{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {
    "kernel": "SoS"
   },
   "source": [
    "# Example of using Python and R in a single notebook"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "kernel": "SoS"
   },
   "source": [
    "## Using Multiple Kernels in one notebook"
   ]
  },
  {
   "attachments": {
    "image.png": {
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"
    }
   },
   "cell_type": "markdown",
   "metadata": {
    "kernel": "SoS"
   },
   "source": [
    "Multiple kernels can be used in a single a SoS notebook, with the SoS kernel being the super kernel that manages others. You can select kernel of a code cell using the language selection dropdown box at the top right corner or using SoS magics. Prompt areas of code cells belonging to different kernels are marked by different colors. You however might not be able to see the language dropdown box and colors as shown below if you are viewing the notebook with a viewer that does not recognize SoS kernel inormation.\n",
    "\n",
    "![image.png](attachment:image.png)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "kernel": "SoS"
   },
   "source": [
    "## An example of using Python and R in the same notebook"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "kernel": "SoS"
   },
   "source": [
    "In this example we are converting an MS Excel file to csv format using Python `pandas` module. We then use `R` to annotate the gene names and draw some plot. The annotated data will be sent back to Python and write in excel format."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "kernel": "SoS"
   },
   "source": [
    "Let us first have a look at the data in SoS using its `%preview` magic. This magic reads data from the excel file and previews it as a sortable and searchable table. The `-n` option tells the magic to display the result in the main notebook, not in the SoS side panel."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "kernel": "SoS",
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div class=\"sos_hint\">%preview DEG_list.xlsx</div>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<div class=\"sos_hint\">> DEG_list.xlsx (107.4 KiB):</div>"
      ],
      "text/plain": [
       "\n",
       "> DEG_list.xlsx (107.4 KiB):"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<div class=\"sos_hint\">Only the first 200 of the 1184 records are previewed. Use option --limit to set a new limit.</div><br>\n",
       "    <div class='dataframe_container' style=\"max-height:400px\">\n",
       "    <input type=\"text\" class='dataframe_input' id=\"search_1\" onkeyup=\"filterDataFrame('1')\" placeholder=\"Search for names..\">\n",
       "    <table border=\"1\" id=\"dataframe_1\" class=\"sos_dataframe dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th> &nbsp; <i class=\"fa fa-sort\" style=\"color:lightgray\" onclick=\"sortDataFrame('1', 0, 'numeric')\"></th>\n",
       "      <th>ensembl_gene_id &nbsp; <i class=\"fa fa-sort\" style=\"color:lightgray\" onclick=\"sortDataFrame('1', 1, 'alphabetic')\"></th>\n",
       "      <th>baseMean &nbsp; <i class=\"fa fa-sort\" style=\"color:lightgray\" onclick=\"sortDataFrame('1', 2, 'numeric')\"></th>\n",
       "      <th>log2FoldChange &nbsp; <i class=\"fa fa-sort\" style=\"color:lightgray\" onclick=\"sortDataFrame('1', 3, 'numeric')\"></th>\n",
       "      <th>stat &nbsp; <i class=\"fa fa-sort\" style=\"color:lightgray\" onclick=\"sortDataFrame('1', 4, 'numeric')\"></th>\n",
       "      <th>pvalue &nbsp; <i class=\"fa fa-sort\" style=\"color:lightgray\" onclick=\"sortDataFrame('1', 5, 'numeric')\"></th>\n",
       "      <th>padj &nbsp; <i class=\"fa fa-sort\" style=\"color:lightgray\" onclick=\"sortDataFrame('1', 6, 'numeric')\"></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>ENSMUSG00000042816</td>\n",
       "      <td>1686.121821</td>\n",
       "      <td>3.390100</td>\n",
       "      <td>-28.589868</td>\n",
       "      <td>8.979679e-180</td>\n",
       "      <td>7.696034e-176</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>ENSMUSG00000031635</td>\n",
       "      <td>358.401785</td>\n",
       "      <td>3.614133</td>\n",
       "      <td>-21.471980</td>\n",
       "      <td>2.846325e-102</td>\n",
       "      <td>8.131476e-99</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>ENSMUSG00000020838</td>\n",
       "      <td>551.448621</td>\n",
       "      <td>2.532469</td>\n",
       "      <td>-18.878942</td>\n",
       "      <td>1.699551e-79</td>\n",
       "      <td>2.913201e-76</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>ENSMUSG00000021765</td>\n",
       "      <td>597.716318</td>\n",
       "      <td>2.265537</td>\n",
       "      <td>-17.571072</td>\n",
       "      <td>4.103412e-69</td>\n",
       "      <td>5.024042e-66</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>ENSMUSG00000027907</td>\n",
       "      <td>3236.448003</td>\n",
       "      <td>1.306965</td>\n",
       "      <td>-15.152852</td>\n",
       "      <td>7.254873e-52</td>\n",
       "      <td>6.908654e-49</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>ENSMUSG00000026247</td>\n",
       "      <td>744.567819</td>\n",
       "      <td>1.999957</td>\n",
       "      <td>-14.202403</td>\n",
