td>{'dbId': 48887, 'taxId': '9606', 'name': 'Homo...</td>\n",
       "      <td>False</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 2993, 'found': ...</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 2445, 'found': ...</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>R-HSA-8939211</td>\n",
       "      <td>8939211</td>\n",
       "      <td>ESR-mediated signaling</td>\n",
       "      <td>{'dbId': 48887, 'taxId': '9606', 'name': 'Homo...</td>\n",
       "      <td>True</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 256, 'found': 4...</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 111, 'found': 1...</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>R-HSA-8878171</td>\n",
       "      <td>8878171</td>\n",
       "      <td>Transcriptional regulation by RUNX1</td>\n",
       "      <td>{'dbId': 48887, 'taxId': '9606', 'name': 'Homo...</td>\n",
       "      <td>False</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 261, 'found': 4...</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 132, 'found': 2...</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>R-HSA-451326</td>\n",
       "      <td>451326</td>\n",
       "      <td>Activation of kainate receptors upon glutamate...</td>\n",
       "      <td>{'dbId': 48887, 'taxId': '9606', 'name': 'Homo...</td>\n",
       "      <td>False</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 34, 'found': 2,...</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 6, 'found': 3, ...</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>R-HSA-73728</td>\n",
       "      <td>73728</td>\n",
       "      <td>RNA Polymerase I Promoter Opening</td>\n",
       "      <td>{'dbId': 48887, 'taxId': '9606', 'name': 'Homo...</td>\n",
       "      <td>True</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 34, 'found': 2,...</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 2, 'found': 1, ...</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>R-HSA-1474165</td>\n",
       "      <td>1474165</td>\n",
       "      <td>Reproduction</td>\n",
       "      <td>{'dbId': 48887, 'taxId': '9606', 'name': 'Homo...</td>\n",
       "      <td>False</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 123, 'found': 3...</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 24, 'found': 3,...</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>R-HSA-5334118</td>\n",
       "      <td>5334118</td>\n",
       "      <td>DNA methylation</td>\n",
       "      <td>{'dbId': 48887, 'taxId': '9606', 'name': 'Homo...</td>\n",
       "      <td>True</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 36, 'found': 2,...</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 7, 'found': 7, ...</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>R-HSA-5626467</td>\n",
       "      <td>5626467</td>\n",
       "      <td>RHO GTPases activate IQGAPs</td>\n",
       "      <td>{'dbId': 48887, 'taxId': '9606', 'name': 'Homo...</td>\n",
       "      <td>True</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 36, 'found': 2,...</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 5, 'found': 2, ...</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>R-HSA-212165</td>\n",
       "      <td>212165</td>\n",
       "      <td>Epigenetic regulation of gene expression</td>\n",
       "      <td>{'dbId': 48887, 'taxId': '9606', 'name': 'Homo...</td>\n",
       "      <td>False</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 139, 'found': 3...</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 34, 'found': 21...</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>R-HSA-194315</td>\n",
       "      <td>194315</td>\n",
       "      <td>Signaling by Rho GTPases</td>\n",
       "      <td>{'dbId': 48887, 'taxId': '9606', 'name': 'Homo...</td>\n",
       "      <td>False</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 709, 'found': 6...</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 203, 'found': 3...</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31</th>\n",
       "      <td>R-HSA-9716542</td>\n",
       "      <td>9716542</td>\n",
       "      <td>Signaling by Rho GTPases, Miro GTPases and RHO...</td>\n",
       "      <td>{'dbId': 48887, 'taxId': '9606', 'name': 'Homo...</td>\n",
       "      <td>False</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 725, 'found': 6...</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 212, 'found': 3...</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32</th>\n",
       "      <td>R-HSA-212300</td>\n",
       "      <td>212300</td>\n",
       "      <td>PRC2 methylates histones and DNA</td>\n",
       "      <td>{'dbId': 48887, 'taxId': '9606', 'name': 'Homo...</td>\n",
       "      <td>True</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 44, 'found': 2,...</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 4, 'found': 4, ...</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>33</th>\n",
       "      <td>R-HSA-9670095</td>\n",
       "      <td>9670095</td>\n",
       "      <td>Inhibition of DNA recombination at telomere</td>\n",
       "      <td>{'dbId': 48887, 'taxId': '9606', 'name': 'Homo...</td>\n",
       "      <td>True</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 48, 'found': 2,...</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 4, 'found': 3, ...</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34</th>\n",
       "      <td>R-HSA-5625886</td>\n",
       "      <td>5625886</td>\n",
       "      <td>Activated PKN1 stimulates transcription of AR ...</td>\n",
       "      <td>{'dbId': 48887, 'taxId': '9606', 'name': 'Homo...</td>\n",
       "      <td>True</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 49, 'found': 2,...</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 11, 'found': 8,...</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35</th>\n",
       "      <td>R-HSA-427359</td>\n",
       "      <td>427359</td>\n",
       "      <td>SIRT1 negatively regulates rRNA expression</td>\n",
       "      <td>{'dbId': 48887, 'taxId': '9606', 'name': 'Homo...</td>\n",
       "      <td>True</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 45, 'found': 2,...</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 5, 'found': 3, ...</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36</th>\n",
       "      <td>R-HSA-427389</td>\n",
       "      <td>427389</td>\n",
       "      <td>ERCC6 (CSB) and EHMT2 (G9a) positively regulat...</td>\n",
       "      <td>{'dbId': 48887, 'taxId': '9606', 'name': 'Homo...</td>\n",
       "      <td>True</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 48, 'found': 2,...</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 4, 'found': 2, ...</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>37</th>\n",
       "      <td>R-HSA-195721</td>\n",
       "      <td>195721</td>\n",
       "      <td>Signaling by WNT</td>\n",
       "      <td>{'dbId': 48887, 'taxId': '9606', 'name': 'Homo...</td>\n",
       "      <td>False</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 332, 'found': 4...</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 157, 'found': 1...</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38</th>\n",
       "      <td>R-HSA-1251985</td>\n",
       "      <td>1251985</td>\n",
       "      <td>Nuclear signaling by ERBB4</td>\n",
       "      <td>{'dbId': 48887, 'taxId': '9606', 'name': 'Homo...</td>\n",
       "      <td>True</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 47, 'found': 2,...</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 34, 'found': 2,...</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>39</th>\n",
       "      <td>R-HSA-2299718</td>\n",
       "      <td>2299718</td>\n",
       "      <td>Condensation of Prophase Chromosomes</td>\n",
       "      <td>{'dbId': 48887, 'taxId': '9606', 'name': 'Homo...</td>\n",
       "      <td>True</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 55, 'found': 2,...</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 10, 'found': 8,...</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>40</th>\n",
       "      <td>R-HSA-912446</td>\n",
       "      <td>912446</td>\n",
       "      <td>Meiotic recombination</td>\n",
       "      <td>{'dbId': 48887, 'taxId': '9606', 'name': 'Homo...</td>\n",
       "      <td>True</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 58, 'found': 2,...</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 9, 'found': 1, ...</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>41</th>\n",
       "      <td>R-HSA-73772</td>\n",
       "      <td>73772</td>\n",
       "      <td>RNA Polymerase I Promoter Escape</td>\n",
       "      <td>{'dbId': 48887, 'taxId': '9606', 'name': 'Homo...</td>\n",
       "      <td>True</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 64, 'found': 2,...</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 2, 'found': 1, ...</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>42</th>\n",
       "      <td>R-HSA-3299685</td>\n",
       "      <td>3299685</td>\n",
       "      <td>Detoxification of Reactive Oxygen Species</td>\n",
       "      <td>{'dbId': 48887, 'taxId': '9606', 'name': 'Homo...</td>\n",
       "      <td>True</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 65, 'found': 2,...</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 34, 'found': 3,...</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>43</th>\n",
       "      <td>R-HSA-9006931</td>\n",
       "      <td>9006931</td>\n",
       "      <td>Signaling by Nuclear Receptors</td>\n",
       "      <td>{'dbId': 48887, 'taxId': '9606', 'name': 'Homo...</td>\n",
       "      <td>False</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 384, 'found': 4...</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 192, 'found': 1...</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>44</th>\n",
       "      <td>R-HSA-201722</td>\n",
       "      <td>201722</td>\n",
       "      <td>Formation of the beta-catenin:TCF transactivat...</td>\n",
       "      <td>{'dbId': 48887, 'taxId': '9606', 'name': 'Homo...</td>\n",
       "      <td>True</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 67, 'found': 2,...</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 13, 'found': 2,...</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>45</th>\n",
       "      <td>R-HSA-375276</td>\n",
       "      <td>375276</td>\n",
       "      <td>Peptide ligand-binding receptors</td>\n",
       "      <td>{'dbId': 48887, 'taxId': '9606', 'name': 'Homo...</td>\n",
       "      <td>True</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 203, 'found': 3...</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 76, 'found': 3,...</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>46</th>\n",
       "      <td>R-HSA-9616222</td>\n",
       "      <td>9616222</td>\n",
       "      <td>Transcriptional regulation of granulopoiesis</td>\n",
       "      <td>{'dbId': 48887, 'taxId': '9606', 'name': 'Homo...</td>\n",
       "      <td>True</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 71, 'found': 2,...</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 27, 'found': 1,...</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>47</th>\n",
       "      <td>R-HSA-5250941</td>\n",
       "      <td>5250941</td>\n",
       "      <td>Negative epigenetic regulation of rRNA expression</td>\n",
       "      <td>{'dbId': 48887, 'taxId': '9606', 'name': 'Homo...</td>\n",
       "      <td>False</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 89, 'found': 2,...</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 12, 'found': 6,...</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>48</th>\n",
       "      <td>R-HSA-427413</td>\n",
       "      <td>427413</td>\n",
       "      <td>NoRC negatively regulates rRNA expression</td>\n",
       "      <td>{'dbId': 48887, 'taxId': '9606', 'name': 'Homo...</td>\n",
       "      <td>True</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 80, 'found': 2,...</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 7, 'found': 3, ...</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>49</th>\n",
       "      <td>R-HSA-4086398</td>\n",
       "      <td>4086398</td>\n",
       "      <td>Ca2+ pathway</td>\n",
       "      <td>{'dbId': 48887, 'taxId': '9606', 'name': 'Homo...</td>\n",
       "      <td>True</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 81, 'found': 2,...</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 27, 'found': 11...</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50</th>\n",
       "      <td>R-HSA-1300645</td>\n",
       "      <td>1300645</td>\n",
       "      <td>Acrosome Reaction and Sperm:Oocyte Membrane Bi...</td>\n",
       "      <td>{'dbId': 48887, 'taxId': '9606', 'name': 'Homo...</td>\n",
       "      <td>True</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 6, 'found': 1, ...</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 3, 'found': 1, ...</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>51</th>\n",
       "      <td>R-HSA-112314</td>\n",
       "      <td>112314</td>\n",
       "      <td>Neurotransmitter receptors and postsynaptic si...</td>\n",
       "      <td>{'dbId': 48887, 'taxId': '9606', 'name': 'Homo...</td>\n",
       "      <td>True</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 231, 'found': 3...</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 109, 'found': 3...</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>52</th>\n",
       "      <td>R-HSA-5578749</td>\n",
       "      <td>5578749</td>\n",
       "      <td>Transcriptional regulation by small RNAs</td>\n",
       "      <td>{'dbId': 48887, 'taxId': '9606', 'name': 'Homo...</td>\n",
       "      <td>True</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 81, 'found': 2,...</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 5, 'found': 1, ...</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>53</th>\n",
       "      <td>R-HSA-73854</td>\n",
       "      <td>73854</td>\n",
       "      <td>RNA Polymerase I Promoter Clearance</td>\n",
       "      <td>{'dbId': 48887, 'taxId': '9606', 'name': 'Homo...</td>\n",
       "      <td>False</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 87, 'found': 2,...</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 10, 'found': 2,...</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>54</th>\n",
       "      <td>R-HSA-73864</td>\n",
       "      <td>73864</td>\n",
       "      <td>RNA Polymerase I Transcription</td>\n",
       "      <td>{'dbId': 48887, 'taxId': '9606', 'name': 'Homo...</td>\n",
       "      <td>False</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 89, 'found': 2,...</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 14, 'found': 2,...</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>55</th>\n",
       "      <td>R-HSA-1445148</td>\n",
       "      <td>1445148</td>\n",
       "      <td>Translocation of SLC2A4 (GLUT4) to the plasma ...</td>\n",
       "      <td>{'dbId': 48887, 'taxId': '9606', 'name': 'Homo...</td>\n",
       "      <td>True</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 79, 'found': 2,...</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 15, 'found': 2,...</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>56</th>\n",
       "      <td>R-HSA-1912408</td>\n",
       "      <td>1912408</td>\n",
       "      <td>Pre-NOTCH Transcription and Translation</td>\n",
       "      <td>{'dbId': 48887, 'taxId': '9606', 'name': 'Homo...</td>\n",
       "      <td>True</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 89, 'found': 2,...</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 28, 'found': 3,...</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>57</th>\n",
       "      <td>R-HSA-6783783</td>\n",
       "      <td>6783783</td>\n",
       "      <td>Interleukin-10 signaling</td>\n",
       "      <td>{'dbId': 48887, 'taxId': '9606', 'name': 'Homo...</td>\n",
       "      <td>True</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 86, 'found': 2,...</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 15, 'found': 1,...</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>58</th>\n",
       "      <td>R-HSA-1236394</td>\n",
       "      <td>1236394</td>\n",
       "      <td>Signaling by ERBB4</td>\n",
       "      <td>{'dbId': 48887, 'taxId': '9606', 'name': 'Homo...</td>\n",
       "      <td>True</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 82, 'found': 2,...</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 52, 'found': 2,...</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>59</th>\n",
       "      <td>R-HSA-2559582</td>\n",
       "      <td>2559582</td>\n",
       "      <td>Senescence-Associated Secretory Phenotype (SASP)</td>\n",
       "      <td>{'dbId': 48887, 'taxId': '9606', 'name': 'Homo...</td>\n",
       "      <td>True</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 91, 'found': 2,...</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 22, 'found': 2,...</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>60</th>\n",
       "      <td>R-HSA-1500620</td>\n",
       "      <td>1500620</td>\n",
       "      <td>Meiosis</td>\n",
       "      <td>{'dbId': 48887, 'taxId': '9606', 'name': 'Homo...</td>\n",
       "      <td>False</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 92, 'found': 2,...</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 15, 'found': 2,...</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>61</th>\n",
       "      <td>R-HSA-111957</td>\n",
       "      <td>111957</td>\n",
       "      <td>Cam-PDE 1 activation</td>\n",
       "      <td>{'dbId': 48887, 'taxId': '9606', 'name': 'Homo...</td>\n",
       "      <td>True</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 8, 'found': 1, ...</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 2, 'found': 1, ...</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>62</th>\n",
       "      <td>R-HSA-196025</td>\n",
       "      <td>196025</td>\n",
       "      <td>Formation of annular gap junctions</td>\n",
       "      <td>{'dbId': 48887, 'taxId': '9606', 'name': 'Homo...</td>\n",
       "      <td>True</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 11, 'found': 1,...</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 2, 'found': 2, ...</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>63</th>\n",
       "      <td>R-HSA-190873</td>\n",
       "      <td>190873</td>\n",
       "      <td>Gap junction degradation</td>\n",
       "      <td>{'dbId': 48887, 'taxId': '9606', 'name': 'Homo...</td>\n",
       "      <td>True</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 12, 'found': 1,...</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 4, 'found': 4, ...</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>64</th>\n",
       "      <td>R-HSA-390450</td>\n",
       "      <td>390450</td>\n",
       "      <td>Folding of actin by CCT/TriC</td>\n",
       "      <td>{'dbId': 48887, 'taxId': '9606', 'name': 'Homo...</td>\n",
       "      <td>True</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 13, 'found': 1,...</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 2, 'found': 2, ...</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>65</th>\n",
       "      <td>R-HSA-451308</td>\n",
       "      <td>451308</td>\n",
       "      <td>Activation of Ca-permeable Kainate Receptor</td>\n",
       "      <td>{'dbId': 48887, 'taxId': '9606', 'name': 'Homo...</td>\n",
       "      <td>True</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 13, 'found': 1,...</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 2, 'found': 2, ...</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>66</th>\n",
       "      <td>R-HSA-9619229</td>\n",
       "      <td>9619229</td>\n",
       "      <td>Activation of RAC1 downstream of NMDARs</td>\n",
       "      <td>{'dbId': 48887, 'taxId': '9606', 'name': 'Homo...</td>\n",
       "      <td>True</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 12, 'found': 1,...</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 6, 'found': 5, ...</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>67</th>\n",
       "      <td>R-HSA-442729</td>\n",
       "      <td>442729</td>\n",
       "      <td>CREB1 phosphorylation through the activation o...</td>\n",
       "      <td>{'dbId': 48887, 'taxId': '9606', 'name': 'Homo...</td>\n",
       "      <td>True</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 11, 'found': 1,...</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 10, 'found': 8,...</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>68</th>\n",
       "      <td>R-HSA-111932</td>\n",
       "      <td>111932</td>\n",
       "      <td>CaMK IV-mediated phosphorylation of CREB</td>\n",
       "      <td>{'dbId': 48887, 'taxId': '9606', 'name': 'Homo...</td>\n",
       "      <td>True</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 13, 'found': 1,...</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 13, 'found': 10...</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>69</th>\n",
       "      <td>R-HSA-5617472</td>\n",
       "      <td>5617472</td>\n",
       "      <td>Activation of anterior HOX genes in hindbrain ...</td>\n",
       "      <td>{'dbId': 48887, 'taxId': '9606', 'name': 'Homo...</td>\n",
       "      <td>True</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 116, 'found': 2...</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 43, 'found': 31...</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>70</th>\n",
       "      <td>R-HSA-5619507</td>\n",
       "      <td>5619507</td>\n",
       "      <td>Activation of HOX genes during differentiation</td>\n",
       "      <td>{'dbId': 48887, 'taxId': '9606', 'name': 'Homo...</td>\n",
       "      <td>False</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 116, 'found': 2...</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 43, 'found': 31...</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>71</th>\n",
       "      <td>R-HSA-430116</td>\n",
       "      <td>430116</td>\n",
       "      <td>GP1b-IX-V activation signalling</td>\n",
       "      <td>{'dbId': 48887, 'taxId': '9606', 'name': 'Homo...</td>\n",
       "      <td>True</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 12, 'found': 1,...</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 7, 'found': 5, ...</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>72</th>\n",
       "      <td>R-HSA-2025928</td>\n",
       "      <td>2025928</td>\n",
       "      <td>Calcineurin activates NFAT</td>\n",
       "      <td>{'dbId': 48887, 'taxId': '9606', 'name': 'Homo...</td>\n",
       "      <td>True</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 12, 'found': 1,...</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 3, 'found': 2, ...</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>73</th>\n",
       "      <td>R-HSA-438064</td>\n",
       "      <td>438064</td>\n",
       "      <td>Post NMDA receptor activation events</td>\n",
       "      <td>{'dbId': 48887, 'taxId': '9606', 'name': 'Homo...</td>\n",
       "      <td>False</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 96, 'found': 2,...</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 39, 'found': 24...</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>74</th>\n",
       "      <td>R-HSA-451306</td>\n",
       "      <td>451306</td>\n",
       "      <td>Ionotropic activity of kainate receptors</td>\n",
       "      <td>{'dbId': 48887, 'taxId': '9606', 'name': 'Homo...</td>\n",
       "      <td>False</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 14, 'found': 1,...</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 4, 'found': 2, ...</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75</th>\n",
       "      <td>R-HSA-3000497</td>\n",
       "      <td>3000497</td>\n",
       "      <td>Scavenging by Class H Receptors</td>\n",
       "      <td>{'dbId': 48887, 'taxId': '9606', 'name': 'Homo...</td>\n",