       "      <td>8.852428e-46</td>\n",
       "      <td>6.897249e-43</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>ENSMUSG00000030272</td>\n",
       "      <td>3322.013499</td>\n",
       "      <td>1.029098</td>\n",
       "      <td>-13.056674</td>\n",
       "      <td>5.821582e-39</td>\n",
       "      <td>3.837990e-36</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>ENSMUSG00000069793</td>\n",
       "      <td>317.952685</td>\n",
       "      <td>1.645894</td>\n",
       "      <td>-12.727226</td>\n",
       "      <td>4.174068e-37</td>\n",
       "      <td>2.384924e-34</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>ENSMUSG00000028494</td>\n",
       "      <td>4659.305199</td>\n",
       "      <td>1.051199</td>\n",
       "      <td>-12.102120</td>\n",
       "      <td>1.029183e-33</td>\n",
       "      <td>5.188595e-31</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>ENSMUSG00000059645</td>\n",
       "      <td>107.043454</td>\n",
       "      <td>1.777720</td>\n",
       "      <td>-11.629145</td>\n",
       "      <td>2.930187e-31</td>\n",
       "      <td>1.287855e-28</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>ENSMUSG00000026834</td>\n",
       "      <td>184.146231</td>\n",
       "      <td>1.576185</td>\n",
       "      <td>-10.924823</td>\n",
       "      <td>8.771122e-28</td>\n",
       "      <td>3.496414e-25</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>ENSMUSG00000069355</td>\n",
       "      <td>78.423674</td>\n",
       "      <td>1.896248</td>\n",
       "      <td>-10.639715</td>\n",
       "      <td>1.947240e-26</td>\n",
       "      <td>7.101625e-24</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>ENSMUSG00000024066</td>\n",
       "      <td>1207.689222</td>\n",
       "      <td>1.287185</td>\n",
       "      <td>-10.412868</td>\n",
       "      <td>2.165954e-25</td>\n",
       "      <td>7.279729e-23</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>ENSMUSG00000059173</td>\n",
       "      <td>2047.297734</td>\n",
       "      <td>1.290401</td>\n",
       "      <td>-10.363868</td>\n",
       "      <td>3.620191e-25</td>\n",
       "      <td>1.128249e-22</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>ENSMUSG00000044626</td>\n",
       "      <td>107.545685</td>\n",
       "      <td>1.479431</td>\n",
       "      <td>-9.920675</td>\n",
       "      <td>3.384591e-23</td>\n",
       "      <td>9.833097e-21</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>ENSMUSG00000029552</td>\n",
       "      <td>990.570372</td>\n",
       "      <td>0.942947</td>\n",
       "      <td>-9.652480</td>\n",
       "      <td>4.798095e-22</td>\n",
       "      <td>1.305463e-19</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>ENSMUSG00000000278</td>\n",
       "      <td>2246.095680</td>\n",
       "      <td>0.820046</td>\n",
       "      <td>-9.477766</td>\n",
       "      <td>2.597862e-21</td>\n",
       "      <td>6.646262e-19</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>ENSMUSG00000023067</td>\n",
       "      <td>3740.729262</td>\n",
       "      <td>0.935633</td>\n",
       "      <td>-9.180521</td>\n",
       "      <td>4.290090e-20</td>\n",
       "      <td>1.035725e-17</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>ENSMUSG00000021843</td>\n",
       "      <td>8362.210457</td>\n",
       "      <td>0.774680</td>\n",
       "      <td>-8.942443</td>\n",
       "      <td>3.806602e-19</td>\n",
       "      <td>8.699862e-17</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>ENSMUSG00000044258</td>\n",
       "      <td>622.236008</td>\n",
       "      <td>1.062715</td>\n",
       "      <td>-8.723723</td>\n",
       "      <td>2.692001e-18</td>\n",
       "      <td>5.840961e-16</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>ENSMUSG00000020205</td>\n",
       "      <td>1313.876243</td>\n",
       "      <td>1.029466</td>\n",
       "      <td>-8.587091</td>\n",
       "      <td>8.919931e-18</td>\n",
       "      <td>1.842127e-15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>ENSMUSG00000037280</td>\n",
       "      <td>336.544531</td>\n",
       "      <td>1.119365</td>\n",
       "      <td>-8.342550</td>\n",
       "      <td>7.270520e-17</td>\n",
       "      <td>1.432460e-14</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>ENSMUSG00000027556</td>\n",
       "      <td>365.075577</td>\n",
       "      <td>1.161261</td>\n",
       "      <td>-8.021451</td>\n",
       "      <td>1.045036e-15</td>\n",
       "      <td>1.968457e-13</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>ENSMUSG00000031799</td>\n",
       "      <td>7421.027362</td>\n",
       "      <td>0.624473</td>\n",
       "      <td>-7.913186</td>\n",
       "      <td>2.508835e-15</td>\n",
       "      <td>4.526730e-13</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>ENSMUSG00000036905</td>\n",
       "      <td>1706.843435</td>\n",
       "      <td>0.709253</td>\n",
       "      <td>-7.846027</td>\n",
       "      <td>4.294230e-15</td>\n",
       "      <td>7.435091e-13</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>ENSMUSG00000044667</td>\n",
       "      <td>545.471721</td>\n",
       "      <td>0.867126</td>\n",
       "      <td>-7.784684</td>\n",
       "      <td>6.988793e-15</td>\n",
       "      <td>1.163057e-12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>ENSMUSG00000021125</td>\n",
       "      <td>389.752252</td>\n",
       "      <td>0.884616</td>\n",
       "      <td>-7.713982</td>\n",
       "      <td>1.219520e-14</td>\n",
       "      <td>1.953626e-12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>ENSMUSG00000025351</td>\n",
       "      <td>5138.213127</td>\n",
       "      <td>0.601866</td>\n",
       "      <td>-7.593747</td>\n",
       "      <td>3.107838e-14</td>\n",
       "      <td>4.799230e-12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>ENSMUSG00000032666</td>\n",
       "      <td>5242.276743</td>\n",
       "      <td>0.592958</td>\n",
       "      <td>-7.454353</td>\n",
       "      <td>9.030998e-14</td>\n",
       "      <td>1.346090e-11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>ENSMUSG00000019866</td>\n",
       "      <td>554.456799</td>\n",
       "      <td>0.850782</td>\n",
       "      <td>-7.439136</td>\n",
       "      <td>1.013460e-13</td>\n",
       "      <td>1.459809e-11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>ENSMUSG00000025608</td>\n",
       "      <td>1575.642204</td>\n",
       "      <td>0.686405</td>\n",
       "      <td>-7.364919</td>\n",
       "      <td>1.772542e-13</td>\n",
       "      <td>2.470174e-11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31</th>\n",
       "      <td>ENSMUSG00000043336</td>\n",
       "      <td>572.398895</td>\n",
       "      <td>0.802930</td>\n",
       "      <td>-7.234809</td>\n",
       "      <td>4.661851e-13</td>\n",
       "      <td>6.292031e-11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32</th>\n",
       "      <td>ENSMUSG00000037940</td>\n",
       "      <td>265.079339</td>\n",
       "      <td>0.911853</td>\n",
       "      <td>-7.210731</td>\n",
       "      <td>5.565229e-13</td>\n",
       "      <td>7.312611e-11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>33</th>\n",
       "      <td>ENSMUSG00000039364</td>\n",
       "      <td>194.167058</td>\n",
       "      <td>0.998772</td>\n",
       "      <td>-6.998846</td>\n",
       "      <td>2.580798e-12</td>\n",
       "      <td>3.276849e-10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34</th>\n",
       "      <td>ENSMUSG00000056749</td>\n",
       "      <td>345.920854</td>\n",
       "      <td>0.914688</td>\n",
       "      <td>-6.969709</td>\n",
       "      <td>3.175962e-12</td>\n",
       "      <td>3.916486e-10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35</th>\n",
       "      <td>ENSMUSG00000032802</td>\n",
       "      <td>17749.447535</td>\n",
       "      <td>0.598266</td>\n",
       "      <td>-6.892196</td>\n",
       "      <td>5.493748e-12</td>\n",
       "      <td>6.585198e-10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36</th>\n",
       "      <td>ENSMUSG00000024672</td>\n",
       "      <td>211.819493</td>\n",
       "      <td>0.887656</td>\n",
       "      <td>-6.825385</td>\n",
       "      <td>8.769012e-12</td>\n",
       "      <td>1.022515e-09</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>37</th>\n",
       "      <td>ENSMUSG00000010086</td>\n",
       "      <td>4098.481132</td>\n",
       "      <td>-0.572777</td>\n",
       "      <td>6.720270</td>\n",
       "      <td>1.813879e-11</td>\n",
       "      <td>2.059053e-09</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38</th>\n",
       "      <td>ENSMUSG00000058665</td>\n",
       "      <td>29.247691</td>\n",
       "      <td>0.967621</td>\n",
       "      <td>-6.683662</td>\n",
       "      <td>2.330438e-11</td>\n",
       "      <td>2.577164e-09</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>39</th>\n",
       "      <td>ENSMUSG00000009596</td>\n",
       "      <td>58.610232</td>\n",
       "      <td>0.944848</td>\n",
       "      <td>-6.642619</td>\n",
       "      <td>3.081587e-11</td>\n",
       "      <td>3.301343e-09</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>40</th>\n",
       "      <td>ENSMUSG00000029306</td>\n",
       "      <td>515.056424</td>\n",
       "      <td>0.913920</td>\n",
       "      <td>-6.578546</td>\n",
       "      <td>4.750698e-11</td>\n",
       "      <td>4.965348e-09</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>41</th>\n",
       "      <td>ENSMUSG00000028525</td>\n",
       "      <td>1397.491979</td>\n",
       "      <td>0.579037</td>\n",
       "      <td>-6.531912</td>\n",
       "      <td>6.493551e-11</td>\n",
       "      <td>6.625354e-09</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>42</th>\n",
       "      <td>ENSMUSG00000044060</td>\n",
       "      <td>2919.794150</td>\n",
       "      <td>0.634026</td>\n",
       "      <td>-6.424378</td>\n",
       "      <td>1.324101e-10</td>\n",
       "      <td>1.319559e-08</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>43</th>\n",
       "      <td>ENSMUSG00000021871</td>\n",
       "      <td>1033.326078</td>\n",
       "      <td>0.621687</td>\n",
       "      <td>-6.372998</td>\n",
       "      <td>1.853679e-10</td>\n",
       "      <td>1.805336e-08</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>44</th>\n",