       "      <td>True</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 15, 'found': 1,...</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 4, 'found': 2, ...</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>76</th>\n",
       "      <td>R-HSA-442755</td>\n",
       "      <td>442755</td>\n",
       "      <td>Activation of NMDA receptors and postsynaptic ...</td>\n",
       "      <td>{'dbId': 48887, 'taxId': '9606', 'name': 'Homo...</td>\n",
       "      <td>False</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 113, 'found': 2...</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 71, 'found': 29...</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>77</th>\n",
       "      <td>R-HSA-111885</td>\n",
       "      <td>111885</td>\n",
       "      <td>Opioid Signalling</td>\n",
       "      <td>{'dbId': 48887, 'taxId': '9606', 'name': 'Homo...</td>\n",
       "      <td>True</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 112, 'found': 2...</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 59, 'found': 21...</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>78</th>\n",
       "      <td>R-HSA-428359</td>\n",
       "      <td>428359</td>\n",
       "      <td>Insulin-like Growth Factor-2 mRNA Binding Prot...</td>\n",
       "      <td>{'dbId': 48887, 'taxId': '9606', 'name': 'Homo...</td>\n",
       "      <td>True</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 13, 'found': 1,...</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 3, 'found': 1, ...</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>79</th>\n",
       "      <td>R-HSA-418359</td>\n",
       "      <td>418359</td>\n",
       "      <td>Reduction of cytosolic Ca++ levels</td>\n",
       "      <td>{'dbId': 48887, 'taxId': '9606', 'name': 'Homo...</td>\n",
       "      <td>True</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 15, 'found': 1,...</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 3, 'found': 1, ...</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>80</th>\n",
       "      <td>R-HSA-390466</td>\n",
       "      <td>390466</td>\n",
       "      <td>Chaperonin-mediated protein folding</td>\n",
       "      <td>{'dbId': 48887, 'taxId': '9606', 'name': 'Homo...</td>\n",
       "      <td>False</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 96, 'found': 2,...</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 19, 'found': 6,...</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>81</th>\n",
       "      <td>R-HSA-425561</td>\n",
       "      <td>425561</td>\n",
       "      <td>Sodium/Calcium exchangers</td>\n",
       "      <td>{'dbId': 48887, 'taxId': '9606', 'name': 'Homo...</td>\n",
       "      <td>True</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 15, 'found': 1,...</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 4, 'found': 1, ...</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>82</th>\n",
       "      <td>R-HSA-68875</td>\n",
       "      <td>68875</td>\n",
       "      <td>Mitotic Prophase</td>\n",
       "      <td>{'dbId': 48887, 'taxId': '9606', 'name': 'Homo...</td>\n",
       "      <td>True</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 135, 'found': 2...</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 34, 'found': 8,...</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>83</th>\n",
       "      <td>R-HSA-391251</td>\n",
       "      <td>391251</td>\n",
       "      <td>Protein folding</td>\n",
       "      <td>{'dbId': 48887, 'taxId': '9606', 'name': 'Homo...</td>\n",
       "      <td>False</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 102, 'found': 2...</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 28, 'found': 6,...</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>84</th>\n",
       "      <td>R-HSA-8939236</td>\n",
       "      <td>8939236</td>\n",
       "      <td>RUNX1 regulates transcription of genes involve...</td>\n",
       "      <td>{'dbId': 48887, 'taxId': '9606', 'name': 'Homo...</td>\n",
       "      <td>True</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 106, 'found': 2...</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 15, 'found': 3,...</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>85</th>\n",
       "      <td>R-HSA-5689603</td>\n",
       "      <td>5689603</td>\n",
       "      <td>UCH proteinases</td>\n",
       "      <td>{'dbId': 48887, 'taxId': '9606', 'name': 'Homo...</td>\n",
       "      <td>True</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 98, 'found': 2,...</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 11, 'found': 2,...</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>86</th>\n",
       "      <td>R-HSA-75892</td>\n",
       "      <td>75892</td>\n",
       "      <td>Platelet Adhesion to exposed collagen</td>\n",
       "      <td>{'dbId': 48887, 'taxId': '9606', 'name': 'Homo...</td>\n",
       "      <td>True</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 16, 'found': 1,...</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 6, 'found': 1, ...</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>87</th>\n",
       "      <td>R-HSA-157579</td>\n",
       "      <td>157579</td>\n",
       "      <td>Telomere Maintenance</td>\n",
       "      <td>{'dbId': 48887, 'taxId': '9606', 'name': 'Homo...</td>\n",
       "      <td>False</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 111, 'found': 2...</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 34, 'found': 5,...</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>88</th>\n",
       "      <td>R-HSA-3214847</td>\n",
       "      <td>3214847</td>\n",
       "      <td>HATs acetylate histones</td>\n",
       "      <td>{'dbId': 48887, 'taxId': '9606', 'name': 'Homo...</td>\n",
       "      <td>True</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 110, 'found': 2...</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 15, 'found': 2,...</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>89</th>\n",
       "      <td>R-HSA-418346</td>\n",
       "      <td>418346</td>\n",
       "      <td>Platelet homeostasis</td>\n",
       "      <td>{'dbId': 48887, 'taxId': '9606', 'name': 'Homo...</td>\n",
       "      <td>True</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 117, 'found': 2...</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 30, 'found': 4,...</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>90</th>\n",
       "      <td>R-HSA-2559580</td>\n",
       "      <td>2559580</td>\n",
       "      <td>Oxidative Stress Induced Senescence</td>\n",
       "      <td>{'dbId': 48887, 'taxId': '9606', 'name': 'Homo...</td>\n",
       "      <td>True</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 114, 'found': 2...</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 40, 'found': 5,...</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>91</th>\n",
       "      <td>R-HSA-4420097</td>\n",
       "      <td>4420097</td>\n",
       "      <td>VEGFA-VEGFR2 Pathway</td>\n",
       "      <td>{'dbId': 48887, 'taxId': '9606', 'name': 'Homo...</td>\n",
       "      <td>True</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 126, 'found': 2...</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 79, 'found': 9,...</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>92</th>\n",
       "      <td>R-HSA-9009391</td>\n",
       "      <td>9009391</td>\n",
       "      <td>Extra-nuclear estrogen signaling</td>\n",
       "      <td>{'dbId': 48887, 'taxId': '9606', 'name': 'Homo...</td>\n",
       "      <td>True</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 110, 'found': 2...</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 38, 'found': 4,...</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>93</th>\n",
       "      <td>R-HSA-194138</td>\n",
       "      <td>194138</td>\n",
       "      <td>Signaling by VEGF</td>\n",
       "      <td>{'dbId': 48887, 'taxId': '9606', 'name': 'Homo...</td>\n",
       "      <td>True</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 137, 'found': 2...</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 86, 'found': 9,...</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>94</th>\n",
       "      <td>R-HSA-1912422</td>\n",
       "      <td>1912422</td>\n",
       "      <td>Pre-NOTCH Expression and Processing</td>\n",
       "      <td>{'dbId': 48887, 'taxId': '9606', 'name': 'Homo...</td>\n",
       "      <td>False</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 113, 'found': 2...</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 38, 'found': 3,...</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>95</th>\n",
       "      <td>R-HSA-211000</td>\n",
       "      <td>211000</td>\n",
       "      <td>Gene Silencing by RNA</td>\n",
       "      <td>{'dbId': 48887, 'taxId': '9606', 'name': 'Homo...</td>\n",
       "      <td>False</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 120, 'found': 2...</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 40, 'found': 1,...</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>96</th>\n",
       "      <td>R-HSA-73886</td>\n",
       "      <td>73886</td>\n",
       "      <td>Chromosome Maintenance</td>\n",
       "      <td>{'dbId': 48887, 'taxId': '9606', 'name': 'Homo...</td>\n",
       "      <td>False</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 138, 'found': 2...</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 38, 'found': 7,...</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>97</th>\n",
       "      <td>R-HSA-112315</td>\n",
       "      <td>112315</td>\n",
       "      <td>Transmission across Chemical Synapses</td>\n",
       "      <td>{'dbId': 48887, 'taxId': '9606', 'name': 'Homo...</td>\n",
       "      <td>False</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 341, 'found': 3...</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 163, 'found': 3...</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>98</th>\n",
       "      <td>R-HSA-442720</td>\n",
       "      <td>442720</td>\n",
       "      <td>CREB1 phosphorylation through the activation o...</td>\n",
       "      <td>{'dbId': 48887, 'taxId': '9606', 'name': 'Homo...</td>\n",
       "      <td>True</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 17, 'found': 1,...</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 6, 'found': 2, ...</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>99</th>\n",
       "      <td>R-HSA-8964315</td>\n",
       "      <td>8964315</td>\n",
       "      <td>G beta:gamma signalling through BTK</td>\n",
       "      <td>{'dbId': 48887, 'taxId': '9606', 'name': 'Homo...</td>\n",
       "      <td>True</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 19, 'found': 1,...</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 3, 'found': 3, ...</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>100</th>\n",
       "      <td>R-HSA-418217</td>\n",
       "      <td>418217</td>\n",
       "      <td>G beta:gamma signalling through PLC beta</td>\n",
       "      <td>{'dbId': 48887, 'taxId': '9606', 'name': 'Homo...</td>\n",
       "      <td>True</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 23, 'found': 1,...</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 2, 'found': 2, ...</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>101</th>\n",
       "      <td>R-HSA-9617324</td>\n",
       "      <td>9617324</td>\n",
       "      <td>Negative regulation of NMDA receptor-mediated ...</td>\n",
       "      <td>{'dbId': 48887, 'taxId': '9606', 'name': 'Homo...</td>\n",
       "      <td>True</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 27, 'found': 1,...</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 4, 'found': 4, ...</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>102</th>\n",
       "      <td>R-HSA-442982</td>\n",
       "      <td>442982</td>\n",
       "      <td>Ras activation upon Ca2+ influx through NMDA r...</td>\n",
       "      <td>{'dbId': 48887, 'taxId': '9606', 'name': 'Homo...</td>\n",
       "      <td>True</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 27, 'found': 1,...</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 2, 'found': 2, ...</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>103</th>\n",
       "      <td>R-HSA-389957</td>\n",
       "      <td>389957</td>\n",
       "      <td>Prefoldin mediated transfer of substrate  to C...</td>\n",
       "      <td>{'dbId': 48887, 'taxId': '9606', 'name': 'Homo...</td>\n",
       "      <td>True</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 29, 'found': 1,...</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 2, 'found': 2, ...</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>104</th>\n",
       "      <td>R-HSA-1296059</td>\n",
       "      <td>1296059</td>\n",
       "      <td>G protein gated Potassium channels</td>\n",
       "      <td>{'dbId': 48887, 'taxId': '9606', 'name': 'Homo...</td>\n",
       "      <td>False</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 31, 'found': 1,...</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 3, 'found': 3, ...</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>105</th>\n",
       "      <td>R-HSA-997272</td>\n",
       "      <td>997272</td>\n",
       "      <td>Inhibition  of voltage gated Ca2+ channels via...</td>\n",
       "      <td>{'dbId': 48887, 'taxId': '9606', 'name': 'Homo...</td>\n",
       "      <td>True</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 31, 'found': 1,...</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 3, 'found': 3, ...</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>106</th>\n",
       "      <td>R-HSA-1296041</td>\n",
       "      <td>1296041</td>\n",
       "      <td>Activation of G protein gated Potassium channels</td>\n",
       "      <td>{'dbId': 48887, 'taxId': '9606', 'name': 'Homo...</td>\n",
       "      <td>True</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 31, 'found': 1,...</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 3, 'found': 3, ...</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>107</th>\n",
       "      <td>R-HSA-171306</td>\n",
       "      <td>171306</td>\n",
       "      <td>Packaging Of Telomere Ends</td>\n",
       "      <td>{'dbId': 48887, 'taxId': '9606', 'name': 'Homo...</td>\n",
       "      <td>True</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 34, 'found': 1,...</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 2, 'found': 2, ...</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>108</th>\n",
       "      <td>R-HSA-8964616</td>\n",
       "      <td>8964616</td>\n",
       "      <td>G beta:gamma signalling through CDC42</td>\n",
       "      <td>{'dbId': 48887, 'taxId': '9606', 'name': 'Homo...</td>\n",
       "      <td>True</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 21, 'found': 1,...</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 6, 'found': 5, ...</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>109</th>\n",
       "      <td>R-HSA-202040</td>\n",
       "      <td>202040</td>\n",
       "      <td>G-protein activation</td>\n",
       "      <td>{'dbId': 48887, 'taxId': '9606', 'name': 'Homo...</td>\n",
       "      <td>True</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 26, 'found': 1,...</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 6, 'found': 5, ...</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>110</th>\n",
       "      <td>R-HSA-392851</td>\n",
       "      <td>392851</td>\n",
       "      <td>Prostacyclin signalling through prostacyclin r...</td>\n",
       "      <td>{'dbId': 48887, 'taxId': '9606', 'name': 'Homo...</td>\n",
       "      <td>True</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 23, 'found': 1,...</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 4, 'found': 3, ...</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>111</th>\n",
       "      <td>R-HSA-392170</td>\n",
       "      <td>392170</td>\n",
       "      <td>ADP signalling through P2Y purinoceptor 12</td>\n",
       "      <td>{'dbId': 48887, 'taxId': '9606', 'name': 'Homo...</td>\n",
       "      <td>True</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 25, 'found': 1,...</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 4, 'found': 3, ...</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>112</th>\n",
       "      <td>R-HSA-428930</td>\n",
       "      <td>428930</td>\n",
       "      <td>Thromboxane signalling through TP receptor</td>\n",
       "      <td>{'dbId': 48887, 'taxId': '9606', 'name': 'Homo...</td>\n",
       "      <td>True</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 29, 'found': 1,...</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 8, 'found': 6, ...</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>113</th>\n",
       "      <td>R-HSA-5607763</td>\n",
       "      <td>5607763</td>\n",
       "      <td>CLEC7A (Dectin-1) induces NFAT activation</td>\n",
       "      <td>{'dbId': 48887, 'taxId': '9606', 'name': 'Homo...</td>\n",
       "      <td>True</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 18, 'found': 1,...</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 6, 'found': 4, ...</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>114</th>\n",
       "      <td>R-HSA-400042</td>\n",
       "      <td>400042</td>\n",
       "      <td>Adrenaline,noradrenaline inhibits insulin secr...</td>\n",
       "      <td>{'dbId': 48887, 'taxId': '9606', 'name': 'Homo...</td>\n",
       "      <td>True</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 32, 'found': 1,...</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 6, 'found': 4, ...</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>115</th>\n",
       "      <td>R-HSA-500657</td>\n",
       "      <td>500657</td>\n",
       "      <td>Presynaptic function of Kainate receptors</td>\n",
       "      <td>{'dbId': 48887, 'taxId': '9606', 'name': 'Homo...</td>\n",
       "      <td>True</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 23, 'found': 1,...</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 2, 'found': 1, ...</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>116</th>\n",
       "      <td>R-HSA-392451</td>\n",
       "      <td>392451</td>\n",
       "      <td>G beta:gamma signalling through PI3Kgamma</td>\n",
       "      <td>{'dbId': 48887, 'taxId': '9606', 'name': 'Homo...</td>\n",
       "      <td>True</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 29, 'found': 1,...</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 4, 'found': 2, ...</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>117</th>\n",
       "      <td>R-HSA-445095</td>\n",
       "      <td>445095</td>\n",
       "      <td>Interaction between L1 and Ankyrins</td>\n",
       "      <td>{'dbId': 48887, 'taxId': '9606', 'name': 'Homo...</td>\n",
       "      <td>True</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 33, 'found': 1,...</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 4, 'found': 2, ...</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>118</th>\n",
       "      <td>R-HSA-5576892</td>\n",
       "      <td>5576892</td>\n",
       "      <td>Phase 0 - rapid depolarisation</td>\n",
       "      <td>{'dbId': 48887, 'taxId': '9606', 'name': 'Homo...</td>\n",
       "      <td>True</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 34, 'found': 1,...</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 2, 'found': 1, ...</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>119</th>\n",
       "      <td>R-HSA-418592</td>\n",
       "      <td>418592</td>\n",
       "      <td>ADP signalling through P2Y purinoceptor 1</td>\n",
       "      <td>{'dbId': 48887, 'taxId': '9606', 'name': 'Homo...</td>\n",
       "      <td>True</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 29, 'found': 1,...</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 7, 'found': 3, ...</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>120</th>\n",
       "      <td>R-HSA-456926</td>\n",
       "      <td>456926</td>\n",
       "      <td>Thrombin signalling through proteinase activat...</td>\n",
       "      <td>{'dbId': 48887, 'taxId': '9606', 'name': 'Homo...</td>\n",
       "      <td>True</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 35, 'found': 1,...</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 15, 'found': 6,...</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>121</th>\n",
       "      <td>R-HSA-2142712</td>\n",
       "      <td>2142712</td>\n",
       "      <td>Synthesis of 12-eicosatetraenoic acid derivatives</td>\n",
       "      <td>{'dbId': 48887, 'taxId': '9606', 'name': 'Homo...</td>\n",
       "      <td>True</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 19, 'found': 1,...</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 6, 'found': 2, ...</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>122</th>\n",
       "      <td>R-HSA-5689901</td>\n",
       "      <td>5689901</td>\n",
       "      <td>Metalloprotease DUBs</td>\n",
       "      <td>{'dbId': 48887, 'taxId': '9606', 'name': 'Homo...</td>\n",
       "      <td>True</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 32, 'found': 1,...</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 6, 'found': 2, ...</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>123</th>\n",
       "      <td>R-HSA-9619483</td>\n",
       "      <td>9619483</td>\n",
       "      <td>Activation of AMPK downstream of NMDARs</td>\n",
       "      <td>{'dbId': 48887, 'taxId': '9606', 'name': 'Homo...</td>\n",
       "      <td>True</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 34, 'found': 1,...</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 3, 'found': 1, ...</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>124</th>\n",
       "      <td>R-HSA-5627117</td>\n",
       "      <td>5627117</td>\n",
       "      <td>RHO GTPases Activate ROCKs</td>\n",
       "      <td>{'dbId': 48887, 'taxId': '9606', 'name': 'Homo...</td>\n",
       "      <td>True</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 24, 'found': 1,...</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 7, 'found': 2, ...</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>125</th>\n",
       "      <td>R-HSA-2142770</td>\n",
       "      <td>2142770</td>\n",
       "      <td>Synthesis of 15-eicosatetraenoic acid derivatives</td>\n",
       "      <td>{'dbId': 48887, 'taxId': '9606', 'name': 'Homo...</td>\n",
       "      <td>True</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 22, 'found': 1,...</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 4, 'found': 1, ...</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>126</th>\n",
       "      <td>R-HSA-163615</td>\n",
       "      <td>163615</td>\n",
       "      <td>PKA activation</td>\n",
       "      <td>{'dbId': 48887, 'taxId': '9606', 'name': 'Homo...</td>\n",
       "      <td>True</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 23, 'found': 1,...</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 4, 'found': 1, ...</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>127</th>\n",
       "      <td>R-HSA-2142688</td>\n",
       "      <td>2142688</td>\n",
       "      <td>Synthesis of 5-eicosatetraenoic acids</td>\n",
       "      <td>{'dbId': 48887, 'taxId': '9606', 'name': 'Homo...</td>\n",
       "      <td>True</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 24, 'found': 1,...</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 4, 'found': 1, ...</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>128</th>\n",
       "      <td>R-HSA-3928663</td>\n",
       "      <td>3928663</td>\n",
       "      <td>EPHA-mediated growth cone collapse</td>\n",
       "      <td>{'dbId': 48887, 'taxId': '9606', 'name': 'Homo...</td>\n",
       "      <td>True</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 33, 'found': 1,...</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 4, 'found': 1, ...</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>129</th>\n",
       "      <td>R-HSA-3858494</td>\n",
       "      <td>3858494</td>\n",
       "      <td>Beta-catenin independent WNT signaling</td>\n",
       "      <td>{'dbId': 48887, 'taxId': '9606', 'name': 'Homo...</td>\n",