       "      <td>ENSMUSG00000026670</td>\n",
       "      <td>4392.649088</td>\n",
       "      <td>0.461576</td>\n",
       "      <td>-6.338069</td>\n",
       "      <td>2.326619e-10</td>\n",
       "      <td>2.215588e-08</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>45</th>\n",
       "      <td>ENSMUSG00000025723</td>\n",
       "      <td>3256.551545</td>\n",
       "      <td>-0.668514</td>\n",
       "      <td>6.308321</td>\n",
       "      <td>2.820793e-10</td>\n",
       "      <td>2.627783e-08</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>46</th>\n",
       "      <td>ENSMUSG00000058715</td>\n",
       "      <td>556.298426</td>\n",
       "      <td>0.735078</td>\n",
       "      <td>-6.194826</td>\n",
       "      <td>5.834941e-10</td>\n",
       "      <td>5.320039e-08</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>47</th>\n",
       "      <td>ENSMUSG00000000214</td>\n",
       "      <td>4138.211600</td>\n",
       "      <td>-0.610492</td>\n",
       "      <td>6.070828</td>\n",
       "      <td>1.272524e-09</td>\n",
       "      <td>1.136059e-07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>48</th>\n",
       "      <td>ENSMUSG00000021411</td>\n",
       "      <td>477.330006</td>\n",
       "      <td>0.732723</td>\n",
       "      <td>-6.026429</td>\n",
       "      <td>1.676222e-09</td>\n",
       "      <td>1.465924e-07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>49</th>\n",
       "      <td>ENSMUSG00000051209</td>\n",
       "      <td>145.343991</td>\n",
       "      <td>0.822896</td>\n",
       "      <td>-5.958867</td>\n",
       "      <td>2.539931e-09</td>\n",
       "      <td>2.176848e-07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50</th>\n",
       "      <td>ENSMUSG00000046223</td>\n",
       "      <td>471.768674</td>\n",
       "      <td>0.710971</td>\n",
       "      <td>-5.915084</td>\n",
       "      <td>3.317058e-09</td>\n",
       "      <td>2.787141e-07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>51</th>\n",
       "      <td>ENSMUSG00000021996</td>\n",
       "      <td>6915.461113</td>\n",
       "      <td>0.554238</td>\n",
       "      <td>-5.878588</td>\n",
       "      <td>4.137815e-09</td>\n",
       "      <td>3.394226e-07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>52</th>\n",
       "      <td>ENSMUSG00000022582</td>\n",
       "      <td>88.869956</td>\n",
       "      <td>0.845882</td>\n",
       "      <td>-5.836138</td>\n",
       "      <td>5.342459e-09</td>\n",
       "      <td>4.319579e-07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>53</th>\n",
       "      <td>ENSMUSG00000075225</td>\n",
       "      <td>187.970746</td>\n",
       "      <td>0.762592</td>\n",
       "      <td>-5.775902</td>\n",
       "      <td>7.654194e-09</td>\n",
       "      <td>6.046108e-07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>54</th>\n",
       "      <td>ENSMUSG00000039910</td>\n",
       "      <td>898.929113</td>\n",
       "      <td>0.706779</td>\n",
       "      <td>-5.760166</td>\n",
       "      <td>8.403126e-09</td>\n",
       "      <td>6.517556e-07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>55</th>\n",
       "      <td>ENSMUSG00000025348</td>\n",
       "      <td>8836.099402</td>\n",
       "      <td>0.687449</td>\n",
       "      <td>-5.706812</td>\n",
       "      <td>1.151120e-08</td>\n",
       "      <td>8.769487e-07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>56</th>\n",
       "      <td>ENSMUSG00000028145</td>\n",
       "      <td>2209.860304</td>\n",
       "      <td>0.477298</td>\n",
       "      <td>-5.685315</td>\n",
       "      <td>1.305714e-08</td>\n",
       "      <td>9.773471e-07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>57</th>\n",
       "      <td>ENSMUSG00000024743</td>\n",
       "      <td>12173.281232</td>\n",
       "      <td>-0.480565</td>\n",
       "      <td>5.650580</td>\n",
       "      <td>1.599070e-08</td>\n",
       "      <td>1.176380e-06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>58</th>\n",
       "      <td>ENSMUSG00000050315</td>\n",
       "      <td>661.302294</td>\n",
       "      <td>0.782864</td>\n",
       "      <td>-5.630019</td>\n",
       "      <td>1.801894e-08</td>\n",
       "      <td>1.303218e-06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>59</th>\n",
       "      <td>ENSMUSG00000021565</td>\n",
       "      <td>1407.135648</td>\n",
       "      <td>0.641439</td>\n",
       "      <td>-5.608616</td>\n",
       "      <td>2.039504e-08</td>\n",
       "      <td>1.450587e-06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>60</th>\n",
       "      <td>ENSMUSG00000053477</td>\n",
       "      <td>3221.484564</td>\n",
       "      <td>0.476041</td>\n",
       "      <td>-5.551818</td>\n",
       "      <td>2.827136e-08</td>\n",
       "      <td>1.977956e-06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>61</th>\n",
       "      <td>ENSMUSG00000007613</td>\n",
       "      <td>1878.831124</td>\n",
       "      <td>0.555008</td>\n",
       "      <td>-5.511270</td>\n",
       "      <td>3.562528e-08</td>\n",