       "      <td>False</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 166, 'found': 2...</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 51, 'found': 11...</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>130</th>\n",
       "      <td>R-HSA-9018519</td>\n",
       "      <td>9018519</td>\n",
       "      <td>Estrogen-dependent gene expression</td>\n",
       "      <td>{'dbId': 48887, 'taxId': '9606', 'name': 'Homo...</td>\n",
       "      <td>True</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 154, 'found': 2...</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 66, 'found': 14...</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>131</th>\n",
       "      <td>R-HSA-70221</td>\n",
       "      <td>70221</td>\n",
       "      <td>Glycogen breakdown (glycogenolysis)</td>\n",
       "      <td>{'dbId': 48887, 'taxId': '9606', 'name': 'Homo...</td>\n",
       "      <td>True</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 26, 'found': 1,...</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 15, 'found': 3,...</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>132</th>\n",
       "      <td>R-HSA-438066</td>\n",
       "      <td>438066</td>\n",
       "      <td>Unblocking of NMDA receptors, glutamate bindin...</td>\n",
       "      <td>{'dbId': 48887, 'taxId': '9606', 'name': 'Homo...</td>\n",
       "      <td>True</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 27, 'found': 1,...</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 5, 'found': 1, ...</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>133</th>\n",
       "      <td>R-HSA-5625900</td>\n",
       "      <td>5625900</td>\n",
       "      <td>RHO GTPases activate CIT</td>\n",
       "      <td>{'dbId': 48887, 'taxId': '9606', 'name': 'Homo...</td>\n",
       "      <td>True</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 23, 'found': 1,...</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 6, 'found': 1, ...</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>134</th>\n",
       "      <td>R-HSA-140837</td>\n",
       "      <td>140837</td>\n",
       "      <td>Intrinsic Pathway of Fibrin Clot Formation</td>\n",
       "      <td>{'dbId': 48887, 'taxId': '9606', 'name': 'Homo...</td>\n",
       "      <td>True</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 26, 'found': 1,...</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 24, 'found': 4,...</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>135</th>\n",
       "      <td>R-HSA-180024</td>\n",
       "      <td>180024</td>\n",
       "      <td>DARPP-32 events</td>\n",
       "      <td>{'dbId': 48887, 'taxId': '9606', 'name': 'Homo...</td>\n",
       "      <td>True</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 35, 'found': 1,...</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 12, 'found': 2,...</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>136</th>\n",
       "      <td>R-HSA-416572</td>\n",
       "      <td>416572</td>\n",
       "      <td>Sema4D induced cell migration and growth-cone ...</td>\n",
       "      <td>{'dbId': 48887, 'taxId': '9606', 'name': 'Homo...</td>\n",
       "      <td>True</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 24, 'found': 1,...</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 7, 'found': 1, ...</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>137</th>\n",
       "      <td>R-HSA-111931</td>\n",
       "      <td>111931</td>\n",
       "      <td>PKA-mediated phosphorylation of CREB</td>\n",
       "      <td>{'dbId': 48887, 'taxId': '9606', 'name': 'Homo...</td>\n",
       "      <td>True</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 26, 'found': 1,...</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 7, 'found': 1, ...</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>138</th>\n",
       "      <td>R-HSA-418990</td>\n",
       "      <td>418990</td>\n",
       "      <td>Adherens junctions interactions</td>\n",
       "      <td>{'dbId': 48887, 'taxId': '9606', 'name': 'Homo...</td>\n",
       "      <td>True</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 35, 'found': 1,...</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 16, 'found': 2,...</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>139</th>\n",
       "      <td>R-HSA-418360</td>\n",
       "      <td>418360</td>\n",
       "      <td>Platelet calcium homeostasis</td>\n",
       "      <td>{'dbId': 48887, 'taxId': '9606', 'name': 'Homo...</td>\n",
       "      <td>False</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 35, 'found': 1,...</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 8, 'found': 1, ...</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>140</th>\n",
       "      <td>R-HSA-420092</td>\n",
       "      <td>420092</td>\n",
       "      <td>Glucagon-type ligand receptors</td>\n",
       "      <td>{'dbId': 48887, 'taxId': '9606', 'name': 'Homo...</td>\n",
       "      <td>True</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 35, 'found': 1,...</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 8, 'found': 1, ...</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>141</th>\n",
       "      <td>R-HSA-8876725</td>\n",
       "      <td>8876725</td>\n",
       "      <td>Protein methylation</td>\n",
       "      <td>{'dbId': 48887, 'taxId': '9606', 'name': 'Homo...</td>\n",
       "      <td>True</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 19, 'found': 1,...</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 9, 'found': 1, ...</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>142</th>\n",
       "      <td>R-HSA-1187000</td>\n",
       "      <td>1187000</td>\n",
       "      <td>Fertilization</td>\n",
       "      <td>{'dbId': 48887, 'taxId': '9606', 'name': 'Homo...</td>\n",
       "      <td>False</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 31, 'found': 1,...</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 9, 'found': 1, ...</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>143</th>\n",
       "      <td>R-HSA-446353</td>\n",
       "      <td>446353</td>\n",
       "      <td>Cell-extracellular matrix interactions</td>\n",
       "      <td>{'dbId': 48887, 'taxId': '9606', 'name': 'Homo...</td>\n",
       "      <td>True</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 19, 'found': 1,...</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 10, 'found': 1,...</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>144</th>\n",
       "      <td>R-HSA-3928664</td>\n",
       "      <td>3928664</td>\n",
       "      <td>Ephrin signaling</td>\n",
       "      <td>{'dbId': 48887, 'taxId': '9606', 'name': 'Homo...</td>\n",
       "      <td>True</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 23, 'found': 1,...</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 11, 'found': 1,...</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>145</th>\n",
       "      <td>R-HSA-2559583</td>\n",
       "      <td>2559583</td>\n",
       "      <td>Cellular Senescence</td>\n",
       "      <td>{'dbId': 48887, 'taxId': '9606', 'name': 'Homo...</td>\n",
       "      <td>False</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 200, 'found': 2...</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 90, 'found': 8,...</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>146</th>\n",
       "      <td>R-HSA-5218921</td>\n",
       "      <td>5218921</td>\n",
       "      <td>VEGFR2 mediated cell proliferation</td>\n",
       "      <td>{'dbId': 48887, 'taxId': '9606', 'name': 'Homo...</td>\n",
       "      <td>True</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 31, 'found': 1,...</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 12, 'found': 1,...</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>147</th>\n",
       "      <td>R-HSA-400685</td>\n",
       "      <td>400685</td>\n",
       "      <td>Sema4D in semaphorin signaling</td>\n",
       "      <td>{'dbId': 48887, 'taxId': '9606', 'name': 'Homo...</td>\n",
       "      <td>False</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 30, 'found': 1,...</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 13, 'found': 1,...</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>148</th>\n",
       "      <td>R-HSA-983231</td>\n",
       "      <td>983231</td>\n",
       "      <td>Factors involved in megakaryocyte development ...</td>\n",
       "      <td>{'dbId': 48887, 'taxId': '9606', 'name': 'Homo...</td>\n",
       "      <td>True</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 194, 'found': 2...</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 43, 'found': 3,...</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>149</th>\n",
       "      <td>R-HSA-500792</td>\n",
       "      <td>500792</td>\n",
       "      <td>GPCR ligand binding</td>\n",
       "      <td>{'dbId': 48887, 'taxId': '9606', 'name': 'Homo...</td>\n",
       "      <td>False</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 606, 'found': 4...</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 186, 'found': 4...</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>150</th>\n",
       "      <td>R-HSA-373076</td>\n",
       "      <td>373076</td>\n",
       "      <td>Class A/1 (Rhodopsin-like receptors)</td>\n",
       "      <td>{'dbId': 48887, 'taxId': '9606', 'name': 'Homo...</td>\n",
       "      <td>True</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 412, 'found': 3...</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 159, 'found': 3...</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>151</th>\n",
       "      <td>R-HSA-9006934</td>\n",
       "      <td>9006934</td>\n",
       "      <td>Signaling by Receptor Tyrosine Kinases</td>\n",
       "      <td>{'dbId': 48887, 'taxId': '9606', 'name': 'Homo...</td>\n",
       "      <td>False</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 617, 'found': 4...</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 744, 'found': 1...</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>152</th>\n",
       "      <td>R-HSA-9711123</td>\n",
       "      <td>9711123</td>\n",
       "      <td>Cellular response to chemical stress</td>\n",
       "      <td>{'dbId': 48887, 'taxId': '9606', 'name': 'Homo...</td>\n",
       "      <td>False</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 208, 'found': 2...</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 71, 'found': 3,...</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>153</th>\n",
       "      <td>R-HSA-389958</td>\n",
       "      <td>389958</td>\n",
       "      <td>Cooperation of Prefoldin and TriC/CCT  in acti...</td>\n",
       "      <td>{'dbId': 48887, 'taxId': '9606', 'name': 'Homo...</td>\n",
       "      <td>False</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 37, 'found': 1,...</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 6, 'found': 4, ...</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>154</th>\n",
       "      <td>R-HSA-203615</td>\n",
       "      <td>203615</td>\n",
       "      <td>eNOS activation</td>\n",
       "      <td>{'dbId': 48887, 'taxId': '9606', 'name': 'Homo...</td>\n",
       "      <td>True</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 37, 'found': 1,...</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 20, 'found': 9,...</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>155</th>\n",
       "      <td>R-HSA-1474151</td>\n",
       "      <td>1474151</td>\n",
       "      <td>Tetrahydrobiopterin (BH4) synthesis, recycling...</td>\n",
       "      <td>{'dbId': 48887, 'taxId': '9606', 'name': 'Homo...</td>\n",
       "      <td>True</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 37, 'found': 1,...</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 16, 'found': 2,...</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>156</th>\n",
       "      <td>R-HSA-201681</td>\n",
       "      <td>201681</td>\n",
       "      <td>TCF dependent signaling in response to WNT</td>\n",
       "      <td>{'dbId': 48887, 'taxId': '9606', 'name': 'Homo...</td>\n",
       "      <td>True</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 216, 'found': 2...</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 71, 'found': 2,...</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>157</th>\n",
       "      <td>R-HSA-1296065</td>\n",
       "      <td>1296065</td>\n",
       "      <td>Inwardly rectifying K+ channels</td>\n",
       "      <td>{'dbId': 48887, 'taxId': '9606', 'name': 'Homo...</td>\n",
       "      <td>False</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 38, 'found': 1,...</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 7, 'found': 3, ...</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>158</th>\n",
       "      <td>R-HSA-397795</td>\n",
       "      <td>397795</td>\n",
       "      <td>G-protein beta:gamma signalling</td>\n",
       "      <td>{'dbId': 48887, 'taxId': '9606', 'name': 'Homo...</td>\n",
       "      <td>False</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 39, 'found': 1,...</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 15, 'found': 12...</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>159</th>\n",
       "      <td>R-HSA-9013424</td>\n",
       "      <td>9013424</td>\n",
       "      <td>RHOV GTPase cycle</td>\n",
       "      <td>{'dbId': 48887, 'taxId': '9606', 'name': 'Homo...</td>\n",
       "      <td>True</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 39, 'found': 1,...</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 2, 'found': 1, ...</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>160</th>\n",
       "      <td>R-HSA-442742</td>\n",
       "      <td>442742</td>\n",
       "      <td>CREB1 phosphorylation through NMDA receptor-me...</td>\n",
       "      <td>{'dbId': 48887, 'taxId': '9606', 'name': 'Homo...</td>\n",
       "      <td>True</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 39, 'found': 1,...</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 7, 'found': 2, ...</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>161</th>\n",
       "      <td>R-HSA-9022692</td>\n",
       "      <td>9022692</td>\n",
       "      <td>Regulation of MECP2 expression and activity</td>\n",
       "      <td>{'dbId': 48887, 'taxId': '9606', 'name': 'Homo...</td>\n",
       "      <td>True</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 39, 'found': 1,...</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 14, 'found': 3,...</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>162</th>\n",
       "      <td>R-HSA-110330</td>\n",
       "      <td>110330</td>\n",
       "      <td>Recognition and association of DNA glycosylase...</td>\n",
       "      <td>{'dbId': 48887, 'taxId': '9606', 'name': 'Homo...</td>\n",
       "      <td>True</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 39, 'found': 1,...</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 10, 'found': 2,...</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>163</th>\n",
       "      <td>R-HSA-1855204</td>\n",
       "      <td>1855204</td>\n",
       "      <td>Synthesis of IP3 and IP4 in the cytosol</td>\n",
       "      <td>{'dbId': 48887, 'taxId': '9606', 'name': 'Homo...</td>\n",
       "      <td>True</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 39, 'found': 1,...</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 12, 'found': 1,...</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>164</th>\n",
       "      <td>R-HSA-390522</td>\n",
       "      <td>390522</td>\n",
       "      <td>Striated Muscle Contraction</td>\n",
       "      <td>{'dbId': 48887, 'taxId': '9606', 'name': 'Homo...</td>\n",
       "      <td>True</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 40, 'found': 1,...</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 4, 'found': 4, ...</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>165</th>\n",
       "      <td>R-HSA-392518</td>\n",
       "      <td>392518</td>\n",
       "      <td>Signal amplification</td>\n",
       "      <td>{'dbId': 48887, 'taxId': '9606', 'name': 'Homo...</td>\n",
       "      <td>False</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 40, 'found': 1,...</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 19, 'found': 12...</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>166</th>\n",
       "      <td>R-HSA-5696394</td>\n",
       "      <td>5696394</td>\n",
       "      <td>DNA Damage Recognition in GG-NER</td>\n",
       "      <td>{'dbId': 48887, 'taxId': '9606', 'name': 'Homo...</td>\n",
       "      <td>True</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 40, 'found': 1,...</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 5, 'found': 1, ...</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>167</th>\n",
       "      <td>R-HSA-163359</td>\n",
       "      <td>163359</td>\n",
       "      <td>Glucagon signaling in metabolic regulation</td>\n",
       "      <td>{'dbId': 48887, 'taxId': '9606', 'name': 'Homo...</td>\n",
       "      <td>True</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 40, 'found': 1,...</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 6, 'found': 1, ...</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>168</th>\n",
       "      <td>R-HSA-5663213</td>\n",
       "      <td>5663213</td>\n",
       "      <td>RHO GTPases Activate WASPs and WAVEs</td>\n",
       "      <td>{'dbId': 48887, 'taxId': '9606', 'name': 'Homo...</td>\n",
       "      <td>True</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 41, 'found': 1,...</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 10, 'found': 4,...</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>169</th>\n",
       "      <td>R-HSA-202131</td>\n",
       "      <td>202131</td>\n",
       "      <td>Metabolism of nitric oxide: NOS3 activation an...</td>\n",
       "      <td>{'dbId': 48887, 'taxId': '9606', 'name': 'Homo...</td>\n",
       "      <td>False</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 41, 'found': 1,...</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 26, 'found': 9,...</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>170</th>\n",
       "      <td>R-HSA-6814122</td>\n",
       "      <td>6814122</td>\n",
       "      <td>Cooperation of PDCL (PhLP1) and TRiC/CCT in G-...</td>\n",
       "      <td>{'dbId': 48887, 'taxId': '9606', 'name': 'Homo...</td>\n",
       "      <td>True</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 41, 'found': 1,...</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 11, 'found': 2,...</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>171</th>\n",
       "      <td>R-HSA-5673000</td>\n",
       "      <td>5673000</td>\n",
       "      <td>RAF activation</td>\n",
       "      <td>{'dbId': 48887, 'taxId': '9606', 'name': 'Homo...</td>\n",
       "      <td>True</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 41, 'found': 1,...</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 12, 'found': 1,...</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>172</th>\n",
       "      <td>R-HSA-112316</td>\n",
       "      <td>112316</td>\n",
       "      <td>Neuronal System</td>\n",
       "      <td>{'dbId': 48887, 'taxId': '9606', 'name': 'Homo...</td>\n",
       "      <td>False</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 487, 'found': 3...</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 216, 'found': 3...</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>173</th>\n",
       "      <td>R-HSA-110328</td>\n",
       "      <td>110328</td>\n",
       "      <td>Recognition and association of DNA glycosylase...</td>\n",
       "      <td>{'dbId': 48887, 'taxId': '9606', 'name': 'Homo...</td>\n",
       "      <td>True</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 42, 'found': 1,...</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 21, 'found': 1,...</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>174</th>\n",
       "      <td>R-HSA-111997</td>\n",
       "      <td>111997</td>\n",
       "      <td>CaM pathway</td>\n",
       "      <td>{'dbId': 48887, 'taxId': '9606', 'name': 'Homo...</td>\n",
       "      <td>True</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 43, 'found': 1,...</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 24, 'found': 14...</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>175</th>\n",
       "      <td>R-HSA-111933</td>\n",
       "      <td>111933</td>\n",
       "      <td>Calmodulin induced events</td>\n",
       "      <td>{'dbId': 48887, 'taxId': '9606', 'name': 'Homo...</td>\n",
       "      <td>True</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 43, 'found': 1,...</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 23, 'found': 13...</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>176</th>\n",
       "      <td>R-HSA-8982491</td>\n",
       "      <td>8982491</td>\n",
       "      <td>Glycogen metabolism</td>\n",
       "      <td>{'dbId': 48887, 'taxId': '9606', 'name': 'Homo...</td>\n",
       "      <td>False</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 43, 'found': 1,...</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 39, 'found': 3,...</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>177</th>\n",
       "      <td>R-HSA-5218920</td>\n",
       "      <td>5218920</td>\n",
       "      <td>VEGFR2 mediated vascular permeability</td>\n",
       "      <td>{'dbId': 48887, 'taxId': '9606', 'name': 'Homo...</td>\n",
       "      <td>True</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 44, 'found': 1,...</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 15, 'found': 7,...</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>178</th>\n",
       "      <td>R-HSA-110331</td>\n",
       "      <td>110331</td>\n",
       "      <td>Cleavage of the damaged purine</td>\n",
       "      <td>{'dbId': 48887, 'taxId': '9606', 'name': 'Homo...</td>\n",
       "      <td>True</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 45, 'found': 1,...</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 9, 'found': 2, ...</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>179</th>\n",
       "      <td>R-HSA-9035034</td>\n",
       "      <td>9035034</td>\n",
       "      <td>RHOF GTPase cycle</td>\n",
       "      <td>{'dbId': 48887, 'taxId': '9606', 'name': 'Homo...</td>\n",
       "      <td>True</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 46, 'found': 1,...</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 3, 'found': 1, ...</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>180</th>\n",
       "      <td>R-HSA-9648002</td>\n",
       "      <td>9648002</td>\n",
       "      <td>RAS processing</td>\n",
       "      <td>{'dbId': 48887, 'taxId': '9606', 'name': 'Homo...</td>\n",
       "      <td>True</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 46, 'found': 1,...</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 21, 'found': 5,...</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>181</th>\n",
       "      <td>R-HSA-73927</td>\n",
       "      <td>73927</td>\n",
       "      <td>Depurination</td>\n",
       "      <td>{'dbId': 48887, 'taxId': '9606', 'name': 'Homo...</td>\n",
       "      <td>False</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 46, 'found': 1,...</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 19, 'found': 4,...</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>182</th>\n",
       "      <td>R-HSA-111996</td>\n",
       "      <td>111996</td>\n",
       "      <td>Ca-dependent events</td>\n",
       "      <td>{'dbId': 48887, 'taxId': '9606', 'name': 'Homo...</td>\n",
       "      <td>False</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 48, 'found': 1,...</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 27, 'found': 14...</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>183</th>\n",
       "      <td>R-HSA-5674135</td>\n",
       "      <td>5674135</td>\n",
       "      <td>MAP2K and MAPK activation</td>\n",
       "      <td>{'dbId': 48887, 'taxId': '9606', 'name': 'Homo...</td>\n",
       "      <td>True</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 49, 'found': 1,...</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 12, 'found': 8,...</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>184</th>\n",
       "      <td>R-HSA-991365</td>\n",
       "      <td>991365</td>\n",
       "      <td>Activation of GABAB receptors</td>\n",
       "      <td>{'dbId': 48887, 'taxId': '9606', 'name': 'Homo...</td>\n",
       "      <td>False</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 49, 'found': 1,...</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 8, 'found': 3, ...</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>185</th>\n",
       "      <td>R-HSA-977444</td>\n",
       "      <td>977444</td>\n",
       "      <td>GABA B receptor activation</td>\n",
       "      <td>{'dbId': 48887, 'taxId': '9606', 'name': 'Homo...</td>\n",
       "      <td>True</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 49, 'found': 1,...</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 9, 'found': 3, ...</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>186</th>\n",
       "      <td>R-HSA-381676</td>\n",
       "      <td>381676</td>\n",
       "      <td>Glucagon-like Peptide-1 (GLP1) regulates insul...</td>\n",
       "      <td>{'dbId': 48887, 'taxId': '9606', 'name': 'Homo...</td>\n",
       "      <td>True</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 49, 'found': 1,...</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 11, 'found': 3,...</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>187</th>\n",
       "      <td>R-HSA-4839726</td>\n",
       "      <td>4839726</td>\n",
       "      <td>Chromatin organization</td>\n",
       "      <td>{'dbId': 48887, 'taxId': '9606', 'name': 'Homo...</td>\n",
       "      <td>False</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 256, 'found': 2...</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 85, 'found': 10...</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>188</th>\n",
       "      <td>R-HSA-3247509</td>\n",
       "      <td>3247509</td>\n",
       "      <td>Chromatin modifying enzymes</td>\n",
       "      <td>{'dbId': 48887, 'taxId': '9606', 'name': 'Homo...</td>\n",
       "      <td>True</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 256, 'found': 2...</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 85, 'found': 10...</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>189</th>\n",
       "      <td>R-HSA-350562</td>\n",
       "      <td>350562</td>\n",
       "      <td>Regulation of ornithine decarboxylase (ODC)</td>\n",
       "      <td>{'dbId': 48887, 'taxId': '9606', 'name': 'Homo...</td>\n",
       "      <td>True</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 51, 'found': 1,...</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 4, 'found': 3, ...</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>190</th>\n",
       "      <td>R-HSA-110329</td>\n",
       "      <td>110329</td>\n",
       "      <td>Cleavage of the damaged pyrimidine</td>\n",
       "      <td>{'dbId': 48887, 'taxId': '9606', 'name': 'Homo...</td>\n",
       "      <td>True</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 51, 'found': 1,...</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 20, 'found': 1,...</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>191</th>\n",
       "      <td>R-HSA-73928</td>\n",
       "      <td>73928</td>\n",
       "      <td>Depyrimidination</td>\n",
       "      <td>{'dbId': 48887, 'taxId': '9606', 'name': 'Homo...</td>\n",
       "      <td>False</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 51, 'found': 1,...</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 41, 'found': 2,...</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>192</th>\n",
       "      <td>R-HSA-3928662</td>\n",
       "      <td>3928662</td>\n",
       "      <td>EPHB-mediated forward signaling</td>\n",
       "      <td>{'dbId': 48887, 'taxId': '9606', 'name': 'Homo...</td>\n",
       "      <td>True</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 51, 'found': 1,...</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 26, 'found': 1,...</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>193</th>\n",
       "      <td>R-HSA-202733</td>\n",
       "      <td>202733</td>\n",
       "      <td>Cell surface interactions at the vascular wall</td>\n",
       "      <td>{'dbId': 48887, 'taxId': '9606', 'name': 'Homo...</td>\n",
       "      <td>True</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 257, 'found': 2...</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 65, 'found': 1,...</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>194</th>\n",
       "      <td>R-HSA-157118</td>\n",
       "      <td>157118</td>\n",
       "      <td>Signaling by NOTCH</td>\n",
       "      <td>{'dbId': 48887, 'taxId': '9606', 'name': 'Homo...</td>\n",
       "      <td>False</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 258, 'found': 2...</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 154, 'found': 3...</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>195</th>\n",
       "      <td>R-HSA-190828</td>\n",
       "      <td>190828</td>\n",
       "      <td>Gap junction trafficking</td>\n",
       "      <td>{'dbId': 48887, 'taxId': '9606', 'name': 'Homo...</td>\n",
       "      <td>False</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 52, 'found': 1,...</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 20, 'found': 4,...</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>196</th>\n",
       "      <td>R-HSA-432040</td>\n",
       "      <td>432040</td>\n",
       "      <td>Vasopressin regulates renal water homeostasis ...</td>\n",
       "      <td>{'dbId': 48887, 'taxId': '9606', 'name': 'Homo...</td>\n",
       "      <td>True</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 52, 'found': 1,...</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 15, 'found': 3,...</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>197</th>\n",
       "      <td>R-HSA-1489509</td>\n",
       "      <td>1489509</td>\n",
       "      <td>DAG and IP3 signaling</td>\n",
       "      <td>{'dbId': 48887, 'taxId': '9606', 'name': 'Homo...</td>\n",
       "      <td>True</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 53, 'found': 1,...</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 28, 'found': 14...</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>198</th>\n",
       "      <td>R-HSA-3214858</td>\n",
       "      <td>3214858</td>\n",
       "      <td>RMTs methylate histone arginines</td>\n",
       "      <td>{'dbId': 48887, 'taxId': '9606', 'name': 'Homo...</td>\n",
       "      <td>True</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 53, 'found': 1,...</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 22, 'found': 4,...</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>199</th>\n",
       "      <td>R-HSA-76009</td>\n",
       "      <td>76009</td>\n",
       "      <td>Platelet Aggregation (Plug Formation)</td>\n",
       "      <td>{'dbId': 48887, 'taxId': '9606', 'name': 'Homo...</td>\n",
       "      <td>True</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 53, 'found': 1,...</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 27, 'found': 1,...</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>200</th>\n",
       "      <td>R-HSA-606279</td>\n",
       "      <td>606279</td>\n",
       "      <td>Deposition of new CENPA-containing nucleosomes...</td>\n",
       "      <td>{'dbId': 48887, 'taxId': '9606', 'name': 'Homo...</td>\n",
       "      <td>True</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 54, 'found': 1,...</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 4, 'found': 2, ...</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>201</th>\n",
       "      <td>R-HSA-774815</td>\n",
       "      <td>774815</td>\n",
       "      <td>Nucleosome assembly</td>\n",
       "      <td>{'dbId': 48887, 'taxId': '9606', 'name': 'Homo...</td>\n",
       "      <td>False</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 54, 'found': 1,...</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 4, 'found': 2, ...</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>202</th>\n",
       "      <td>R-HSA-2514859</td>\n",
       "      <td>2514859</td>\n",
       "      <td>Inactivation, recovery and regulation of the p...</td>\n",
       "      <td>{'dbId': 48887, 'taxId': '9606', 'name': 'Homo...</td>\n",
       "      <td>True</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 54, 'found': 1,...</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 19, 'found': 3,...</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>203</th>\n",
       "      <td>R-HSA-437239</td>\n",
       "      <td>437239</td>\n",
       "      <td>Recycling pathway of L1</td>\n",
       "      <td>{'dbId': 48887, 'taxId': '9606', 'name': 'Homo...</td>\n",
       "      <td>True</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 55, 'found': 1,...</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 14, 'found': 3,...</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>204</th>\n",
       "      <td>R-HSA-3928665</td>\n",
       "      <td>3928665</td>\n",
       "      <td>EPH-ephrin mediated repulsion of cells</td>\n",
       "      <td>{'dbId': 48887, 'taxId': '9606', 'name': 'Homo...</td>\n",
       "      <td>True</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 55, 'found': 1,...</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 9, 'found': 1, ...</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>205</th>\n",
       "      <td>R-HSA-157858</td>\n",
       "      <td>157858</td>\n",
       "      <td>Gap junction trafficking and regulation</td>\n",
       "      <td>{'dbId': 48887, 'taxId': '9606', 'name': 'Homo...</td>\n",
       "      <td>False</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 56, 'found': 1,...</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 24, 'found': 4,...</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>206</th>\n",
       "      <td>R-HSA-2514856</td>\n",
       "      <td>2514856</td>\n",
       "      <td>The phototransduction cascade</td>\n",
       "      <td>{'dbId': 48887, 'taxId': '9606', 'name': 'Homo...</td>\n",
       "      <td>False</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 59, 'found': 1,...</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 27, 'found': 3,...</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>207</th>\n",
       "      <td>R-HSA-416476</td>\n",
       "      <td>416476</td>\n",
       "      <td>G alpha (q) signalling events</td>\n",
       "      <td>{'dbId': 48887, 'taxId': '9606', 'name': 'Homo...</td>\n",
       "      <td>True</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 283, 'found': 2...</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 35, 'found': 8,...</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>208</th>\n",
       "      <td>R-HSA-418597</td>\n",
       "      <td>418597</td>\n",
       "      <td>G alpha (z) signalling events</td>\n",
       "      <td>{'dbId': 48887, 'taxId': '9606', 'name': 'Homo...</td>\n",
       "      <td>True</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 62, 'found': 1,...</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 13, 'found': 4,...</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>209</th>\n",
       "      <td>R-HSA-1221632</td>\n",
       "      <td>1221632</td>\n",
       "      <td>Meiotic synapsis</td>\n",
       "      <td>{'dbId': 48887, 'taxId': '9606', 'name': 'Homo...</td>\n",
       "      <td>True</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 62, 'found': 1,...</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 6, 'found': 1, ...</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>210</th>\n",
       "      <td>R-HSA-73929</td>\n",
       "      <td>73929</td>\n",
       "      <td>Base-Excision Repair, AP Site Formation</td>\n",
       "      <td>{'dbId': 48887, 'taxId': '9606', 'name': 'Homo...</td>\n",
       "      <td>False</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 62, 'found': 1,...</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 62, 'found': 6,...</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>211</th>\n",
       "      <td>R-HSA-5688426</td>\n",
       "      <td>5688426</td>\n",
       "      <td>Deubiquitination</td>\n",
       "      <td>{'dbId': 48887, 'taxId': '9606', 'name': 'Homo...</td>\n",
       "      <td>False</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 289, 'found': 2...</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 77, 'found': 6,...</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>212</th>\n",
       "      <td>R-HSA-3214815</td>\n",
       "      <td>3214815</td>\n",
       "      <td>HDACs deacetylate histones</td>\n",
       "      <td>{'dbId': 48887, 'taxId': '9606', 'name': 'Homo...</td>\n",
       "      <td>True</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 63, 'found': 1,...</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 5, 'found': 4, ...</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>213</th>\n",
       "      <td>R-HSA-1266738</td>\n",
       "      <td>1266738</td>\n",
       "      <td>Developmental Biology</td>\n",
       "      <td>{'dbId': 48887, 'taxId': '9606', 'name': 'Homo...</td>\n",
       "      <td>False</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 1262, 'found': ...</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 556, 'found': 4...</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>214</th>\n",
       "      <td>R-HSA-422475</td>\n",
       "      <td>422475</td>\n",
       "      <td>Axon guidance</td>\n",
       "      <td>{'dbId': 48887, 'taxId': '9606', 'name': 'Homo...</td>\n",
       "      <td>False</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 584, 'found': 3...</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 298, 'found': 1...</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>215</th>\n",
       "      <td>R-HSA-5578775</td>\n",
       "      <td>5578775</td>\n",
       "      <td>Ion homeostasis</td>\n",
       "      <td>{'dbId': 48887, 'taxId': '9606', 'name': 'Homo...</td>\n",
       "      <td>True</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 64, 'found': 1,...</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 16, 'found': 3,...</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>216</th>\n",
       "      <td>R-HSA-9662361</td>\n",
       "      <td>9662361</td>\n",
       "      <td>Sensory processing of sound by outer hair cell...</td>\n",
       "      <td>{'dbId': 48887, 'taxId': '9606', 'name': 'Homo...</td>\n",
       "      <td>True</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 64, 'found': 1,...</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 8, 'found': 1, ...</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>217</th>\n",
       "      <td>R-HSA-8978934</td>\n",
       "      <td>8978934</td>\n",
       "      <td>Metabolism of cofactors</td>\n",
       "      <td>{'dbId': 48887, 'taxId': '9606', 'name': 'Homo...</td>\n",
       "      <td>False</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 66, 'found': 1,...</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 28, 'found': 2,...</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>218</th>\n",
       "      <td>R-HSA-112043</td>\n",
       "      <td>112043</td>\n",
       "      <td>PLC beta mediated events</td>\n",
       "      <td>{'dbId': 48887, 'taxId': '9606', 'name': 'Homo...</td>\n",
       "      <td>True</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 67, 'found': 1,...</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 32, 'found': 14...</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>219</th>\n",
       "      <td>R-HSA-977443</td>\n",
       "      <td>977443</td>\n",
       "      <td>GABA receptor activation</td>\n",
       "      <td>{'dbId': 48887, 'taxId': '9606', 'name': 'Homo...</td>\n",
       "      <td>True</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 67, 'found': 1,...</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 12, 'found': 3,...</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>220</th>\n",
       "      <td>R-HSA-421270</td>\n",
       "      <td>421270</td>\n",
       "      <td>Cell-cell junction organization</td>\n",
       "      <td>{'dbId': 48887, 'taxId': '9606', 'name': 'Homo...</td>\n",
       "      <td>False</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 67, 'found': 1,...</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 21, 'found': 2,...</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>221</th>\n",
       "      <td>R-HSA-445717</td>\n",
       "      <td>445717</td>\n",
       "      <td>Aquaporin-mediated transport</td>\n",
       "      <td>{'dbId': 48887, 'taxId': '9606', 'name': 'Homo...</td>\n",
       "      <td>False</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 68, 'found': 1,...</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 25, 'found': 3,...</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>222</th>\n",
       "      <td>R-HSA-373755</td>\n",
       "      <td>373755</td>\n",
       "      <td>Semaphorin interactions</td>\n",
       "      <td>{'dbId': 48887, 'taxId': '9606', 'name': 'Homo...</td>\n",
       "      <td>False</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 70, 'found': 1,...</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 41, 'found': 1,...</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>223</th>\n",
       "      <td>R-HSA-2262752</td>\n",
       "      <td>2262752</td>\n",
       "      <td>Cellular responses to stress</td>\n",
       "      <td>{'dbId': 48887, 'taxId': '9606', 'name': 'Homo...</td>\n",
       "      <td>False</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 948, 'found': 4...</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 381, 'found': 1...</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>224</th>\n",
       "      <td>R-HSA-936837</td>\n",
       "      <td>936837</td>\n",
       "      <td>Ion transport by P-type ATPases</td>\n",
       "      <td>{'dbId': 48887, 'taxId': '9606', 'name': 'Homo...</td>\n",
       "      <td>True</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 71, 'found': 1,...</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 16, 'found': 1,...</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>225</th>\n",
       "      <td>R-HSA-2559586</td>\n",
       "      <td>2559586</td>\n",
       "      <td>DNA Damage/Telomere Stress Induced Senescence</td>\n",
       "      <td>{'dbId': 48887, 'taxId': '9606', 'name': 'Homo...</td>\n",
       "      <td>True</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 71, 'found': 1,...</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 18, 'found': 1,...</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>226</th>\n",
       "      <td>R-HSA-112040</td>\n",
       "      <td>112040</td>\n",
       "      <td>G-protein mediated events</td>\n",
       "      <td>{'dbId': 48887, 'taxId': '9606', 'name': 'Homo...</td>\n",
       "      <td>False</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 72, 'found': 1,...</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 41, 'found': 14...</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>227</th>\n",
       "      <td>R-HSA-9675108</td>\n",
       "      <td>9675108</td>\n",
       "      <td>Nervous system development</td>\n",
       "      <td>{'dbId': 48887, 'taxId': '9606', 'name': 'Homo...</td>\n",
       "      <td>False</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 620, 'found': 3...</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 324, 'found': 1...</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>228</th>\n",
       "      <td>R-HSA-8953897</td>\n",
       "      <td>8953897</td>\n",
       "      <td>Cellular responses to stimuli</td>\n",
       "      <td>{'dbId': 48887, 'taxId': '9606', 'name': 'Homo...</td>\n",
       "      <td>False</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 966, 'found': 4...</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 412, 'found': 1...</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>229</th>\n",
       "      <td>R-HSA-5673001</td>\n",
       "      <td>5673001</td>\n",
       "      <td>RAF/MAP kinase cascade</td>\n",
       "      <td>{'dbId': 48887, 'taxId': '9606', 'name': 'Homo...</td>\n",
       "      <td>True</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 322, 'found': 2...</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 75, 'found': 15...</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>230</th>\n",
       "      <td>R-HSA-9662360</td>\n",
       "      <td>9662360</td>\n",
       "      <td>Sensory processing of sound by inner hair cell...</td>\n",
       "      <td>{'dbId': 48887, 'taxId': '9606', 'name': 'Homo...</td>\n",
       "      <td>True</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 76, 'found': 1,...</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 7, 'found': 1, ...</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>231</th>\n",
       "      <td>R-HSA-5684996</td>\n",
       "      <td>5684996</td>\n",
       "      <td>MAPK1/MAPK3 signaling</td>\n",
       "      <td>{'dbId': 48887, 'taxId': '9606', 'name': 'Homo...</td>\n",
       "      <td>False</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 329, 'found': 2...</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 82, 'found': 15...</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>232</th>\n",
       "      <td>R-HSA-3000178</td>\n",
       "      <td>3000178</td>\n",
       "      <td>ECM proteoglycans</td>\n",
       "      <td>{'dbId': 48887, 'taxId': '9606', 'name': 'Homo...</td>\n",
       "      <td>True</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 79, 'found': 1,...</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 23, 'found': 1,...</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>233</th>\n",
       "      <td>R-HSA-351202</td>\n",
       "      <td>351202</td>\n",
       "      <td>Metabolism of polyamines</td>\n",
       "      <td>{'dbId': 48887, 'taxId': '9606', 'name': 'Homo...</td>\n",
       "      <td>True</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 80, 'found': 1,...</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 17, 'found': 3,...</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>234</th>\n",
       "      <td>R-HSA-416482</td>\n",
       "      <td>416482</td>\n",
       "      <td>G alpha (12/13) signalling events</td>\n",
       "      <td>{'dbId': 48887, 'taxId': '9606', 'name': 'Homo...</td>\n",
       "      <td>True</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 85, 'found': 1,...</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 15, 'found': 4,...</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>235</th>\n",
       "      <td>R-HSA-9659379</td>\n",
       "      <td>9659379</td>\n",
       "      <td>Sensory processing of sound</td>\n",
       "      <td>{'dbId': 48887, 'taxId': '9606', 'name': 'Homo...</td>\n",
       "      <td>False</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 87, 'found': 1,...</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 13, 'found': 2,...</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>236</th>\n",
       "      <td>R-HSA-2151201</td>\n",
       "      <td>2151201</td>\n",
       "      <td>Transcriptional activation of mitochondrial bi...</td>\n",
       "      <td>{'dbId': 48887, 'taxId': '9606', 'name': 'Homo...</td>\n",
       "      <td>True</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 88, 'found': 1,...</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 32, 'found': 1,...</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>237</th>\n",
       "      <td>R-HSA-1483249</td>\n",
       "      <td>1483249</td>\n",
       "      <td>Inositol phosphate metabolism</td>\n",
       "      <td>{'dbId': 48887, 'taxId': '9606', 'name': 'Homo...</td>\n",
       "      <td>False</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 90, 'found': 1,...</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 71, 'found': 1,...</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>238</th>\n",