       "      <td>2.452195e-06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>62</th>\n",
       "      <td>ENSMUSG00000003872</td>\n",
       "      <td>498.277117</td>\n",
       "      <td>-0.614792</td>\n",
       "      <td>5.487667</td>\n",
       "      <td>4.072760e-08</td>\n",
       "      <td>2.759335e-06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>63</th>\n",
       "      <td>ENSMUSG00000060002</td>\n",
       "      <td>3216.792835</td>\n",
       "      <td>0.613103</td>\n",
       "      <td>-5.473168</td>\n",
       "      <td>4.420617e-08</td>\n",
       "      <td>2.952715e-06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>64</th>\n",
       "      <td>ENSMUSG00000030399</td>\n",
       "      <td>1621.263042</td>\n",
       "      <td>0.200993</td>\n",
       "      <td>-5.436427</td>\n",
       "      <td>5.435973e-08</td>\n",
       "      <td>3.556413e-06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>65</th>\n",
       "      <td>ENSMUSG00000045954</td>\n",
       "      <td>1547.190653</td>\n",
       "      <td>0.602709</td>\n",
       "      <td>-5.420474</td>\n",
       "      <td>5.944109e-08</td>\n",
       "      <td>3.844829e-06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>66</th>\n",
       "      <td>ENSMUSG00000050730</td>\n",
       "      <td>1914.008502</td>\n",
       "      <td>0.490603</td>\n",
       "      <td>-5.411401</td>\n",
       "      <td>6.253366e-08</td>\n",
       "      <td>3.990567e-06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>67</th>\n",
       "      <td>ENSMUSG00000024621</td>\n",
       "      <td>2058.520289</td>\n",
       "      <td>0.561670</td>\n",
       "      <td>-5.392116</td>\n",
       "      <td>6.963283e-08</td>\n",
       "      <td>4.356118e-06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>68</th>\n",
       "      <td>ENSMUSG00000037348</td>\n",
       "      <td>2683.166398</td>\n",
       "      <td>-0.453835</td>\n",
       "      <td>5.374706</td>\n",
       "      <td>7.670781e-08</td>\n",
       "      <td>4.746746e-06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>69</th>\n",
       "      <td>ENSMUSG00000040552</td>\n",
       "      <td>416.790372</td>\n",
       "      <td>0.638669</td>\n",
       "      <td>-5.351247</td>\n",
       "      <td>8.735010e-08</td>\n",
       "      <td>5.328356e-06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>70</th>\n",
       "      <td>ENSMUSG00000020326</td>\n",
       "      <td>8930.360647</td>\n",
       "      <td>0.487337</td>\n",
       "      <td>-5.334489</td>\n",
       "      <td>9.581412e-08</td>\n",
       "      <td>5.762631e-06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>71</th>\n",
       "      <td>ENSMUSG00000038151</td>\n",
       "      <td>69.583461</td>\n",
       "      <td>0.782195</td>\n",
       "      <td>-5.311110</td>\n",
       "      <td>1.089594e-07</td>\n",
       "      <td>6.440249e-06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>72</th>\n",
       "      <td>ENSMUSG00000036062</td>\n",
       "      <td>74983.323382</td>\n",
       "      <td>-0.453463</td>\n",
       "      <td>5.290473</td>\n",
       "      <td>1.220002e-07</td>\n",
       "      <td>7.112942e-06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>73</th>\n",
       "      <td>ENSMUSG00000020732</td>\n",
       "      <td>2187.919687</td>\n",
       "      <td>-0.428484</td>\n",
       "      <td>5.278700</td>\n",
       "      <td>1.301033e-07</td>\n",
       "      <td>7.483561e-06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>74</th>\n",
       "      <td>ENSMUSG00000063889</td>\n",
       "      <td>640.069865</td>\n",
       "      <td>0.586185</td>\n",
       "      <td>-5.270856</td>\n",
       "      <td>1.357893e-07</td>\n",
       "      <td>7.715518e-06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75</th>\n",
       "      <td>ENSMUSG00000018845</td>\n",
       "      <td>111.480390</td>\n",
       "      <td>0.708201</td>\n",
       "      <td>-5.246122</td>\n",
       "      <td>1.553341e-07</td>\n",
       "      <td>8.701247e-06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>76</th>\n",
       "      <td>ENSMUSG00000020099</td>\n",
       "      <td>464.164167</td>\n",
       "      <td>-0.602612</td>\n",
       "      <td>5.210926</td>\n",
       "      <td>1.879007e-07</td>\n",
       "      <td>1.038969e-05</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>77</th>\n",
       "      <td>ENSMUSG00000025318</td>\n",
       "      <td>6202.137797</td>\n",
       "      <td>-0.541901</td>\n",
       "      <td>5.195926</td>\n",
       "      <td>2.037029e-07</td>\n",
       "      <td>1.111997e-05</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>78</th>\n",
       "      <td>ENSMUSG00000026778</td>\n",
       "      <td>5643.562480</td>\n",
       "      <td>-0.371148</td>\n",
       "      <td>5.163726</td>\n",
       "      <td>2.420823e-07</td>\n",
       "      <td>1.304885e-05</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>79</th>\n",
       "      <td>ENSMUSG00000026674</td>\n",
       "      <td>3577.461644</td>\n",
       "      <td>0.561261</td>\n",
       "      <td>-5.144960</td>\n",
       "      <td>2.675772e-07</td>\n",