       "      <td>R-HSA-1168372</td>\n",
       "      <td>1168372</td>\n",
       "      <td>Downstream signaling events of B Cell Receptor...</td>\n",
       "      <td>{'dbId': 48887, 'taxId': '9606', 'name': 'Homo...</td>\n",
       "      <td>False</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 91, 'found': 1,...</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 15, 'found': 2,...</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>239</th>\n",
       "      <td>R-HSA-5696399</td>\n",
       "      <td>5696399</td>\n",
       "      <td>Global Genome Nucleotide Excision Repair (GG-NER)</td>\n",
       "      <td>{'dbId': 48887, 'taxId': '9606', 'name': 'Homo...</td>\n",
       "      <td>False</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 92, 'found': 1,...</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 20, 'found': 1,...</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>240</th>\n",
       "      <td>R-HSA-392499</td>\n",
       "      <td>392499</td>\n",
       "      <td>Metabolism of proteins</td>\n",
       "      <td>{'dbId': 48887, 'taxId': '9606', 'name': 'Homo...</td>\n",
       "      <td>False</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 2205, 'found': ...</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 798, 'found': 1...</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>241</th>\n",
       "      <td>R-HSA-446728</td>\n",
       "      <td>446728</td>\n",
       "      <td>Cell junction organization</td>\n",
       "      <td>{'dbId': 48887, 'taxId': '9606', 'name': 'Homo...</td>\n",
       "      <td>False</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 94, 'found': 1,...</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 37, 'found': 3,...</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>242</th>\n",
       "      <td>R-HSA-73894</td>\n",
       "      <td>73894</td>\n",
       "      <td>DNA Repair</td>\n",
       "      <td>{'dbId': 48887, 'taxId': '9606', 'name': 'Homo...</td>\n",
       "      <td>False</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 369, 'found': 2...</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 332, 'found': 7...</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>243</th>\n",
       "      <td>R-HSA-73884</td>\n",
       "      <td>73884</td>\n",
       "      <td>Base Excision Repair</td>\n",
       "      <td>{'dbId': 48887, 'taxId': '9606', 'name': 'Homo...</td>\n",
       "      <td>False</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 99, 'found': 1,...</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 105, 'found': 6...</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>244</th>\n",
       "      <td>R-HSA-373080</td>\n",
       "      <td>373080</td>\n",
       "      <td>Class B/2 (Secretin family receptors)</td>\n",
       "      <td>{'dbId': 48887, 'taxId': '9606', 'name': 'Homo...</td>\n",
       "      <td>True</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 99, 'found': 1,...</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 20, 'found': 1,...</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>245</th>\n",
       "      <td>R-HSA-8986944</td>\n",
       "      <td>8986944</td>\n",
       "      <td>Transcriptional Regulation by MECP2</td>\n",
       "      <td>{'dbId': 48887, 'taxId': '9606', 'name': 'Homo...</td>\n",
       "      <td>True</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 100, 'found': 1...</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 77, 'found': 3,...</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>246</th>\n",
       "      <td>R-HSA-5683057</td>\n",
       "      <td>5683057</td>\n",
       "      <td>MAPK family signaling cascades</td>\n",
       "      <td>{'dbId': 48887, 'taxId': '9606', 'name': 'Homo...</td>\n",
       "      <td>False</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 380, 'found': 2...</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 122, 'found': 1...</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>247</th>\n",
       "      <td>R-HSA-74160</td>\n",
       "      <td>74160</td>\n",
       "      <td>Gene expression (Transcription)</td>\n",
       "      <td>{'dbId': 48887, 'taxId': '9606', 'name': 'Homo...</td>\n",
       "      <td>False</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 1855, 'found': ...</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 1000, 'found': ...</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>248</th>\n",
       "      <td>R-HSA-983695</td>\n",
       "      <td>983695</td>\n",
       "      <td>Antigen activates B Cell Receptor (BCR) leadin...</td>\n",
       "      <td>{'dbId': 48887, 'taxId': '9606', 'name': 'Homo...</td>\n",
       "      <td>True</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 103, 'found': 1...</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 25, 'found': 1,...</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>249</th>\n",
       "      <td>R-HSA-422356</td>\n",
       "      <td>422356</td>\n",
       "      <td>Regulation of insulin secretion</td>\n",
       "      <td>{'dbId': 48887, 'taxId': '9606', 'name': 'Homo...</td>\n",
       "      <td>True</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 106, 'found': 1...</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 34, 'found': 7,...</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>250</th>\n",
       "      <td>R-HSA-1296071</td>\n",
       "      <td>1296071</td>\n",
       "      <td>Potassium Channels</td>\n",
       "      <td>{'dbId': 48887, 'taxId': '9606', 'name': 'Homo...</td>\n",
       "      <td>False</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 107, 'found': 1...</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 19, 'found': 3,...</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>251</th>\n",
       "      <td>R-HSA-8957275</td>\n",
       "      <td>8957275</td>\n",
       "      <td>Post-translational protein phosphorylation</td>\n",
       "      <td>{'dbId': 48887, 'taxId': '9606', 'name': 'Homo...</td>\n",
       "      <td>True</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 109, 'found': 1...</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 1, 'found': 1, ...</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>252</th>\n",
       "      <td>R-HSA-68886</td>\n",
       "      <td>68886</td>\n",
       "      <td>M Phase</td>\n",
       "      <td>{'dbId': 48887, 'taxId': '9606', 'name': 'Homo...</td>\n",
       "      <td>False</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 416, 'found': 2...</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 91, 'found': 8,...</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>253</th>\n",
       "      <td>R-HSA-2672351</td>\n",
       "      <td>2672351</td>\n",
       "      <td>Stimuli-sensing channels</td>\n",
       "      <td>{'dbId': 48887, 'taxId': '9606', 'name': 'Homo...</td>\n",
       "      <td>True</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 119, 'found': 1...</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 28, 'found': 1,...</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>254</th>\n",
       "      <td>R-HSA-5696398</td>\n",
       "      <td>5696398</td>\n",
       "      <td>Nucleotide Excision Repair</td>\n",
       "      <td>{'dbId': 48887, 'taxId': '9606', 'name': 'Homo...</td>\n",
       "      <td>False</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 119, 'found': 1...</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 37, 'found': 1,...</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>255</th>\n",
       "      <td>R-HSA-5607764</td>\n",
       "      <td>5607764</td>\n",
       "      <td>CLEC7A (Dectin-1) signaling</td>\n",
       "      <td>{'dbId': 48887, 'taxId': '9606', 'name': 'Homo...</td>\n",
       "      <td>True</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 120, 'found': 1...</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 45, 'found': 4,...</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>256</th>\n",
       "      <td>R-HSA-212436</td>\n",
       "      <td>212436</td>\n",
       "      <td>Generic Transcription Pathway</td>\n",
       "      <td>{'dbId': 48887, 'taxId': '9606', 'name': 'Homo...</td>\n",
       "      <td>True</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 1555, 'found': ...</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 824, 'found': 2...</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>257</th>\n",
       "      <td>R-HSA-381426</td>\n",
       "      <td>381426</td>\n",
       "      <td>Regulation of Insulin-like Growth Factor (IGF)...</td>\n",
       "      <td>{'dbId': 48887, 'taxId': '9606', 'name': 'Homo...</td>\n",
       "      <td>True</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 127, 'found': 1...</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 14, 'found': 1,...</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>258</th>\n",
       "      <td>R-HSA-1592230</td>\n",
       "      <td>1592230</td>\n",
       "      <td>Mitochondrial biogenesis</td>\n",
       "      <td>{'dbId': 48887, 'taxId': '9606', 'name': 'Homo...</td>\n",
       "      <td>False</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 128, 'found': 1...</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 36, 'found': 1,...</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>259</th>\n",
       "      <td>R-HSA-2871809</td>\n",
       "      <td>2871809</td>\n",
       "      <td>FCERI mediated Ca+2 mobilization</td>\n",
       "      <td>{'dbId': 48887, 'taxId': '9606', 'name': 'Homo...</td>\n",
       "      <td>True</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 129, 'found': 1...</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 11, 'found': 4,...</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>260</th>\n",
       "      <td>R-HSA-373760</td>\n",
       "      <td>373760</td>\n",
       "      <td>L1CAM interactions</td>\n",
       "      <td>{'dbId': 48887, 'taxId': '9606', 'name': 'Homo...</td>\n",
       "      <td>True</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 130, 'found': 1...</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 54, 'found': 5,...</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>261</th>\n",
       "      <td>R-HSA-1500931</td>\n",
       "      <td>1500931</td>\n",
       "      <td>Cell-Cell communication</td>\n",
       "      <td>{'dbId': 48887, 'taxId': '9606', 'name': 'Homo...</td>\n",
       "      <td>False</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 133, 'found': 1...</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 60, 'found': 3,...</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>262</th>\n",
       "      <td>R-HSA-5653656</td>\n",
       "      <td>5653656</td>\n",
       "      <td>Vesicle-mediated transport</td>\n",
       "      <td>{'dbId': 48887, 'taxId': '9606', 'name': 'Homo...</td>\n",
       "      <td>False</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 824, 'found': 3...</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 252, 'found': 1...</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>263</th>\n",
       "      <td>R-HSA-5576891</td>\n",
       "      <td>5576891</td>\n",
       "      <td>Cardiac conduction</td>\n",
       "      <td>{'dbId': 48887, 'taxId': '9606', 'name': 'Homo...</td>\n",
       "      <td>False</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 138, 'found': 1...</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 27, 'found': 4,...</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>264</th>\n",
       "      <td>R-HSA-9012999</td>\n",
       "      <td>9012999</td>\n",
       "      <td>RHO GTPase cycle</td>\n",
       "      <td>{'dbId': 48887, 'taxId': '9606', 'name': 'Homo...</td>\n",
       "      <td>False</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 460, 'found': 2...</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 91, 'found': 2,...</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>265</th>\n",
       "      <td>R-HSA-163685</td>\n",
       "      <td>163685</td>\n",
       "      <td>Integration of energy metabolism</td>\n",
       "      <td>{'dbId': 48887, 'taxId': '9606', 'name': 'Homo...</td>\n",
       "      <td>True</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 145, 'found': 1...</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 62, 'found': 8,...</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>266</th>\n",
       "      <td>R-HSA-6798695</td>\n",
       "      <td>6798695</td>\n",
       "      <td>Neutrophil degranulation</td>\n",
       "      <td>{'dbId': 48887, 'taxId': '9606', 'name': 'Homo...</td>\n",
       "      <td>True</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 480, 'found': 2...</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 10, 'found': 2,...</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>267</th>\n",
       "      <td>R-HSA-5663220</td>\n",
       "      <td>5663220</td>\n",
       "      <td>RHO GTPases Activate Formins</td>\n",
       "      <td>{'dbId': 48887, 'taxId': '9606', 'name': 'Homo...</td>\n",
       "      <td>True</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 149, 'found': 1...</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 27, 'found': 8,...</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>268</th>\n",
       "      <td>R-HSA-2029482</td>\n",
       "      <td>2029482</td>\n",
       "      <td>Regulation of actin dynamics for phagocytic cu...</td>\n",
       "      <td>{'dbId': 48887, 'taxId': '9606', 'name': 'Homo...</td>\n",
       "      <td>True</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 158, 'found': 1...</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 24, 'found': 6,...</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>269</th>\n",
       "      <td>R-HSA-73857</td>\n",
       "      <td>73857</td>\n",
       "      <td>RNA Polymerase II Transcription</td>\n",
       "      <td>{'dbId': 48887, 'taxId': '9606', 'name': 'Homo...</td>\n",
       "      <td>False</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 1694, 'found': ...</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 885, 'found': 2...</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>270</th>\n",
       "      <td>R-HSA-8856828</td>\n",
       "      <td>8856828</td>\n",
       "      <td>Clathrin-mediated endocytosis</td>\n",
       "      <td>{'dbId': 48887, 'taxId': '9606', 'name': 'Homo...</td>\n",
       "      <td>True</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 161, 'found': 1...</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 35, 'found': 11...</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>271</th>\n",
       "      <td>R-HSA-425393</td>\n",
       "      <td>425393</td>\n",
       "      <td>Transport of inorganic cations/anions and amin...</td>\n",
       "      <td>{'dbId': 48887, 'taxId': '9606', 'name': 'Homo...</td>\n",
       "      <td>True</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 164, 'found': 1...</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 75, 'found': 1,...</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>272</th>\n",
       "      <td>R-HSA-2142753</td>\n",
       "      <td>2142753</td>\n",
       "      <td>Arachidonic acid metabolism</td>\n",
       "      <td>{'dbId': 48887, 'taxId': '9606', 'name': 'Homo...</td>\n",
       "      <td>True</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 165, 'found': 1...</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 77, 'found': 4,...</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>273</th>\n",
       "      <td>R-HSA-2173782</td>\n",
       "      <td>2173782</td>\n",
       "      <td>Binding and Uptake of Ligands by Scavenger Rec...</td>\n",
       "      <td>{'dbId': 48887, 'taxId': '9606', 'name': 'Homo...</td>\n",
       "      <td>False</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 167, 'found': 1...</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 33, 'found': 2,...</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>274</th>\n",
       "      <td>R-HSA-2187338</td>\n",
       "      <td>2187338</td>\n",
       "      <td>Visual phototransduction</td>\n",
       "      <td>{'dbId': 48887, 'taxId': '9606', 'name': 'Homo...</td>\n",
       "      <td>False</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 169, 'found': 1...</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 92, 'found': 3,...</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>275</th>\n",
       "      <td>R-HSA-418555</td>\n",
       "      <td>418555</td>\n",
       "      <td>G alpha (s) signalling events</td>\n",
       "      <td>{'dbId': 48887, 'taxId': '9606', 'name': 'Homo...</td>\n",
       "      <td>True</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 172, 'found': 1...</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 18, 'found': 4,...</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>276</th>\n",
       "      <td>R-HSA-168249</td>\n",
       "      <td>168249</td>\n",
       "      <td>Innate Immune System</td>\n",
       "      <td>{'dbId': 48887, 'taxId': '9606', 'name': 'Homo...</td>\n",
       "      <td>False</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 1334, 'found': ...</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 710, 'found': 1...</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>277</th>\n",
       "      <td>R-HSA-983705</td>\n",
       "      <td>983705</td>\n",
       "      <td>Signaling by the B Cell Receptor (BCR)</td>\n",
       "      <td>{'dbId': 48887, 'taxId': '9606', 'name': 'Homo...</td>\n",
       "      <td>False</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 189, 'found': 1...</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 44, 'found': 3,...</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>278</th>\n",
       "      <td>R-HSA-2029480</td>\n",
       "      <td>2029480</td>\n",
       "      <td>Fcgamma receptor (FCGR) dependent phagocytosis</td>\n",
       "      <td>{'dbId': 48887, 'taxId': '9606', 'name': 'Homo...</td>\n",
       "      <td>False</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 193, 'found': 1...</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 42, 'found': 6,...</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>279</th>\n",
       "      <td>R-HSA-5621481</td>\n",
       "      <td>5621481</td>\n",
       "      <td>C-type lectin receptors (CLRs)</td>\n",
       "      <td>{'dbId': 48887, 'taxId': '9606', 'name': 'Homo...</td>\n",
       "      <td>False</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 203, 'found': 1...</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 68, 'found': 4,...</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>280</th>\n",
       "      <td>R-HSA-5689880</td>\n",
       "      <td>5689880</td>\n",
       "      <td>Ub-specific processing proteases</td>\n",
       "      <td>{'dbId': 48887, 'taxId': '9606', 'name': 'Homo...</td>\n",
       "      <td>True</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 206, 'found': 1...</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 40, 'found': 2,...</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>281</th>\n",
       "      <td>R-HSA-983712</td>\n",
       "      <td>983712</td>\n",
       "      <td>Ion channel transport</td>\n",
       "      <td>{'dbId': 48887, 'taxId': '9606', 'name': 'Homo...</td>\n",
       "      <td>True</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 206, 'found': 1...</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 45, 'found': 2,...</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>282</th>\n",
       "      <td>R-HSA-69278</td>\n",
       "      <td>69278</td>\n",
       "      <td>Cell Cycle, Mitotic</td>\n",
       "      <td>{'dbId': 48887, 'taxId': '9606', 'name': 'Homo...</td>\n",
       "      <td>False</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 596, 'found': 2...</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 350, 'found': 8...</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>283</th>\n",
       "      <td>R-HSA-2454202</td>\n",
       "      <td>2454202</td>\n",
       "      <td>Fc epsilon receptor (FCERI) signaling</td>\n",
       "      <td>{'dbId': 48887, 'taxId': '9606', 'name': 'Homo...</td>\n",
       "      <td>True</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 235, 'found': 1...</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 65, 'found': 4,...</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>284</th>\n",
       "      <td>R-HSA-449147</td>\n",
       "      <td>449147</td>\n",
       "      <td>Signaling by Interleukins</td>\n",
       "      <td>{'dbId': 48887, 'taxId': '9606', 'name': 'Homo...</td>\n",
       "      <td>False</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 643, 'found': 2...</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 493, 'found': 1...</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>285</th>\n",
       "      <td>R-HSA-199991</td>\n",
       "      <td>199991</td>\n",
       "      <td>Membrane Trafficking</td>\n",
       "      <td>{'dbId': 48887, 'taxId': '9606', 'name': 'Homo...</td>\n",
       "      <td>False</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 665, 'found': 2...</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 219, 'found': 1...</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>286</th>\n",
       "      <td>R-HSA-9709957</td>\n",
       "      <td>9709957</td>\n",
       "      <td>Sensory Perception</td>\n",
       "      <td>{'dbId': 48887, 'taxId': '9606', 'name': 'Homo...</td>\n",
       "      <td>False</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 681, 'found': 2...</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 107, 'found': 5...</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>287</th>\n",
       "      <td>R-HSA-597592</td>\n",
       "      <td>597592</td>\n",
       "      <td>Post-translational protein modification</td>\n",
       "      <td>{'dbId': 48887, 'taxId': '9606', 'name': 'Homo...</td>\n",
       "      <td>False</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 1598, 'found': ...</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 526, 'found': 8...</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>288</th>\n",
       "      <td>R-HSA-1640170</td>\n",
       "      <td>1640170</td>\n",
       "      <td>Cell Cycle</td>\n",
       "      <td>{'dbId': 48887, 'taxId': '9606', 'name': 'Homo...</td>\n",
       "      <td>False</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 734, 'found': 2...</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 449, 'found': 1...</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>289</th>\n",
       "      <td>R-HSA-1474244</td>\n",
       "      <td>1474244</td>\n",
       "      <td>Extracellular matrix organization</td>\n",
       "      <td>{'dbId': 48887, 'taxId': '9606', 'name': 'Homo...</td>\n",
       "      <td>True</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 329, 'found': 1...</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 319, 'found': 1...</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>290</th>\n",
       "      <td>R-HSA-1852241</td>\n",
       "      <td>1852241</td>\n",
       "      <td>Organelle biogenesis and maintenance</td>\n",
       "      <td>{'dbId': 48887, 'taxId': '9606', 'name': 'Homo...</td>\n",
       "      <td>False</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 336, 'found': 1...</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 86, 'found': 1,...</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>291</th>\n",
       "      <td>R-HSA-168256</td>\n",
       "      <td>168256</td>\n",
       "      <td>Immune System</td>\n",
       "      <td>{'dbId': 48887, 'taxId': '9606', 'name': 'Homo...</td>\n",
       "      <td>False</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 2681, 'found': ...</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 1623, 'found': ...</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>292</th>\n",
       "      <td>R-HSA-9006925</td>\n",
       "      <td>9006925</td>\n",
       "      <td>Intracellular signaling by second messengers</td>\n",
       "      <td>{'dbId': 48887, 'taxId': '9606', 'name': 'Homo...</td>\n",
       "      <td>False</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 366, 'found': 1...</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 114, 'found': 1...</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>293</th>\n",
       "      <td>R-HSA-196854</td>\n",
       "      <td>196854</td>\n",
       "      <td>Metabolism of vitamins and cofactors</td>\n",
       "      <td>{'dbId': 48887, 'taxId': '9606', 'name': 'Homo...</td>\n",
       "      <td>False</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 377, 'found': 1...</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 206, 'found': 2...</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>294</th>\n",
       "      <td>R-HSA-425407</td>\n",
       "      <td>425407</td>\n",
       "      <td>SLC-mediated transmembrane transport</td>\n",
       "      <td>{'dbId': 48887, 'taxId': '9606', 'name': 'Homo...</td>\n",
       "      <td>False</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 415, 'found': 1...</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 191, 'found': 1...</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>295</th>\n",
       "      <td>R-HSA-8978868</td>\n",
       "      <td>8978868</td>\n",
       "      <td>Fatty acid metabolism</td>\n",
       "      <td>{'dbId': 48887, 'taxId': '9606', 'name': 'Homo...</td>\n",
       "      <td>False</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 428, 'found': 1...</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 217, 'found': 4...</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>296</th>\n",
       "      <td>R-HSA-382551</td>\n",
       "      <td>382551</td>\n",
       "      <td>Transport of small molecules</td>\n",
       "      <td>{'dbId': 48887, 'taxId': '9606', 'name': 'Homo...</td>\n",
       "      <td>False</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 958, 'found': 2...</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 442, 'found': 6...</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>297</th>\n",
       "      <td>R-HSA-71387</td>\n",
       "      <td>71387</td>\n",
       "      <td>Metabolism of carbohydrates</td>\n",
       "      <td>{'dbId': 48887, 'taxId': '9606', 'name': 'Homo...</td>\n",
       "      <td>False</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 456, 'found': 1...</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 243, 'found': 3...</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>298</th>\n",
       "      <td>R-HSA-1280215</td>\n",
       "      <td>1280215</td>\n",
       "      <td>Cytokine Signaling in Immune system</td>\n",
       "      <td>{'dbId': 48887, 'taxId': '9606', 'name': 'Homo...</td>\n",
       "      <td>False</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 1092, 'found': ...</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 708, 'found': 1...</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>299</th>\n",
       "      <td>R-HSA-71291</td>\n",
       "      <td>71291</td>\n",
       "      <td>Metabolism of amino acids and derivatives</td>\n",
       "      <td>{'dbId': 48887, 'taxId': '9606', 'name': 'Homo...</td>\n",
       "      <td>False</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 661, 'found': 1...</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 285, 'found': 3...</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>300</th>\n",
       "      <td>R-HSA-8953854</td>\n",
       "      <td>8953854</td>\n",
       "      <td>Metabolism of RNA</td>\n",
       "      <td>{'dbId': 48887, 'taxId': '9606', 'name': 'Homo...</td>\n",
       "      <td>False</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 782, 'found': 1...</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 187, 'found': 1...</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>301</th>\n",
       "      <td>R-HSA-1280218</td>\n",
       "      <td>1280218</td>\n",
       "      <td>Adaptive Immune System</td>\n",
       "      <td>{'dbId': 48887, 'taxId': '9606', 'name': 'Homo...</td>\n",
       "      <td>False</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 1004, 'found': ...</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 264, 'found': 3...</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>302</th>\n",
       "      <td>R-HSA-556833</td>\n",
       "      <td>556833</td>\n",
       "      <td>Metabolism of lipids</td>\n",
       "      <td>{'dbId': 48887, 'taxId': '9606', 'name': 'Homo...</td>\n",
       "      <td>False</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 1437, 'found': ...</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 949, 'found': 4...</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>303</th>\n",
       "      <td>R-HSA-1430728</td>\n",
       "      <td>1430728</td>\n",
       "      <td>Metabolism</td>\n",
       "      <td>{'dbId': 48887, 'taxId': '9606', 'name': 'Homo...</td>\n",
       "      <td>False</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 3633, 'found': ...</td>\n",
       "      <td>{'resource': 'TOTAL', 'total': 2250, 'found': ...</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "              stId     dbId  \\\n",
       "0      R-HSA-76002    76002   \n",
       "1     R-HSA-114608   114608   \n",
       "2      R-HSA-76005    76005   \n",
       "3     R-HSA-109582   109582   \n",
       "4     R-HSA-445355   445355   \n",
       "5    R-HSA-8936459  8936459   \n",
       "6     R-HSA-418594   418594   \n",
       "7     R-HSA-140877   140877   \n",
       "8     R-HSA-380108   380108   \n",
       "9    R-HSA-5250924  5250924   \n",
       "10   R-HSA-5250913  5250913   \n",
       "11   R-HSA-5625740  5625740   \n",
       "12    R-HSA-195258   195258   \n",
       "13    R-HSA-977225   977225   \n",
       "14    R-HSA-388396   388396   \n",
       "15    R-HSA-397014   397014   \n",
       "16   R-HSA-2682334  2682334   \n",
       "17    R-HSA-140875   140875   \n",
       "18   R-HSA-5627123  5627123   \n",
       "19   R-HSA-9620244  9620244   \n",
       "20    R-HSA-372790   372790   \n",
       "21    R-HSA-162582   162582   \n",
       "22   R-HSA-8939211  8939211   \n",
       "23   R-HSA-8878171  8878171   \n",
       "24    R-HSA-451326   451326   \n",
       "25     R-HSA-73728    73728   \n",
       "26   R-HSA-1474165  1474165   \n",
       "27   R-HSA-5334118  5334118   \n",
       "28   R-HSA-5626467  5626467   \n",
       "29    R-HSA-212165   212165   \n",
       "30    R-HSA-194315   194315   \n",
       "31   R-HSA-9716542  9716542   \n",
       "32    R-HSA-212300   212300   \n",
       "33   R-HSA-9670095  9670095   \n",
       "34   R-HSA-5625886  5625886   \n",
       "35    R-HSA-427359   427359   \n",
       "36    R-HSA-427389   427389   \n",
       "37    R-HSA-195721   195721   \n",
       "38   R-HSA-1251985  1251985   \n",
       "39   R-HSA-2299718  2299718   \n",
       "40    R-HSA-912446   912446   \n",
       "41     R-HSA-73772    73772   \n",
       "42   R-HSA-3299685  3299685   \n",
       "43   R-HSA-9006931  9006931   \n",
       "44    R-HSA-201722   201722   \n",
       "45    R-HSA-375276   375276   \n",
       "46   R-HSA-9616222  9616222   \n",
       "47   R-HSA-5250941  5250941   \n",
       "48    R-HSA-427413   427413   \n",
       "49   R-HSA-4086398  4086398   \n",
       "50   R-HSA-1300645  1300645   \n",
       "51    R-HSA-112314   112314   \n",
       "52   R-HSA-5578749  5578749   \n",
       "53     R-HSA-73854    73854   \n",
       "54     R-HSA-73864    73864   \n",
       "55   R-HSA-1445148  1445148   \n",
       "56   R-HSA-1912408  1912408   \n",
       "57   R-HSA-6783783  6783783   \n",
       "58   R-HSA-1236394  1236394   \n",
       "59   R-HSA-2559582  2559582   \n",
       "60   R-HSA-1500620  1500620   \n",
       "61    R-HSA-111957   111957   \n",
       "62    R-HSA-196025   196025   \n",
       "63    R-HSA-190873   190873   \n",
       "64    R-HSA-390450   390450   \n",
       "65    R-HSA-451308   451308   \n",
       "66   R-HSA-9619229  9619229   \n",
       "67    R-HSA-442729   442729   \n",
       "68    R-HSA-111932   111932   \n",
       "69   R-HSA-5617472  5617472   \n",
       "70   R-HSA-5619507  5619507   \n",
       "71    R-HSA-430116   430116   \n",
       "72   R-HSA-2025928  2025928   \n",
       "73    R-HSA-438064   438064   \n",
       "74    R-HSA-451306   451306   \n",
       "75   R-HSA-3000497  3000497   \n",
       "76    R-HSA-442755   442755   \n",
       "77    R-HSA-111885   111885   \n",
       "78    R-HSA-428359   428359   \n",
       "79    R-HSA-418359   418359   \n",
       "80    R-HSA-390466   390466   \n",
       "81    R-HSA-425561   425561   \n",
       "82     R-HSA-68875    68875   \n",
       "83    R-HSA-391251   391251   \n",
       "84   R-HSA-8939236  8939236   \n",
       "85   R-HSA-5689603  5689603   \n",
       "86     R-HSA-75892    75892   \n",
       "87    R-HSA-157579   157579   \n",
       "88   R-HSA-3214847  3214847   \n",
       "89    R-HSA-418346   418346   \n",
       "90   R-HSA-2559580  2559580   \n",
       "91   R-HSA-4420097  4420097   \n",
       "92   R-HSA-9009391  9009391   \n",
       "93    R-HSA-194138   194138   \n",
       "94   R-HSA-1912422  1912422   \n",
       "95    R-HSA-211000   211000   \n",
       "96     R-HSA-73886    73886   \n",
       "97    R-HSA-112315   112315   \n",
       "98    R-HSA-442720   442720   \n",
       "99   R-HSA-8964315  8964315   \n",
       "100   R-HSA-418217   418217   \n",
       "101  R-HSA-9617324  9617324   \n",
       "102   R-HSA-442982   442982   \n",
       "103   R-HSA-389957   389957   \n",
       "104  R-HSA-1296059  1296059   \n",
       "105   R-HSA-997272   997272   \n",
       "106  R-HSA-1296041  1296041   \n",
       "107   R-HSA-171306   171306   \n",
       "108  R-HSA-8964616  8964616   \n",
       "109   R-HSA-202040   202040   \n",
       "110   R-HSA-392851   392851   \n",
       "111   R-HSA-392170   392170   \n",
       "112   R-HSA-428930   428930   \n",
       "113  R-HSA-5607763  5607763   \n",
       "114   R-HSA-400042   400042   \n",
       "115   R-HSA-500657   500657   \n",
       "116   R-HSA-392451   392451   \n",
       "117   R-HSA-445095   445095   \n",
       "118  R-HSA-5576892  5576892   \n",
       "119   R-HSA-418592   418592   \n",
       "120   R-HSA-456926   456926   \n",
       "121  R-HSA-2142712  2142712   \n",
       "122  R-HSA-5689901  5689901   \n",
       "123  R-HSA-9619483  9619483   \n",
       "124  R-HSA-5627117  5627117   \n",
       "125  R-HSA-2142770  2142770   \n",
       "126   R-HSA-163615   163615   \n",
       "127  R-HSA-2142688  2142688   \n",
       "128  R-HSA-3928663  3928663   \n",
       "129  R-HSA-3858494  3858494   \n",
       "130  R-HSA-9018519  9018519   \n",
       "131    R-HSA-70221    70221   \n",
       "132   R-HSA-438066   438066   \n",
       "133  R-HSA-5625900  5625900   \n",
       "134   R-HSA-140837   140837   \n",
       "135   R-HSA-180024   180024   \n",
       "136   R-HSA-416572   416572   \n",
       "137   R-HSA-111931   111931   \n",
       "138   R-HSA-418990   418990   \n",
       "139   R-HSA-418360   418360   \n",
       "140   R-HSA-420092   420092   \n",
       "141  R-HSA-8876725  8876725   \n",
       "142  R-HSA-1187000  1187000   \n",
       "143   R-HSA-446353   446353   \n",
       "144  R-HSA-3928664  3928664   \n",
       "145  R-HSA-2559583  2559583   \n",
       "146  R-HSA-5218921  5218921   \n",
       "147   R-HSA-400685   400685   \n",
       "148   R-HSA-983231   983231   \n",
       "149   R-HSA-500792   500792   \n",
       "150   R-HSA-373076   373076   \n",
       "151  R-HSA-9006934  9006934   \n",
       "152  R-HSA-9711123  9711123   \n",
       "153   R-HSA-389958   389958   \n",
       "154   R-HSA-203615   203615   \n",
       "155  R-HSA-1474151  1474151   \n",
       "156   R-HSA-201681   201681   \n",
       "157  R-HSA-1296065  1296065   \n",
       "158   R-HSA-397795   397795   \n",
       "159  R-HSA-9013424  9013424   \n",
       "160   R-HSA-442742   442742   \n",
       "161  R-HSA-9022692  9022692   \n",
       "162   R-HSA-110330   110330   \n",
       "163  R-HSA-1855204  1855204   \n",
       "164   R-HSA-390522   390522   \n",
       "165   R-HSA-392518   392518   \n",
       "166  R-HSA-5696394  5696394   \n",
       "167   R-HSA-163359   163359   \n",
       "168  R-HSA-5663213  5663213   \n",
       "169   R-HSA-202131   202131   \n",
       "170  R-HSA-6814122  6814122   \n",
       "171  R-HSA-5673000  5673000   \n",
       "172   R-HSA-112316   112316   \n",
       "173   R-HSA-110328   110328   \n",
       "174   R-HSA-111997   111997   \n",
       "175   R-HSA-111933   111933   \n",
       "176  R-HSA-8982491  8982491   \n",
       "177  R-HSA-5218920  5218920   \n",
       "178   R-HSA-110331   110331   \n",
       "179  R-HSA-9035034  9035034   \n",
       "180  R-HSA-9648002  9648002   \n",
       "181    R-HSA-73927    73927   \n",
       "182   R-HSA-111996   111996   \n",
       "183  R-HSA-5674135  5674135   \n",
       "184   R-HSA-991365   991365   \n",
       "185   R-HSA-977444   977444   \n",
       "186   R-HSA-381676   381676   \n",
       "187  R-HSA-4839726  4839726   \n",
       "188  R-HSA-3247509  3247509   \n",
       "189   R-HSA-350562   350562   \n",
       "190   R-HSA-110329   110329   \n",
       "191    R-HSA-73928    73928   \n",
       "192  R-HSA-3928662  3928662   \n",
       "193   R-HSA-202733   202733   \n",
       "194   R-HSA-157118   157118   \n",
       "195   R-HSA-190828   190828   \n",
       "196   R-HSA-432040   432040   \n",
       "197  R-HSA-1489509  1489509   \n",
       "198  R-HSA-3214858  3214858   \n",
       "199    R-HSA-76009    76009   \n",
       "200   R-HSA-606279   606279   \n",
       "201   R-HSA-774815   774815   \n",
       "202  R-HSA-2514859  2514859   \n",
       "203   R-HSA-437239   437239   \n",
       "204  R-HSA-3928665  3928665   \n",
       "205   R-HSA-157858   157858   \n",
       "206  R-HSA-2514856  2514856   \n",
       "207   R-HSA-416476   416476   \n",
       "208   R-HSA-418597   418597   \n",
       "209  R-HSA-1221632  1221632   \n",
       "210    R-HSA-73929    73929   \n",
       "211  R-HSA-5688426  5688426   \n",
       "212  R-HSA-3214815  3214815   \n",
       "213  R-HSA-1266738  1266738   \n",
       "214   R-HSA-422475   422475   \n",
       "215  R-HSA-5578775  5578775   \n",
       "216  R-HSA-9662361  9662361   \n",
       "217  R-HSA-8978934  8978934   \n",
       "218   R-HSA-112043   112043   \n",
       "219   R-HSA-977443   977443   \n",
       "220   R-HSA-421270   421270   \n",
       "221   R-HSA-445717   445717   \n",
       "222   R-HSA-373755   373755   \n",
       "223  R-HSA-2262752  2262752   \n",
       "224   R-HSA-936837   936837   \n",
       "225  R-HSA-2559586  2559586   \n",
       "226   R-HSA-112040   112040   \n",
       "227  R-HSA-9675108  9675108   \n",
       "228  R-HSA-8953897  8953897   \n",
       "229  R-HSA-5673001  5673001   \n",
       "230  R-HSA-9662360  9662360   \n",
       "231  R-HSA-5684996  5684996   \n",
       "232  R-HSA-3000178  3000178   \n",
       "233   R-HSA-351202   351202   \n",
       "234   R-HSA-416482   416482   \n",
       "235  R-HSA-9659379  9659379   \n",
       "236  R-HSA-2151201  2151201   \n",
       "237  R-HSA-1483249  1483249   \n",
       "238  R-HSA-1168372  1168372   \n",
       "239  R-HSA-5696399  5696399   \n",
       "240   R-HSA-392499   392499   \n",
       "241   R-HSA-446728   446728   \n",
       "242    R-HSA-73894    73894   \n",
       "243    R-HSA-73884    73884   \n",
       "244   R-HSA-373080   373080   \n",
       "245  R-HSA-8986944  8986944   \n",
       "246  R-HSA-5683057  5683057   \n",
       "247    R-HSA-74160    74160   \n",
       "248   R-HSA-983695   983695   \n",
       "249   R-HSA-422356   422356   \n",
       "250  R-HSA-1296071  1296071   \n",
       "251  R-HSA-8957275  8957275   \n",
       "252    R-HSA-68886    68886   \n",
       "253  R-HSA-2672351  2672351   \n",
       "254  R-HSA-5696398  5696398   \n",
       "255  R-HSA-5607764  5607764   \n",
       "256   R-HSA-212436   212436   \n",
       "257   R-HSA-381426   381426   \n",
       "258  R-HSA-1592230  1592230   \n",
       "259  R-HSA-2871809  2871809   \n",
       "260   R-HSA-373760   373760   \n",
       "261  R-HSA-1500931  1500931   \n",
       "262  R-HSA-5653656  5653656   \n",
       "263  R-HSA-5576891  5576891   \n",
       "264  R-HSA-9012999  9012999   \n",
       "265   R-HSA-163685   163685   \n",
       "266  R-HSA-6798695  6798695   \n",
       "267  R-HSA-5663220  5663220   \n",
       "268  R-HSA-2029482  2029482   \n",
       "269    R-HSA-73857    73857   \n",
       "270  R-HSA-8856828  8856828   \n",
       "271   R-HSA-425393   425393   \n",
       "272  R-HSA-2142753  2142753   \n",
       "273  R-HSA-2173782  2173782   \n",
       "274  R-HSA-2187338  2187338   \n",
       "275   R-HSA-418555   418555   \n",
       "276   R-HSA-168249   168249   \n",
       "277   R-HSA-983705   983705   \n",
       "278  R-HSA-2029480  2029480   \n",
       "279  R-HSA-5621481  5621481   \n",
       "280  R-HSA-5689880  5689880   \n",
       "281   R-HSA-983712   983712   \n",
       "282    R-HSA-69278    69278   \n",
       "283  R-HSA-2454202  2454202   \n",
       "284   R-HSA-449147   449147   \n",
       "285   R-HSA-199991   199991   \n",
       "286  R-HSA-9709957  9709957   \n",
       "287   R-HSA-597592   597592   \n",
       "288  R-HSA-1640170  1640170   \n",
       "289  R-HSA-1474244  1474244   \n",
       "290  R-HSA-1852241  1852241   \n",
       "291   R-HSA-168256   168256   \n",
       "292  R-HSA-9006925  9006925   \n",
       "293   R-HSA-196854   196854   \n",
       "294   R-HSA-425407   425407   \n",
       "295  R-HSA-8978868  8978868   \n",
       "296   R-HSA-382551   382551   \n",
       "297    R-HSA-71387    71387   \n",
       "298  R-HSA-1280215  1280215   \n",
       "299    R-HSA-71291    71291   \n",
       "300  R-HSA-8953854  8953854   \n",
       "301  R-HSA-1280218  1280218   \n",
       "302   R-HSA-556833   556833   \n",
       "303  R-HSA-1430728  1430728   \n",
       "\n",
       "                                                  name  \\\n",
       "0       Platelet activation, signaling and aggregation   \n",
       "1                              Platelet degranulation    \n",
       "2         Response to elevated platelet cytosolic Ca2+   \n",
       "3                                           Hemostasis   \n",
       "4                            Smooth Muscle Contraction   \n",
       "5    RUNX1 regulates genes involved in megakaryocyt...   \n",
       "6                        G alpha (i) signalling events   \n",
       "7          Formation of Fibrin Clot (Clotting Cascade)   \n",
       "8                  Chemokine receptors bind chemokines   \n",
       "9    B-WICH complex positively regulates rRNA expre...   \n",
       "10   Positive epigenetic regulation of rRNA expression   \n",
       "11                           RHO GTPases activate PKNs   \n",
       "12                                RHO GTPase Effectors   \n",
       "13                             Amyloid fiber formation   \n",
       "14                          GPCR downstream signalling   \n",
       "15                                  Muscle contraction   \n",
       "16                                EPH-Ephrin signaling   \n",
       "17             Common Pathway of Fibrin Clot Formation   \n",
       "18                           RHO GTPases activate PAKs   \n",
       "19                              Long-term potentiation   \n",
       "20                                   Signaling by GPCR   \n",
       "21                                 Signal Transduction   \n",
       "22                              ESR-mediated signaling   \n",
       "23                 Transcriptional regulation by RUNX1   \n",
       "24   Activation of kainate receptors upon glutamate...   \n",
       "25                   RNA Polymerase I Promoter Opening   \n",
       "26                                        Reproduction   \n",
       "27                                     DNA methylation   \n",
       "28                         RHO GTPases activate IQGAPs   \n",
       "29            Epigenetic regulation of gene expression   \n",
       "30                            Signaling by Rho GTPases   \n",
       "31   Signaling by Rho GTPases, Miro GTPases and RHO...   \n",
       "32                    PRC2 methylates histones and DNA   \n",
       "33         Inhibition of DNA recombination at telomere   \n",
       "34   Activated PKN1 stimulates transcription of AR ...   \n",
       "35          SIRT1 negatively regulates rRNA expression   \n",
       "36   ERCC6 (CSB) and EHMT2 (G9a) positively regulat...   \n",
       "37                                    Signaling by WNT   \n",
       "38                          Nuclear signaling by ERBB4   \n",
       "39                Condensation of Prophase Chromosomes   \n",
       "40                               Meiotic recombination   \n",
       "41                    RNA Polymerase I Promoter Escape   \n",
       "42           Detoxification of Reactive Oxygen Species   \n",
       "43                      Signaling by Nuclear Receptors   \n",
       "44   Formation of the beta-catenin:TCF transactivat...   \n",
       "45                    Peptide ligand-binding receptors   \n",
       "46        Transcriptional regulation of granulopoiesis   \n",
       "47   Negative epigenetic regulation of rRNA expression   \n",
       "48           NoRC negatively regulates rRNA expression   \n",
       "49                                        Ca2+ pathway   \n",
       "50   Acrosome Reaction and Sperm:Oocyte Membrane Bi...   \n",
       "51   Neurotransmitter receptors and postsynaptic si...   \n",
       "52            Transcriptional regulation by small RNAs   \n",
       "53                 RNA Polymerase I Promoter Clearance   \n",
       "54                      RNA Polymerase I Transcription   \n",
       "55   Translocation of SLC2A4 (GLUT4) to the plasma ...   \n",
       "56             Pre-NOTCH Transcription and Translation   \n",
       "57                            Interleukin-10 signaling   \n",
       "58                                  Signaling by ERBB4   \n",
       "59    Senescence-Associated Secretory Phenotype (SASP)   \n",
       "60                                             Meiosis   \n",
       "61                                Cam-PDE 1 activation   \n",
       "62                  Formation of annular gap junctions   \n",
       "63                            Gap junction degradation   \n",
       "64                        Folding of actin by CCT/TriC   \n",
       "65         Activation of Ca-permeable Kainate Receptor   \n",
       "66             Activation of RAC1 downstream of NMDARs   \n",
       "67   CREB1 phosphorylation through the activation o...   \n",
       "68            CaMK IV-mediated phosphorylation of CREB   \n",
       "69   Activation of anterior HOX genes in hindbrain ...   \n",
       "70      Activation of HOX genes during differentiation   \n",
       "71                     GP1b-IX-V activation signalling   \n",
       "72                          Calcineurin activates NFAT   \n",
       "73                Post NMDA receptor activation events   \n",
       "74            Ionotropic activity of kainate receptors   \n",
       "75                     Scavenging by Class H Receptors   \n",
       "76   Activation of NMDA receptors and postsynaptic ...   \n",
       "77                                   Opioid Signalling   \n",
       "78   Insulin-like Growth Factor-2 mRNA Binding Prot...   \n",
       "79                  Reduction of cytosolic Ca++ levels   \n",
       "80                 Chaperonin-mediated protein folding   \n",
       "81                           Sodium/Calcium exchangers   \n",
       "82                                    Mitotic Prophase   \n",