       "      <td>1.424392e-05</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>80</th>\n",
       "      <td>ENSMUSG00000040990</td>\n",
       "      <td>1922.697737</td>\n",
       "      <td>0.425620</td>\n",
       "      <td>-5.124828</td>\n",
       "      <td>2.978093e-07</td>\n",
       "      <td>1.565874e-05</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>81</th>\n",
       "      <td>ENSMUSG00000042826</td>\n",
       "      <td>1061.179181</td>\n",
       "      <td>0.541590</td>\n",
       "      <td>-5.111255</td>\n",
       "      <td>3.200253e-07</td>\n",
       "      <td>1.662289e-05</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>82</th>\n",
       "      <td>ENSMUSG00000041481</td>\n",
       "      <td>4975.589229</td>\n",
       "      <td>-0.422457</td>\n",
       "      <td>5.097114</td>\n",
       "      <td>3.448701e-07</td>\n",
       "      <td>1.769886e-05</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>83</th>\n",
       "      <td>ENSMUSG00000022902</td>\n",
       "      <td>17.415075</td>\n",
       "      <td>0.569847</td>\n",
       "      <td>-5.073514</td>\n",
       "      <td>3.905364e-07</td>\n",
       "      <td>1.974686e-05</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>84</th>\n",
       "      <td>ENSMUSG00000020798</td>\n",
       "      <td>54.631755</td>\n",
       "      <td>0.727070</td>\n",
       "      <td>-5.057038</td>\n",
       "      <td>4.258182e-07</td>\n",
       "      <td>2.134196e-05</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>85</th>\n",
       "      <td>ENSMUSG00000028072</td>\n",
       "      <td>7499.283874</td>\n",
       "      <td>-0.545480</td>\n",
       "      <td>5.040457</td>\n",
       "      <td>4.644211e-07</td>\n",
       "      <td>2.300764e-05</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>86</th>\n",
       "      <td>ENSMUSG00000025592</td>\n",
       "      <td>65.433682</td>\n",
       "      <td>0.740815</td>\n",
       "      <td>-5.026139</td>\n",
       "      <td>5.004525e-07</td>\n",
       "      <td>2.450930e-05</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>87</th>\n",
       "      <td>ENSMUSG00000022836</td>\n",
       "      <td>1330.233343</td>\n",
       "      <td>0.623212</td>\n",
       "      <td>-5.016758</td>\n",
       "      <td>5.255078e-07</td>\n",
       "      <td>2.544556e-05</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>88</th>\n",
       "      <td>ENSMUSG00000005045</td>\n",
       "      <td>3628.388469</td>\n",
       "      <td>-0.426177</td>\n",
       "      <td>4.997166</td>\n",
       "      <td>5.817912e-07</td>\n",
       "      <td>2.779091e-05</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>89</th>\n",
       "      <td>ENSMUSG00000025090</td>\n",
       "      <td>608.762834</td>\n",
       "      <td>0.543096</td>\n",
       "      <td>-4.988483</td>\n",
       "      <td>6.085519e-07</td>\n",
       "      <td>2.881544e-05</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>90</th>\n",
       "      <td>ENSMUSG00000000416</td>\n",
       "      <td>1155.098102</td>\n",
       "      <td>0.542034</td>\n",
       "      <td>-4.956080</td>\n",
       "      <td>7.192943e-07</td>\n",
       "      <td>3.368695e-05</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>91</th>\n",
       "      <td>ENSMUSG00000062760</td>\n",
       "      <td>4008.249143</td>\n",
       "      <td>-0.416101</td>\n",
       "      <td>4.928459</td>\n",
       "      <td>8.288085e-07</td>\n",
       "      <td>3.839624e-05</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>92</th>\n",
       "      <td>ENSMUSG00000033983</td>\n",
       "      <td>902.301269</td>\n",
       "      <td>0.462619</td>\n",
       "      <td>-4.924519</td>\n",
       "      <td>8.456817e-07</td>\n",
       "      <td>3.875890e-05</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>93</th>\n",
       "      <td>ENSMUSG00000020427</td>\n",
       "      <td>1337.503405</td>\n",
       "      <td>0.604765</td>\n",
       "      <td>-4.910723</td>\n",
       "      <td>9.074128e-07</td>\n",
       "      <td>4.114805e-05</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>94</th>\n",
       "      <td>ENSMUSG00000020737</td>\n",
       "      <td>6621.883776</td>\n",
       "      <td>0.416878</td>\n",
       "      <td>-4.885709</td>\n",
       "      <td>1.030572e-06</td>\n",
       "      <td>4.624356e-05</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>95</th>\n",
       "      <td>ENSMUSG00000037062</td>\n",
       "      <td>6076.458447</td>\n",
       "      <td>0.420008</td>\n",
       "      <td>-4.881184</td>\n",
       "      <td>1.054506e-06</td>\n",
       "      <td>4.682715e-05</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>96</th>\n",
       "      <td>ENSMUSG00000031382</td>\n",
       "      <td>45.167336</td>\n",
       "      <td>0.406106</td>\n",
       "      <td>-4.867451</td>\n",
       "      <td>1.130467e-06</td>\n",
       "      <td>4.968546e-05</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>97</th>\n",
       "      <td>ENSMUSG00000035576</td>\n",
       "      <td>464.441725</td>\n",
       "      <td>-0.592566</td>\n",
       "      <td>4.849521</td>\n",
       "      <td>1.237598e-06</td>\n",
       "      <td>5.384179e-05</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>98</th>\n",
       "      <td>ENSMUSG00000001349</td>\n",
       "      <td>148.230383</td>\n",
       "      <td>0.660789</td>\n",
       "      <td>-4.841966</td>\n",
       "      <td>1.285610e-06</td>\n",
       "      <td>5.536844e-05</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>99</th>\n",
       "      <td>ENSMUSG00000053063</td>\n",
       "      <td>392.418630</td>\n",
       "      <td>0.679222</td>\n",
       "      <td>-4.825189</td>\n",
       "      <td>1.398703e-06</td>\n",
       "      <td>5.978657e-05</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>100</th>\n",
       "      <td>ENSMUSG00000004609</td>\n",
       "      <td>275.760166</td>\n",
       "      <td>0.673551</td>\n",
       "      <td>-4.811205</td>\n",
       "      <td>1.500234e-06</td>\n",
       "      <td>6.333868e-05</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>101</th>\n",
       "      <td>ENSMUSG00000024873</td>\n",
       "      <td>562.289469</td>\n",
       "      <td>-0.581251</td>\n",
       "      <td>4.794897</td>\n",
       "      <td>1.627581e-06</td>\n",
       "      <td>6.804478e-05</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>102</th>\n",
       "      <td>ENSMUSG00000075511</td>\n",
       "      <td>1418.494601</td>\n",
       "      <td>-0.454450</td>\n",
       "      <td>4.775298</td>\n",
       "      <td>1.794410e-06</td>\n",
       "      <td>7.429463e-05</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>103</th>\n",
       "      <td>ENSMUSG00000004031</td>\n",
       "      <td>2248.642201</td>\n",
       "      <td>-0.398909</td>\n",
       "      <td>4.753532</td>\n",
       "      <td>1.998932e-06</td>\n",
       "      <td>8.197055e-05</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>104</th>\n",
       "      <td>ENSMUSG00000028459</td>\n",
       "      <td>150.698103</td>\n",
       "      <td>0.666142</td>\n",
       "      <td>-4.738651</td>\n",
       "      <td>2.151452e-06</td>\n",
       "      <td>8.738872e-05</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>105</th>\n",
       "      <td>ENSMUSG00000031519</td>\n",
       "      <td>65.708107</td>\n",
       "      <td>0.492228</td>\n",
       "      <td>-4.719913</td>\n",
       "      <td>2.359458e-06</td>\n",
       "      <td>9.493774e-05</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>106</th>\n",
       "      <td>ENSMUSG00000019966</td>\n",
       "      <td>4772.631620</td>\n",
       "      <td>0.423625</td>\n",
       "      <td>-4.709819</td>\n",
       "      <td>2.479374e-06</td>\n",
       "      <td>9.883477e-05</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>107</th>\n",
       "      <td>ENSMUSG00000040612</td>\n",
       "      <td>1708.813914</td>\n",
       "      <td>0.604766</td>\n",
       "      <td>-4.693462</td>\n",
       "      <td>2.686198e-06</td>\n",
       "      <td>1.060924e-04</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>108</th>\n",
       "      <td>ENSMUSG00000000682</td>\n",
       "      <td>484.846830</td>\n",
       "      <td>0.626666</td>\n",
       "      <td>-4.680273</td>\n",
       "      <td>2.864929e-06</td>\n",
       "      <td>1.121181e-04</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>109</th>\n",
       "      <td>ENSMUSG00000041653</td>\n",
       "      <td>935.219188</td>\n",
       "      <td>-0.606189</td>\n",
       "      <td>4.674512</td>\n",
       "      <td>2.946540e-06</td>\n",
       "      <td>1.144430e-04</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>110</th>\n",
       "      <td>ENSMUSG00000052921</td>\n",
       "      <td>484.158457</td>\n",
       "      <td>0.536571</td>\n",
       "      <td>-4.646985</td>\n",
       "      <td>3.368215e-06</td>\n",
       "      <td>1.294497e-04</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>111</th>\n",
       "      <td>ENSMUSG00000033350</td>\n",
       "      <td>4599.085909</td>\n",
       "      <td>0.551091</td>\n",
       "      <td>-4.635570</td>\n",
       "      <td>3.559546e-06</td>\n",
       "      <td>1.355870e-04</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>112</th>\n",
       "      <td>ENSMUSG00000078771</td>\n",
       "      <td>182.455994</td>\n",
       "      <td>0.620041</td>\n",
       "      <td>-4.625054</td>\n",
       "      <td>3.745010e-06</td>\n",
       "      <td>1.413947e-04</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>113</th>\n",
       "      <td>ENSMUSG00000030731</td>\n",
       "      <td>1060.826544</td>\n",
       "      <td>-0.542463</td>\n",
       "      <td>4.611812</td>\n",
       "      <td>3.991747e-06</td>\n",
       "      <td>1.493942e-04</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>114</th>\n",
       "      <td>ENSMUSG00000057897</td>\n",
       "      <td>2165.501453</td>\n",
       "      <td>-0.393365</td>\n",
       "      <td>4.603239</td>\n",
       "      <td>4.159713e-06</td>\n",
       "      <td>1.543325e-04</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>115</th>\n",
       "      <td>ENSMUSG00000021376</td>\n",
       "      <td>636.677868</td>\n",
       "      <td>0.560542</td>\n",