       "83                                     Protein folding   \n",
       "84   RUNX1 regulates transcription of genes involve...   \n",
       "85                                     UCH proteinases   \n",
       "86               Platelet Adhesion to exposed collagen   \n",
       "87                                Telomere Maintenance   \n",
       "88                             HATs acetylate histones   \n",
       "89                                Platelet homeostasis   \n",
       "90                 Oxidative Stress Induced Senescence   \n",
       "91                                VEGFA-VEGFR2 Pathway   \n",
       "92                    Extra-nuclear estrogen signaling   \n",
       "93                                   Signaling by VEGF   \n",
       "94                 Pre-NOTCH Expression and Processing   \n",
       "95                               Gene Silencing by RNA   \n",
       "96                              Chromosome Maintenance   \n",
       "97               Transmission across Chemical Synapses   \n",
       "98   CREB1 phosphorylation through the activation o...   \n",
       "99                 G beta:gamma signalling through BTK   \n",
       "100           G beta:gamma signalling through PLC beta   \n",
       "101  Negative regulation of NMDA receptor-mediated ...   \n",
       "102  Ras activation upon Ca2+ influx through NMDA r...   \n",
       "103  Prefoldin mediated transfer of substrate  to C...   \n",
       "104                 G protein gated Potassium channels   \n",
       "105  Inhibition  of voltage gated Ca2+ channels via...   \n",
       "106   Activation of G protein gated Potassium channels   \n",
       "107                         Packaging Of Telomere Ends   \n",
       "108              G beta:gamma signalling through CDC42   \n",
       "109                               G-protein activation   \n",
       "110  Prostacyclin signalling through prostacyclin r...   \n",
       "111         ADP signalling through P2Y purinoceptor 12   \n",
       "112         Thromboxane signalling through TP receptor   \n",
       "113          CLEC7A (Dectin-1) induces NFAT activation   \n",
       "114  Adrenaline,noradrenaline inhibits insulin secr...   \n",
       "115          Presynaptic function of Kainate receptors   \n",
       "116          G beta:gamma signalling through PI3Kgamma   \n",
       "117                Interaction between L1 and Ankyrins   \n",
       "118                     Phase 0 - rapid depolarisation   \n",
       "119          ADP signalling through P2Y purinoceptor 1   \n",
       "120  Thrombin signalling through proteinase activat...   \n",
       "121  Synthesis of 12-eicosatetraenoic acid derivatives   \n",
       "122                               Metalloprotease DUBs   \n",
       "123            Activation of AMPK downstream of NMDARs   \n",
       "124                         RHO GTPases Activate ROCKs   \n",
       "125  Synthesis of 15-eicosatetraenoic acid derivatives   \n",
       "126                                     PKA activation   \n",
       "127              Synthesis of 5-eicosatetraenoic acids   \n",
       "128                 EPHA-mediated growth cone collapse   \n",
       "129             Beta-catenin independent WNT signaling   \n",
       "130                 Estrogen-dependent gene expression   \n",
       "131                Glycogen breakdown (glycogenolysis)   \n",
       "132  Unblocking of NMDA receptors, glutamate bindin...   \n",
       "133                           RHO GTPases activate CIT   \n",
       "134         Intrinsic Pathway of Fibrin Clot Formation   \n",
       "135                                    DARPP-32 events   \n",
       "136  Sema4D induced cell migration and growth-cone ...   \n",
       "137               PKA-mediated phosphorylation of CREB   \n",
       "138                    Adherens junctions interactions   \n",
       "139                       Platelet calcium homeostasis   \n",
       "140                     Glucagon-type ligand receptors   \n",
       "141                                Protein methylation   \n",
       "142                                      Fertilization   \n",
       "143             Cell-extracellular matrix interactions   \n",
       "144                                   Ephrin signaling   \n",
       "145                                Cellular Senescence   \n",
       "146                 VEGFR2 mediated cell proliferation   \n",
       "147                     Sema4D in semaphorin signaling   \n",
       "148  Factors involved in megakaryocyte development ...   \n",
       "149                                GPCR ligand binding   \n",
       "150               Class A/1 (Rhodopsin-like receptors)   \n",
       "151             Signaling by Receptor Tyrosine Kinases   \n",
       "152               Cellular response to chemical stress   \n",
       "153  Cooperation of Prefoldin and TriC/CCT  in acti...   \n",
       "154                                    eNOS activation   \n",
       "155  Tetrahydrobiopterin (BH4) synthesis, recycling...   \n",
       "156         TCF dependent signaling in response to WNT   \n",
       "157                    Inwardly rectifying K+ channels   \n",
       "158                    G-protein beta:gamma signalling   \n",
       "159                                  RHOV GTPase cycle   \n",
       "160  CREB1 phosphorylation through NMDA receptor-me...   \n",
       "161        Regulation of MECP2 expression and activity   \n",
       "162  Recognition and association of DNA glycosylase...   \n",
       "163            Synthesis of IP3 and IP4 in the cytosol   \n",
       "164                        Striated Muscle Contraction   \n",
       "165                               Signal amplification   \n",
       "166                   DNA Damage Recognition in GG-NER   \n",
       "167         Glucagon signaling in metabolic regulation   \n",
       "168               RHO GTPases Activate WASPs and WAVEs   \n",
       "169  Metabolism of nitric oxide: NOS3 activation an...   \n",
       "170  Cooperation of PDCL (PhLP1) and TRiC/CCT in G-...   \n",
       "171                                     RAF activation   \n",
       "172                                    Neuronal System   \n",
       "173  Recognition and association of DNA glycosylase...   \n",
       "174                                        CaM pathway   \n",
       "175                          Calmodulin induced events   \n",
       "176                                Glycogen metabolism   \n",
       "177              VEGFR2 mediated vascular permeability   \n",
       "178                     Cleavage of the damaged purine   \n",
       "179                                  RHOF GTPase cycle   \n",
       "180                                     RAS processing   \n",
       "181                                       Depurination   \n",
       "182                                Ca-dependent events   \n",
       "183                          MAP2K and MAPK activation   \n",
       "184                      Activation of GABAB receptors   \n",
       "185                         GABA B receptor activation   \n",
       "186  Glucagon-like Peptide-1 (GLP1) regulates insul...   \n",
       "187                             Chromatin organization   \n",
       "188                        Chromatin modifying enzymes   \n",
       "189        Regulation of ornithine decarboxylase (ODC)   \n",
       "190                Cleavage of the damaged pyrimidine    \n",
       "191                                   Depyrimidination   \n",
       "192                    EPHB-mediated forward signaling   \n",
       "193     Cell surface interactions at the vascular wall   \n",
       "194                                 Signaling by NOTCH   \n",
       "195                           Gap junction trafficking   \n",
       "196  Vasopressin regulates renal water homeostasis ...   \n",
       "197                              DAG and IP3 signaling   \n",
       "198                   RMTs methylate histone arginines   \n",
       "199              Platelet Aggregation (Plug Formation)   \n",
       "200  Deposition of new CENPA-containing nucleosomes...   \n",
       "201                                Nucleosome assembly   \n",
       "202  Inactivation, recovery and regulation of the p...   \n",
       "203                            Recycling pathway of L1   \n",
       "204             EPH-ephrin mediated repulsion of cells   \n",
       "205            Gap junction trafficking and regulation   \n",
       "206                      The phototransduction cascade   \n",
       "207                      G alpha (q) signalling events   \n",
       "208                      G alpha (z) signalling events   \n",
       "209                                   Meiotic synapsis   \n",
       "210            Base-Excision Repair, AP Site Formation   \n",
       "211                                   Deubiquitination   \n",
       "212                         HDACs deacetylate histones   \n",
       "213                              Developmental Biology   \n",
       "214                                      Axon guidance   \n",
       "215                                    Ion homeostasis   \n",
       "216  Sensory processing of sound by outer hair cell...   \n",
       "217                            Metabolism of cofactors   \n",
       "218                           PLC beta mediated events   \n",
       "219                           GABA receptor activation   \n",
       "220                    Cell-cell junction organization   \n",
       "221                       Aquaporin-mediated transport   \n",
       "222                            Semaphorin interactions   \n",
       "223                       Cellular responses to stress   \n",
       "224                    Ion transport by P-type ATPases   \n",
       "225      DNA Damage/Telomere Stress Induced Senescence   \n",
       "226                          G-protein mediated events   \n",
       "227                         Nervous system development   \n",
       "228                      Cellular responses to stimuli   \n",
       "229                             RAF/MAP kinase cascade   \n",
       "230  Sensory processing of sound by inner hair cell...   \n",
       "231                              MAPK1/MAPK3 signaling   \n",
       "232                                  ECM proteoglycans   \n",
       "233                           Metabolism of polyamines   \n",
       "234                  G alpha (12/13) signalling events   \n",
       "235                        Sensory processing of sound   \n",
       "236  Transcriptional activation of mitochondrial bi...   \n",
       "237                      Inositol phosphate metabolism   \n",
       "238  Downstream signaling events of B Cell Receptor...   \n",
       "239  Global Genome Nucleotide Excision Repair (GG-NER)   \n",
       "240                             Metabolism of proteins   \n",
       "241                         Cell junction organization   \n",
       "242                                         DNA Repair   \n",
       "243                               Base Excision Repair   \n",
       "244              Class B/2 (Secretin family receptors)   \n",
       "245                Transcriptional Regulation by MECP2   \n",
       "246                     MAPK family signaling cascades   \n",
       "247                    Gene expression (Transcription)   \n",
       "248  Antigen activates B Cell Receptor (BCR) leadin...   \n",
       "249                    Regulation of insulin secretion   \n",
       "250                                 Potassium Channels   \n",
       "251         Post-translational protein phosphorylation   \n",
       "252                                            M Phase   \n",
       "253                           Stimuli-sensing channels   \n",
       "254                         Nucleotide Excision Repair   \n",
       "255                        CLEC7A (Dectin-1) signaling   \n",
       "256                      Generic Transcription Pathway   \n",
       "257  Regulation of Insulin-like Growth Factor (IGF)...   \n",
       "258                           Mitochondrial biogenesis   \n",
       "259                   FCERI mediated Ca+2 mobilization   \n",
       "260                                 L1CAM interactions   \n",
       "261                            Cell-Cell communication   \n",
       "262                         Vesicle-mediated transport   \n",
       "263                                 Cardiac conduction   \n",
       "264                                   RHO GTPase cycle   \n",
       "265                   Integration of energy metabolism   \n",
       "266                           Neutrophil degranulation   \n",
       "267                       RHO GTPases Activate Formins   \n",
       "268  Regulation of actin dynamics for phagocytic cu...   \n",
       "269                    RNA Polymerase II Transcription   \n",
       "270                      Clathrin-mediated endocytosis   \n",
       "271  Transport of inorganic cations/anions and amin...   \n",
       "272                        Arachidonic acid metabolism   \n",
       "273  Binding and Uptake of Ligands by Scavenger Rec...   \n",
       "274                           Visual phototransduction   \n",
       "275                      G alpha (s) signalling events   \n",
       "276                               Innate Immune System   \n",
       "277             Signaling by the B Cell Receptor (BCR)   \n",
       "278     Fcgamma receptor (FCGR) dependent phagocytosis   \n",
       "279                     C-type lectin receptors (CLRs)   \n",
       "280                   Ub-specific processing proteases   \n",
       "281                              Ion channel transport   \n",
       "282                                Cell Cycle, Mitotic   \n",
       "283              Fc epsilon receptor (FCERI) signaling   \n",
       "284                          Signaling by Interleukins   \n",
       "285                               Membrane Trafficking   \n",
       "286                                 Sensory Perception   \n",
       "287            Post-translational protein modification   \n",
       "288                                         Cell Cycle   \n",
       "289                  Extracellular matrix organization   \n",
       "290               Organelle biogenesis and maintenance   \n",
       "291                                      Immune System   \n",
       "292       Intracellular signaling by second messengers   \n",
       "293               Metabolism of vitamins and cofactors   \n",
       "294               SLC-mediated transmembrane transport   \n",
       "295                              Fatty acid metabolism   \n",
       "296                       Transport of small molecules   \n",
       "297                        Metabolism of carbohydrates   \n",
       "298                Cytokine Signaling in Immune system   \n",
       "299          Metabolism of amino acids and derivatives   \n",
       "300                                  Metabolism of RNA   \n",
       "301                             Adaptive Immune System   \n",
       "302                               Metabolism of lipids   \n",
       "303                                         Metabolism   \n",
       "\n",
       "                                               species    llp  \\\n",
       "0    {'dbId': 48887, 'taxId': '9606', 'name': 'Homo...  False   \n",
       "1    {'dbId': 48887, 'taxId': '9606', 'name': 'Homo...   True   \n",
       "2    {'dbId': 48887, 'taxId': '9606', 'name': 'Homo...   True   \n",
       "3    {'dbId': 48887, 'taxId': '9606', 'name': 'Homo...  False   \n",
       "4    {'dbId': 48887, 'taxId': '9606', 'name': 'Homo...   True   \n",
       "5    {'dbId': 48887, 'taxId': '9606', 'name': 'Homo...   True   \n",
       "6    {'dbId': 48887, 'taxId': '9606', 'name': 'Homo...   True   \n",
       "7    {'dbId': 48887, 'taxId': '9606', 'name': 'Homo...  False   \n",
       "8    {'dbId': 48887, 'taxId': '9606', 'name': 'Homo...   True   \n",
       "9    {'dbId': 48887, 'taxId': '9606', 'name': 'Homo...   True   \n",
       "10   {'dbId': 48887, 'taxId': '9606', 'name': 'Homo...  False   \n",
       "11   {'dbId': 48887, 'taxId': '9606', 'name': 'Homo...   True   \n",
       "12   {'dbId': 48887, 'taxId': '9606', 'name': 'Homo...  False   \n",
       "13   {'dbId': 48887, 'taxId': '9606', 'name': 'Homo...   True   \n",
       "14   {'dbId': 48887, 'taxId': '9606', 'name': 'Homo...  False   \n",
       "15   {'dbId': 48887, 'taxId': '9606', 'name': 'Homo...  False   \n",
       "16   {'dbId': 48887, 'taxId': '9606', 'name': 'Homo...   True   \n",
       "17   {'dbId': 48887, 'taxId': '9606', 'name': 'Homo...   True   \n",
       "18   {'dbId': 48887, 'taxId': '9606', 'name': 'Homo...   True   \n",
       "19   {'dbId': 48887, 'taxId': '9606', 'name': 'Homo...   True   \n",
       "20   {'dbId': 48887, 'taxId': '9606', 'name': 'Homo...  False   \n",
       "21   {'dbId': 48887, 'taxId': '9606', 'name': 'Homo...  False   \n",
       "22   {'dbId': 48887, 'taxId': '9606', 'name': 'Homo...   True   \n",
       "23   {'dbId': 48887, 'taxId': '9606', 'name': 'Homo...  False   \n",
       "24   {'dbId': 48887, 'taxId': '9606', 'name': 'Homo...  False   \n",
       "25   {'dbId': 48887, 'taxId': '9606', 'name': 'Homo...   True   \n",
       "26   {'dbId': 48887, 'taxId': '9606', 'name': 'Homo...  False   \n",
       "27   {'dbId': 48887, 'taxId': '9606', 'name': 'Homo...   True   \n",
       "28   {'dbId': 48887, 'taxId': '9606', 'name': 'Homo...   True   \n",
       "29   {'dbId': 48887, 'taxId': '9606', 'name': 'Homo...  False   \n",
       "30   {'dbId': 48887, 'taxId': '9606', 'name': 'Homo...  False   \n",
       "31   {'dbId': 48887, 'taxId': '9606', 'name': 'Homo...  False   \n",
       "32   {'dbId': 48887, 'taxId': '9606', 'name': 'Homo...   True   \n",
       "33   {'dbId': 48887, 'taxId': '9606', 'name': 'Homo...   True   \n",
       "34   {'dbId': 48887, 'taxId': '9606', 'name': 'Homo...   True   \n",
       "35   {'dbId': 48887, 'taxId': '9606', 'name': 'Homo...   True   \n",
       "36   {'dbId': 48887, 'taxId': '9606', 'name': 'Homo...   True   \n",
       "37   {'dbId': 48887, 'taxId': '9606', 'name': 'Homo...  False   \n",
       "38   {'dbId': 48887, 'taxId': '9606', 'name': 'Homo...   True   \n",
       "39   {'dbId': 48887, 'taxId': '9606', 'name': 'Homo...   True   \n",
       "40   {'dbId': 48887, 'taxId': '9606', 'name': 'Homo...   True   \n",
       "41   {'dbId': 48887, 'taxId': '9606', 'name': 'Homo...   True   \n",
       "42   {'dbId': 48887, 'taxId': '9606', 'name': 'Homo...   True   \n",
       "43   {'dbId': 48887, 'taxId': '9606', 'name': 'Homo...  False   \n",
       "44   {'dbId': 48887, 'taxId': '9606', 'name': 'Homo...   True   \n",
       "45   {'dbId': 48887, 'taxId': '9606', 'name': 'Homo...   True   \n",
       "46   {'dbId': 48887, 'taxId': '9606', 'name': 'Homo...   True   \n",
       "47   {'dbId': 48887, 'taxId': '9606', 'name': 'Homo...  False   \n",
       "48   {'dbId': 48887, 'taxId': '9606', 'name': 'Homo...   True   \n",
       "49   {'dbId': 48887, 'taxId': '9606', 'name': 'Homo...   True   \n",
       "50   {'dbId': 48887, 'taxId': '9606', 'name': 'Homo...   True   \n",
       "51   {'dbId': 48887, 'taxId': '9606', 'name': 'Homo...   True   \n",
       "52   {'dbId': 48887, 'taxId': '9606', 'name': 'Homo...   True   \n",
       "53   {'dbId': 48887, 'taxId': '9606', 'name': 'Homo...  False   \n",
       "54   {'dbId': 48887, 'taxId': '9606', 'name': 'Homo...  False   \n",
       "55   {'dbId': 48887, 'taxId': '9606', 'name': 'Homo...   True   \n",
       "56   {'dbId': 48887, 'taxId': '9606', 'name': 'Homo...   True   \n",
       "57   {'dbId': 48887, 'taxId': '9606', 'name': 'Homo...   True   \n",
       "58   {'dbId': 48887, 'taxId': '9606', 'name': 'Homo...   True   \n",
       "59   {'dbId': 48887, 'taxId': '9606', 'name': 'Homo...   True   \n",
       "60   {'dbId': 48887, 'taxId': '9606', 'name': 'Homo...  False   \n",
       "61   {'dbId': 48887, 'taxId': '9606', 'name': 'Homo...   True   \n",
       "62   {'dbId': 48887, 'taxId': '9606', 'name': 'Homo...   True   \n",
       "63   {'dbId': 48887, 'taxId': '9606', 'name': 'Homo...   True   \n",
       "64   {'dbId': 48887, 'taxId': '9606', 'name': 'Homo...   True   \n",
       "65   {'dbId': 48887, 'taxId': '9606', 'name': 'Homo...   True   \n",
       "66   {'dbId': 48887, 'taxId': '9606', 'name': 'Homo...   True   \n",
       "67   {'dbId': 48887, 'taxId': '9606', 'name': 'Homo...   True   \n",
       "68   {'dbId': 48887, 'taxId': '9606', 'name': 'Homo...   True   \n",
       "69   {'dbId': 48887, 'taxId': '9606', 'name': 'Homo...   True   \n",
       "70   {'dbId': 48887, 'taxId': '9606', 'name': 'Homo...  False   \n",
       "71   {'dbId': 48887, 'taxId': '9606', 'name': 'Homo...   True   \n",
       "72   {'dbId': 48887, 'taxId': '9606', 'name': 'Homo...   True   \n",
       "73   {'dbId': 48887, 'taxId': '9606', 'name': 'Homo...  False   \n",
       "74   {'dbId': 48887, 'taxId': '9606', 'name': 'Homo...  False   \n",
       "75   {'dbId': 48887, 'taxId': '9606', 'name': 'Homo...   True   \n",
       "76   {'dbId': 48887, 'taxId': '9606', 'name': 'Homo...  False   \n",
       "77   {'dbId': 48887, 'taxId': '9606', 'name': 'Homo...   True   \n",
       "78   {'dbId': 48887, 'taxId': '9606', 'name': 'Homo...   True   \n",
       "79   {'dbId': 48887, 'taxId': '9606', 'name': 'Homo...   True   \n",
       "80   {'dbId': 48887, 'taxId': '9606', 'name': 'Homo...  False   \n",
       "81   {'dbId': 48887, 'taxId': '9606', 'name': 'Homo...   True   \n",
       "82   {'dbId': 48887, 'taxId': '9606', 'name': 'Homo...   True   \n",
       "83   {'dbId': 48887, 'taxId': '9606', 'name': 'Homo...  False   \n",
       "84   {'dbId': 48887, 'taxId': '9606', 'name': 'Homo...   True   \n",
       "85   {'dbId': 48887, 'taxId': '9606', 'name': 'Homo...   True   \n",
       "86   {'dbId': 48887, 'taxId': '9606', 'name': 'Homo...   True   \n",
       "87   {'dbId': 48887, 'taxId': '9606', 'name': 'Homo...  False   \n",
       "88   {'dbId': 48887, 'taxId': '9606', 'name': 'Homo...   True   \n",
       "89   {'dbId': 48887, 'taxId': '9606', 'name': 'Homo...   True   \n",
       "90   {'dbId': 48887, 'taxId': '9606', 'name': 'Homo...   True   \n",
       "91   {'dbId': 48887, 'taxId': '9606', 'name': 'Homo...   True   \n",
       "92   {'dbId': 48887, 'taxId': '9606', 'name': 'Homo...   True   \n",
       "93   {'dbId': 48887, 'taxId': '9606', 'name': 'Homo...   True   \n",
       "94   {'dbId': 48887, 'taxId': '9606', 'name': 'Homo...  False   \n",
       "95   {'dbId': 48887, 'taxId': '9606', 'name': 'Homo...  False   \n",
       "96   {'dbId': 48887, 'taxId': '9606', 'name': 'Homo...  False   \n",
       "97   {'dbId': 48887, 'taxId': '9606', 'name': 'Homo...  False   \n",
       "98   {'dbId': 48887, 'taxId': '9606', 'name': 'Homo...   True   \n",
       "99   {'dbId': 48887, 'taxId': '9606', 'name': 'Homo...   True   \n",
       "100  {'dbId': 48887, 'taxId': '9606', 'name': 'Homo...   True   \n",
       "101  {'dbId': 48887, 'taxId': '9606', 'name': 'Homo...   True   \n",
       "102  {'dbId': 48887, 'taxId': '9606', 'name': 'Homo...   True   \n",
       "103  {'dbId': 48887, 'taxId': '9606', 'name': 'Homo...   True   \n",
       "104  {'dbId': 48887, 'taxId': '9606', 'name': 'Homo...  False   \n",
       "105  {'dbId': 48887, 'taxId': '9606', 'name': 'Homo...   True   \n",
       "106  {'dbId': 48887, 'taxId': '9606', 'name': 'Homo...   True   \n",
       "107  {'dbId': 48887, 'taxId': '9606', 'name': 'Homo...   True   \n",
       "108  {'dbId': 48887, 'taxId': '9606', 'name': 'Homo...   True   \n",
       "109  {'dbId': 48887, 'taxId': '9606', 'name': 'Homo...   True   \n",
       "110  {'dbId': 48887, 'taxId': '9606', 'name': 'Homo...   True   \n",
       "111  {'dbId': 48887, 'taxId': '9606', 'name': 'Homo...   True   \n",
       "112  {'dbId': 48887, 'taxId': '9606', 'name': 'Homo...   True   \n",
       "113  {'dbId': 48887, 'taxId': '9606', 'name': 'Homo...   True   \n",
       "114  {'dbId': 48887, 'taxId': '9606', 'name': 'Homo...   True   \n",
       "115  {'dbId': 48887, 'taxId': '9606', 'name': 'Homo...   True   \n",
       "116  {'dbId': 48887, 'taxId': '9606', 'name': 'Homo...   True   \n",
       "117  {'dbId': 48887, 'taxId': '9606', 'name': 'Homo...   True   \n",
       "118  {'dbId': 48887, 'taxId': '9606', 'name': 'Homo...   True   \n",
       "119  {'dbId': 48887, 'taxId': '9606', 'name': 'Homo...   True   \n",
       "120  {'dbId': 48887, 'taxId': '9606', 'name': 'Homo...   True   \n",
       "121  {'dbId': 48887, 'taxId': '9606', 'name': 'Homo...   True   \n",
       "122  {'dbId': 48887, 'taxId': '9606', 'name': 'Homo...   True   \n",
       "123  {'dbId': 48887, 'taxId': '9606', 'name': 'Homo...   True   \n",
       "124  {'dbId': 48887, 'taxId': '9606', 'name': 'Homo...   True   \n",
       "125  {'dbId': 48887, 'taxId': '9606', 'name': 'Homo...   True   \n",
       "126  {'dbId': 48887, 'taxId': '9606', 'name': 'Homo...   True   \n",
       "127  {'dbId': 48887, 'taxId': '9606', 'name': 'Homo...   True   \n",
       "128  {'dbId': 48887, 'taxId': '9606', 'name': 'Homo...   True   \n",
       "129  {'dbId': 48887, 'taxId': '9606', 'name': 'Homo...  False   \n",
       "130  {'dbId': 48887, 'taxId': '9606', 'name': 'Homo...   True   \n",
       "131  {'dbId': 48887, 'taxId': '9606', 'name': 'Homo...   True   \n",
       "132  {'dbId': 48887, 'taxId': '9606', 'name': 'Homo...   True   \n",
       "133  {'dbId': 48887, 'taxId': '9606', 'name': 'Homo...   True   \n",
       "134  {'dbId': 48887, 'taxId': '9606', 'name': 'Homo...   True   \n",
       "135  {'dbId': 48887, 'taxId': '9606', 'name': 'Homo...   True   \n",
       "136  {'dbId': 48887, 'taxId': '9606', 'name': 'Homo...   True   \n",
       "137  {'dbId': 48887, 'taxId': '9606', 'name': 'Homo...   True   \n",
       "138  {'dbId': 48887, 'taxId': '9606', 'name': 'Homo...   True   \n",
       "139  {'dbId': 48887, 'taxId': '9606', 'name': 'Homo...  False   \n",
       "140  {'dbId': 48887, 'taxId': '9606', 'name': 'Homo...   True   \n",
       "141  {'dbId': 48887, 'taxId': '9606', 'name': 'Homo...   True   \n",
       "142  {'dbId': 48887, 'taxId': '9606', 'name': 'Homo...  False   \n",
       "143  {'dbId': 48887, 'taxId': '9606', 'name': 'Homo...   True   \n",
       "144  {'dbId': 48887, 'taxId': '9606', 'name': 'Homo...   True   \n",
       "145  {'dbId': 48887, 'taxId': '9606', 'name': 'Homo...  False   \n",
       "146  {'dbId': 48887, 'taxId': '9606', 'name': 'Homo...   True   \n",
       "147  {'dbId': 48887, 'taxId': '9606', 'name': 'Homo...  False   \n",
       "148  {'dbId': 48887, 'taxId': '9606', 'name': 'Homo...   True   \n",
       "149  {'dbId': 48887, 'taxId': '9606', 'name': 'Homo...  False   \n",
       "150  {'dbId': 48887, 'taxId': '9606', 'name': 'Homo...   True   \n",
       "151  {'dbId': 48887, 'taxId': '9606', 'name': 'Homo...  False   \n",
       "152  {'dbId': 48887, 'taxId': '9606', 'name': 'Homo...  False   \n",
       "153  {'dbId': 48887, 'taxId': '9606', 'name': 'Homo...  False   \n",
       "154  {'dbId': 48887, 'taxId': '9606', 'name': 'Homo...   True   \n",
       "155  {'dbId': 48887, 'taxId': '9606', 'name': 'Homo...   True   \n",
       "156  {'dbId': 48887, 'taxId': '9606', 'name': 'Homo...   True   \n",
       "157  {'dbId': 48887, 'taxId': '9606', 'name': 'Homo...  False   \n",
       "158  {'dbId': 48887, 'taxId': '9606', 'name': 'Homo...  False   \n",
       "159  {'dbId': 48887, 'taxId': '9606', 'name': 'Homo...   True   \n",
       "160  {'dbId': 48887, 'taxId': '9606', 'name': 'Homo...   True   \n",
       "161  {'dbId': 48887, 'taxId': '9606', 'name': 'Homo...   True   \n",
       "162  {'dbId': 48887, 'taxId': '9606', 'name': 'Homo...   True   \n",
       "163  {'dbId': 48887, 'taxId': '9606', 'name': 'Homo...   True   \n",
       "164  {'dbId': 48887, 'taxId': '9606', 'name': 'Homo...   True   \n",
       "165  {'dbId': 48887, 'taxId': '9606', 'name': 'Homo...  False   \n",
       "166  {'dbId': 48887, 'taxId': '9606', 'name': 'Homo...   True   \n",
       "167  {'dbId': 48887, 'taxId': '9606', 'name': 'Homo...   True   \n",
       "168  {'dbId': 48887, 'taxId': '9606', 'name': 'Homo...   True   \n",
       "169  {'dbId': 48887, 'taxId': '9606', 'name': 'Homo...  False   \n",
       "170  {'dbId': 48887, 'taxId': '9606', 'name': 'Homo...   True   \n",
       "171  {'dbId': 48887, 'taxId': '9606', 'name': 'Homo...   True   \n",
       "172  {'dbId': 48887, 'taxId': '9606', 'name': 'Homo...  False   \n",
       "173  {'dbId': 48887, 'taxId': '9606', 'name': 'Homo...   True   \n",
       "174  {'dbId': 48887, 'taxId': '9606', 'name': 'Homo...   True   \n",
       "175  {'dbId': 48887, 'taxId': '9606', 'name': 'Homo...   True   \n",
       "176  {'dbId': 48887, 'taxId': '9606', 'name': 'Homo...  False   \n",
       "177  {'dbId': 48887, 'taxId': '9606', 'name': 'Homo...   True   \n",
       "178  {'dbId': 48887, 'taxId': '9606', 'name': 'Homo...   True   \n",
       "179  {'dbId': 48887, 'taxId': '9606', 'name': 'Homo...   True   \n",
       "180  {'dbId': 48887, 'taxId': '9606', 'name': 'Homo...   True   \n",
       "181  {'dbId': 48887, 'taxId': '9606', 'name': 'Homo...  False   \n",
       "182  {'dbId': 48887, 'taxId': '9606', 'name': 'Homo...  False   \n",
       "183  {'dbId': 48887, 'taxId': '9606', 'name': 'Homo...   True   \n",
       "184  {'dbId': 48887, 'taxId': '9606', 'name': 'Homo...  False   \n",
       "185  {'dbId': 48887, 'taxId': '9606', 'name': 'Homo...   True   \n",
       "186  {'dbId': 48887, 'taxId': '9606', 'name': 'Homo...   True   \n",
       "187  {'dbId': 48887, 'taxId': '9606', 'name': 'Homo...  False   \n",
       "188  {'dbId': 48887, 'taxId': '9606', 'name': 'Homo...   True   \n",
       "189  {'dbId': 48887, 'taxId': '9606', 'name': 'Homo...   True   \n",
       "190  {'dbId': 48887, 'taxId': '9606', 'name': 'Homo...   True   \n",
       "191  {'dbId': 48887, 'taxId': '9606', 'name': 'Homo...  False   \n",
       "192  {'dbId': 48887, 'taxId': '9606', 'name': 'Homo...   True   \n",
       "193  {'dbId': 48887, 'taxId': '9606', 'name': 'Homo...   True   \n",
       "194  {'dbId': 48887, 'taxId': '9606', 'name': 'Homo...  False   \n",
       "195  {'dbId': 48887, 'taxId': '9606', 'name': 'Homo...  False   \n",
       "196  {'dbId': 48887, 'taxId': '9606', 'name': 'Homo...   True   \n",
       "197  {'dbId': 48887, 'taxId': '9606', 'name': 'Homo...   True   \n",
       "198  {'dbId': 48887, 'taxId': '9606', 'name': 'Homo...   True   \n",
       "199  {'dbId': 48887, 'taxId': '9606', 'name': 'Homo...   True   \n",
       "200  {'dbId': 48887, 'taxId': '9606', 'name': 'Homo...   True   \n",
       "201  {'dbId': 48887, 'taxId': '9606', 'name': 'Homo...  False   \n",
       "202  {'dbId': 48887, 'taxId': '9606', 'name': 'Homo...   True   \n",
       "203  {'dbId': 48887, 'taxId': '9606', 'name': 'Homo...   True   \n",
       "204  {'dbId': 48887, 'taxId': '9606', 'name': 'Homo...   True   \n",
       "205  {'dbId': 48887, 'taxId': '9606', 'name': 'Homo...  False   \n",
       "206  {'dbId': 48887, 'taxId': '9606', 'name': 'Homo...  False   \n",
       "207  {'dbId': 48887, 'taxId': '9606', 'name': 'Homo...   True   \n",
       "208  {'dbId': 48887, 'taxId': '9606', 'name': 'Homo...   True   \n",
       "209  {'dbId': 48887, 'taxId': '9606', 'name': 'Homo...   True   \n",
       "210  {'dbId': 48887, 'taxId': '9606', 'name': 'Homo...  False   \n",
       "211  {'dbId': 48887, 'taxId': '9606', 'name': 'Homo...  False   \n",
       "212  {'dbId': 48887, 'taxId': '9606', 'name': 'Homo...   True   \n",
       "213  {'dbId': 48887, 'taxId': '9606', 'name': 'Homo...  False   \n",
       "214  {'dbId': 48887, 'taxId': '9606', 'name': 'Homo...  False   \n",
       "215  {'dbId': 48887, 'taxId': '9606', 'name': 'Homo...   True   \n",
       "216  {'dbId': 48887, 'taxId': '9606', 'name': 'Homo...   True   \n",
       "217  {'dbId': 48887, 'taxId': '9606', 'name': 'Homo...  False   \n",
       "218  {'dbId': 48887, 'taxId': '9606', 'name': 'Homo...   True   \n",
       "219  {'dbId': 48887, 'taxId': '9606', 'name': 'Homo...   True   \n",
       "220  {'dbId': 48887, 'taxId': '9606', 'name': 'Homo...  False   \n",
       "221  {'dbId': 48887, 'taxId': '9606', 'name': 'Homo...  False   \n",
       "222  {'dbId': 48887, 'taxId': '9606', 'name': 'Homo...  False   \n",
       "223  {'dbId': 48887, 'taxId': '9606', 'name': 'Homo...  False   \n",
       "224  {'dbId': 48887, 'taxId': '9606', 'name': 'Homo...   True   \n",
       "225  {'dbId': 48887, 'taxId': '9606', 'name': 'Homo...   True   \n",
       "226  {'dbId': 48887, 'taxId': '9606', 'name': 'Homo...  False   \n",
       "227  {'dbId': 48887, 'taxId': '9606', 'name': 'Homo...  False   \n",
       "228  {'dbId': 48887, 'taxId': '9606', 'name': 'Homo...  False   \n",
       "229  {'dbId': 48887, 'taxId': '9606', 'name': 'Homo...   True   \n",
       "230  {'dbId': 48887, 'taxId': '9606', 'name': 'Homo...   True   \n",
       "231  {'dbId': 48887, 'taxId': '9606', 'name': 'Homo...  False   \n",
       "232  {'dbId': 48887, 'taxId': '9606', 'name': 'Homo...   True   \n",
       "233  {'dbId': 48887, 'taxId': '9606', 'name': 'Homo...   True   \n",
       "234  {'dbId': 48887, 'taxId': '9606', 'name': 'Homo...   True   \n",
       "235  {'dbId': 48887, 'taxId': '9606', 'name': 'Homo...  False   \n",
       "236  {'dbId': 48887, 'taxId': '9606', 'name': 'Homo...   True   \n",
       "237  {'dbId': 48887, 'taxId': '9606', 'name': 'Homo...  False   \n",
       "238  {'dbId': 48887, 'taxId': '9606', 'name': 'Homo...  False   \n",
       "239  {'dbId': 48887, 'taxId': '9606', 'name': 'Homo...  False   \n",
       "240  {'dbId': 48887, 'taxId': '9606', 'name': 'Homo...  False   \n",
       "241  {'dbId': 48887, 'taxId': '9606', 'name': 'Homo...  False   \n",
       "242  {'dbId': 48887, 'taxId': '9606', 'name': 'Homo...  False   \n",
       "243  {'dbId': 48887, 'taxId': '9606', 'name': 'Homo...  False   \n",
       "244  {'dbId': 48887, 'taxId': '9606', 'name': 'Homo...   True   \n",
       "245  {'dbId': 48887, 'taxId': '9606', 'name': 'Homo...   True   \n",
       "246  {'dbId': 48887, 'taxId': '9606', 'name': 'Homo...  False   \n",
       "247  {'dbId': 48887, 'taxId': '9606', 'name': 'Homo...  False   \n",
       "248  {'dbId': 48887, 'taxId': '9606', 'name': 'Homo...   True   \n",
       "249  {'dbId': 48887, 'taxId': '9606', 'name': 'Homo...   True   \n",
       "250  {'dbId': 48887, 'taxId': '9606', 'name': 'Homo...  False   \n",
       "251  {'dbId': 48887, 'taxId': '9606', 'name': 'Homo...   True   \n",
       "252  {'dbId': 48887, 'taxId': '9606', 'name': 'Homo...  False   \n",
       "253  {'dbId': 48887, 'taxId': '9606', 'name': 'Homo...   True   \n",
       "254  {'dbId': 48887, 'taxId': '9606', 'name': 'Homo...  False   \n",
       "255  {'dbId': 48887, 'taxId': '9606', 'name': 'Homo...   True   \n",
       "256  {'dbId': 48887, 'taxId': '9606', 'name': 'Homo...   True   \n",
       "257  {'dbId': 48887, 'taxId': '9606', 'name': 'Homo...   True   \n",
       "258  {'dbId': 48887, 'taxId': '9606', 'name': 'Homo...  False   \n",
       "259  {'dbId': 48887, 'taxId': '9606', 'name': 'Homo...   True   \n",
       "260  {'dbId': 48887, 'taxId': '9606', 'name': 'Homo...   True   \n",
       "261  {'dbId': 48887, 'taxId': '9606', 'name': 'Homo...  False   \n",
       "262  {'dbId': 48887, 'taxId': '9606', 'name': 'Homo...  False   \n",
       "263  {'dbId': 48887, 'taxId': '9606', 'name': 'Homo...  False   \n",
       "264  {'dbId': 48887, 'taxId': '9606', 'name': 'Homo...  False   \n",
       "265  {'dbId': 48887, 'taxId': '9606', 'name': 'Homo...   True   \n",
       "266  {'dbId': 48887, 'taxId': '9606', 'name': 'Homo...   True   \n",
       "267  {'dbId': 48887, 'taxId': '9606', 'name': 'Homo...   True   \n",
       "268  {'dbId': 48887, 'taxId': '9606', 'name': 'Homo...   True   \n",
       "269  {'dbId': 48887, 'taxId': '9606', 'name': 'Homo...  False   \n",
       "270  {'dbId': 48887, 'taxId': '9606', 'name': 'Homo...   True   \n",
       "271  {'dbId': 48887, 'taxId': '9606', 'name': 'Homo...   True   \n",
       "272  {'dbId': 48887, 'taxId': '9606', 'name': 'Homo...   True   \n",
       "273  {'dbId': 48887, 'taxId': '9606', 'name': 'Homo...  False   \n",
       "274  {'dbId': 48887, 'taxId': '9606', 'name': 'Homo...  False   \n",
       "275  {'dbId': 48887, 'taxId': '9606', 'name': 'Homo...   True   \n",
       "276  {'dbId': 48887, 'taxId': '9606', 'name': 'Homo...  False   \n",
       "277  {'dbId': 48887, 'taxId': '9606', 'name': 'Homo...  False   \n",
       "278  {'dbId': 48887, 'taxId': '9606', 'name': 'Homo...  False   \n",
       "279  {'dbId': 48887, 'taxId': '9606', 'name': 'Homo...  False   \n",
       "280  {'dbId': 48887, 'taxId': '9606', 'name': 'Homo...   True   \n",
       "281  {'dbId': 48887, 'taxId': '9606', 'name': 'Homo...   True   \n",
       "282  {'dbId': 48887, 'taxId': '9606', 'name': 'Homo...  False   \n",
       "283  {'dbId': 48887, 'taxId': '9606', 'name': 'Homo...   True   \n",
       "284  {'dbId': 48887, 'taxId': '9606', 'name': 'Homo...  False   \n",
       "285  {'dbId': 48887, 'taxId': '9606', 'name': 'Homo...  False   \n",
       "286  {'dbId': 48887, 'taxId': '9606', 'name': 'Homo...  False   \n",
       "287  {'dbId': 48887, 'taxId': '9606', 'name': 'Homo...  False   \n",
       "288  {'dbId': 48887, 'taxId': '9606', 'name': 'Homo...  False   \n",
       "289  {'dbId': 48887, 'taxId': '9606', 'name': 'Homo...   True   \n",
       "290  {'dbId': 48887, 'taxId': '9606', 'name': 'Homo...  False   \n",
       "291  {'dbId': 48887, 'taxId': '9606', 'name': 'Homo...  False   \n",
       "292  {'dbId': 48887, 'taxId': '9606', 'name': 'Homo...  False   \n",
       "293  {'dbId': 48887, 'taxId': '9606', 'name': 'Homo...  False   \n",
       "294  {'dbId': 48887, 'taxId': '9606', 'name': 'Homo...  False   \n",
       "295  {'dbId': 48887, 'taxId': '9606', 'name': 'Homo...  False   \n",
       "296  {'dbId': 48887, 'taxId': '9606', 'name': 'Homo...  False   \n",
       "297  {'dbId': 48887, 'taxId': '9606', 'name': 'Homo...  False   \n",
       "298  {'dbId': 48887, 'taxId': '9606', 'name': 'Homo...  False   \n",
       "299  {'dbId': 48887, 'taxId': '9606', 'name': 'Homo...  False   \n",
       "300  {'dbId': 48887, 'taxId': '9606', 'name': 'Homo...  False   \n",
       "301  {'dbId': 48887, 'taxId': '9606', 'name': 'Homo...  False   \n",
       "302  {'dbId': 48887, 'taxId': '9606', 'name': 'Homo...  False   \n",
       "303  {'dbId': 48887, 'taxId': '9606', 'name': 'Homo...  False   \n",
       "\n",
       "                                              entities  \\\n",
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       "\n",
       "                                             reactions  inDisease  \n",
       "0    {'resource': 'TOTAL', 'total': 116, 'found': 2...      False  \n",
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       "2    {'resource': 'TOTAL', 'total': 14, 'found': 3,...      False  \n",
       "3    {'resource': 'TOTAL', 'total': 334, 'found': 4...      False  \n",
       "4    {'resource': 'TOTAL', 'total': 11, 'found': 7,...      False  \n",
       "5    {'resource': 'TOTAL', 'total': 33, 'found': 22...      False  \n",
       "6    {'resource': 'TOTAL', 'total': 74, 'found': 32...      False  \n",
       "7    {'resource': 'TOTAL', 'total': 61, 'found': 5,...      False  \n",
       "8    {'resource': 'TOTAL', 'total': 19, 'found': 3,...      False  \n",
       "9    {'resource': 'TOTAL', 'total': 3, 'found': 2, ...      False  \n",
       "10   {'resource': 'TOTAL', 'total': 7, 'found': 4, ...      False  \n",
       "11   {'resource': 'TOTAL', 'total': 20, 'found': 9,...      False  \n",
       "12   {'resource': 'TOTAL', 'total': 113, 'found': 2...      False  \n",
       "13   {'resource': 'TOTAL', 'total': 33, 'found': 3,...      False  \n",
       "14   {'resource': 'TOTAL', 'total': 168, 'found': 6...      False  \n",
       "15   {'resource': 'TOTAL', 'total': 42, 'found': 15...      False  \n",
       "16   {'resource': 'TOTAL', 'total': 56, 'found': 4,...      False  \n",
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       "18   {'resource': 'TOTAL', 'total': 15, 'found': 4,...      False  \n",
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       "20   {'resource': 'TOTAL', 'total': 354, 'found': 6...      False  \n",
       "21   {'resource': 'TOTAL', 'total': 2445, 'found': ...      False  \n",
       "22   {'resource': 'TOTAL', 'total': 111, 'found': 1...      False  \n",
       "23   {'resource': 'TOTAL', 'total': 132, 'found': 2...      False  \n",
       "24   {'resource': 'TOTAL', 'total': 6, 'found': 3, ...      False  \n",
       "25   {'resource': 'TOTAL', 'total': 2, 'found': 1, ...      False  \n",
       "26   {'resource': 'TOTAL', 'total': 24, 'found': 3,...      False  \n",
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       "29   {'resource': 'TOTAL', 'total': 34, 'found': 21...      False  \n",
       "30   {'resource': 'TOTAL', 'total': 203, 'found': 3...      False  \n",
       "31   {'resource': 'TOTAL', 'total': 212, 'found': 3...      False  \n",
       "32   {'resource': 'TOTAL', 'total': 4, 'found': 4, ...      False  \n",
       "33   {'resource': 'TOTAL', 'total': 4, 'found': 3, ...      False  \n",
       "34   {'resource': 'TOTAL', 'total': 11, 'found': 8,...      False  \n",
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       "42   {'resource': 'TOTAL', 'total': 34, 'found': 3,...      False  \n",
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       "49   {'resource': 'TOTAL', 'total': 27, 'found': 11...      False  \n",
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       "95   {'resource': 'TOTAL', 'total': 40, 'found': 1,...      False  \n",
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       "97   {'resource': 'TOTAL', 'total': 163, 'found': 3...      False  \n",
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       "102  {'resource': 'TOTAL', 'total': 2, 'found': 2, ...      False  \n",
       "103  {'resource': 'TOTAL', 'total': 2, 'found': 2, ...      False  \n",
       "104  {'resource': 'TOTAL', 'total': 3, 'found': 3, ...      False  \n",
       "105  {'resource': 'TOTAL', 'total': 3, 'found': 3, ...      False  \n",
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       "122  {'resource': 'TOTAL', 'total': 6, 'found': 2, ...      False  \n",
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       "124  {'resource': 'TOTAL', 'total': 7, 'found': 2, ...      False  \n",
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       "126  {'resource': 'TOTAL', 'total': 4, 'found': 1, ...      False  \n",
       "127  {'resource': 'TOTAL', 'total': 4, 'found': 1, ...      False  \n",
       "128  {'resource': 'TOTAL', 'total': 4, 'found': 1, ...      False  \n",
       "129  {'resource': 'TOTAL', 'total': 51, 'found': 11...      False  \n",
       "130  {'resource': 'TOTAL', 'total': 66, 'found': 14...      False  \n",
       "131  {'resource': 'TOTAL', 'total': 15, 'found': 3,...      False  \n",
       "132  {'resource': 'TOTAL', 'total': 5, 'found': 1, ...      False  \n",
       "133  {'resource': 'TOTAL', 'total': 6, 'found': 1, ...      False  \n",
       "134  {'resource': 'TOTAL', 'total': 24, 'found': 4,...      False  \n",
       "135  {'resource': 'TOTAL', 'total': 12, 'found': 2,...      False  \n",
       "136  {'resource': 'TOTAL', 'total': 7, 'found': 1, ...      False  \n",
       "137  {'resource': 'TOTAL', 'total': 7, 'found': 1, ...      False  \n",
       "138  {'resource': 'TOTAL', 'total': 16, 'found': 2,...      False  \n",
       "139  {'resource': 'TOTAL', 'total': 8, 'found': 1, ...      False  \n",
       "140  {'resource': 'TOTAL', 'total': 8, 'found': 1, ...      False  \n",
       "141  {'resource': 'TOTAL', 'total': 9, 'found': 1, ...      False  \n",
       "142  {'resource': 'TOTAL', 'total': 9, 'found': 1, ...      False  \n",
       "143  {'resource': 'TOTAL', 'total': 10, 'found': 1,...      False  \n",
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       "145  {'resource': 'TOTAL', 'total': 90, 'found': 8,...      False  \n",
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       "148  {'resource': 'TOTAL', 'total': 43, 'found': 3,...      False  \n",
       "149  {'resource': 'TOTAL', 'total': 186, 'found': 4...      False  \n",
       "150  {'resource': 'TOTAL', 'total': 159, 'found': 3...      False  \n",
       "151  {'resource': 'TOTAL', 'total': 744, 'found': 1...      False  \n",
       "152  {'resource': 'TOTAL', 'total': 71, 'found': 3,...      False  \n",
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       "156  {'resource': 'TOTAL', 'total': 71, 'found': 2,...      False  \n",
       "157  {'resource': 'TOTAL', 'total': 7, 'found': 3, ...      False  \n",
       "158  {'resource': 'TOTAL', 'total': 15, 'found': 12...      False  \n",
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       "160  {'resource': 'TOTAL', 'total': 7, 'found': 2, ...      False  \n",
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       "228  {'resource': 'TOTAL', 'total': 412, 'found': 1...      False  \n",
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       "236  {'resource': 'TOTAL', 'total': 32, 'found': 1,...      False  \n",
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       "242  {'resource': 'TOTAL', 'total': 332, 'found': 7...      False  \n",
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       "246  {'resource': 'TOTAL', 'total': 122, 'found': 1...      False  \n",
       "247  {'resource': 'TOTAL', 'total': 1000, 'found': ...      False  \n",
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       "255  {'resource': 'TOTAL', 'total': 45, 'found': 4,...      False  \n",
       "256  {'resource': 'TOTAL', 'total': 824, 'found': 2...      False  \n",
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       "269  {'resource': 'TOTAL', 'total': 885, 'found': 2...      False  \n",
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       "273  {'resource': 'TOTAL', 'total': 33, 'found': 2,...      False  \n",
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       "279  {'resource': 'TOTAL', 'total': 68, 'found': 4,...      False  \n",
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       "281  {'resource': 'TOTAL', 'total': 45, 'found': 2,...      False  \n",
       "282  {'resource': 'TOTAL', 'total': 350, 'found': 8...      False  \n",
       "283  {'resource': 'TOTAL', 'total': 65, 'found': 4,...      False  \n",
       "284  {'resource': 'TOTAL', 'total': 493, 'found': 1...      False  \n",
       "285  {'resource': 'TOTAL', 'total': 219, 'found': 1...      False  \n",
       "286  {'resource': 'TOTAL', 'total': 107, 'found': 5...      False  \n",
       "287  {'resource': 'TOTAL', 'total': 526, 'found': 8...      False  \n",
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       "289  {'resource': 'TOTAL', 'total': 319, 'found': 1...      False  \n",
       "290  {'resource': 'TOTAL', 'total': 86, 'found': 1,...      False  \n",
       "291  {'resource': 'TOTAL', 'total': 1623, 'found': ...      False  \n",
       "292  {'resource': 'TOTAL', 'total': 114, 'found': 1...      False  \n",
       "293  {'resource': 'TOTAL', 'total': 206, 'found': 2...      False  \n",
       "294  {'resource': 'TOTAL', 'total': 191, 'found': 1...      False  \n",
       "295  {'resource': 'TOTAL', 'total': 217, 'found': 4...      False  \n",
       "296  {'resource': 'TOTAL', 'total': 442, 'found': 6...      False  \n",
       "297  {'resource': 'TOTAL', 'total': 243, 'found': 3...      False  \n",
       "298  {'resource': 'TOTAL', 'total': 708, 'found': 1...      False  \n",
       "299  {'resource': 'TOTAL', 'total': 285, 'found': 3...      False  \n",
       "300  {'resource': 'TOTAL', 'total': 187, 'found': 1...      False  \n",
       "301  {'resource': 'TOTAL', 'total': 264, 'found': 3...      False  \n",
       "302  {'resource': 'TOTAL', 'total': 949, 'found': 4...      False  \n",
       "303  {'resource': 'TOTAL', 'total': 2250, 'found': ...      False  "
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pathways(adata, \"Megakaryocytes\")"
   ]
  }
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