       "      <td>-4.578840</td>\n",
       "      <td>4.675618e-06</td>\n",
       "      <td>1.712495e-04</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>116</th>\n",
       "      <td>ENSMUSG00000015484</td>\n",
       "      <td>140.888497</td>\n",
       "      <td>0.673017</td>\n",
       "      <td>-4.571208</td>\n",
       "      <td>4.849216e-06</td>\n",
       "      <td>1.768519e-04</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>117</th>\n",
       "      <td>ENSMUSG00000024256</td>\n",
       "      <td>6083.247354</td>\n",
       "      <td>0.487655</td>\n",
       "      <td>-4.557837</td>\n",
       "      <td>5.168315e-06</td>\n",
       "      <td>1.868989e-04</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>118</th>\n",
       "      <td>ENSMUSG00000040724</td>\n",
       "      <td>6615.498840</td>\n",
       "      <td>-0.317752</td>\n",
       "      <td>4.521351</td>\n",
       "      <td>6.144612e-06</td>\n",
       "      <td>2.203447e-04</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>119</th>\n",
       "      <td>ENSMUSG00000039546</td>\n",
       "      <td>56.647051</td>\n",
       "      <td>0.667581</td>\n",
       "      <td>-4.508363</td>\n",
       "      <td>6.532977e-06</td>\n",
       "      <td>2.327259e-04</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>120</th>\n",
       "      <td>ENSMUSG00000029201</td>\n",
       "      <td>1776.636541</td>\n",
       "      <td>0.388157</td>\n",
       "      <td>-4.494057</td>\n",
       "      <td>6.987887e-06</td>\n",
       "      <td>2.464596e-04</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>121</th>\n",
       "      <td>ENSMUSG00000005220</td>\n",
       "      <td>118.438206</td>\n",
       "      <td>0.640279</td>\n",
       "      <td>-4.483429</td>\n",
       "      <td>7.345319e-06</td>\n",
       "      <td>2.569513e-04</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>122</th>\n",
       "      <td>ENSMUSG00000020458</td>\n",
       "      <td>53205.000765</td>\n",
       "      <td>0.377116</td>\n",
       "      <td>-4.476709</td>\n",
       "      <td>7.580255e-06</td>\n",
       "      <td>2.630226e-04</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>123</th>\n",
       "      <td>ENSMUSG00000048096</td>\n",
       "      <td>130.140644</td>\n",
       "      <td>0.657768</td>\n",
       "      <td>-4.470087</td>\n",
       "      <td>7.818788e-06</td>\n",
       "      <td>2.691202e-04</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>124</th>\n",
       "      <td>ENSMUSG00000075249</td>\n",
       "      <td>23.933902</td>\n",
       "      <td>0.529569</td>\n",
       "      <td>-4.458699</td>\n",
       "      <td>8.245873e-06</td>\n",
       "      <td>2.815588e-04</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>125</th>\n",
       "      <td>ENSMUSG00000062997</td>\n",
       "      <td>5890.793347</td>\n",
       "      <td>0.390708</td>\n",
       "      <td>-4.449010</td>\n",
       "      <td>8.626681e-06</td>\n",
       "      <td>2.922331e-04</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>126</th>\n",
       "      <td>ENSMUSG00000082329</td>\n",
       "      <td>27.549398</td>\n",
       "      <td>-0.316849</td>\n",
       "      <td>4.429224</td>\n",
       "      <td>9.457291e-06</td>\n",
       "      <td>3.178577e-04</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>127</th>\n",
       "      <td>ENSMUSG00000066477</td>\n",
       "      <td>457.333336</td>\n",
       "      <td>-0.552386</td>\n",
       "      <td>4.413249</td>\n",
       "      <td>1.018310e-05</td>\n",
       "      <td>3.389291e-04</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>128</th>\n",
       "      <td>ENSMUSG00000027800</td>\n",
       "      <td>1352.981210</td>\n",
       "      <td>0.480121</td>\n",
       "      <td>-4.400013</td>\n",
       "      <td>1.082442e-05</td>\n",
       "      <td>3.574201e-04</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>129</th>\n",
       "      <td>ENSMUSG00000058070</td>\n",
       "      <td>20208.608139</td>\n",
       "      <td>-0.378708</td>\n",
       "      <td>4.392670</td>\n",
       "      <td>1.119671e-05</td>\n",
       "      <td>3.669653e-04</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>130</th>\n",
       "      <td>ENSMUSG00000026880</td>\n",
       "      <td>2706.839047</td>\n",
       "      <td>0.449022</td>\n",
       "      <td>-4.373607</td>\n",
       "      <td>1.222106e-05</td>\n",
       "      <td>3.967446e-04</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>131</th>\n",
       "      <td>ENSMUSG00000025321</td>\n",
       "      <td>10607.677389</td>\n",
       "      <td>0.431241</td>\n",
       "      <td>-4.361491</td>\n",
       "      <td>1.291788e-05</td>\n",
       "      <td>4.169970e-04</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>132</th>\n",
       "      <td>ENSMUSG00000075270</td>\n",
       "      <td>2926.923451</td>\n",
       "      <td>-0.408322</td>\n",
       "      <td>4.352885</td>\n",
       "      <td>1.343575e-05</td>\n",
       "      <td>4.304715e-04</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>133</th>\n",
       "      <td>ENSMUSG00000058546</td>\n",
       "      <td>4217.501963</td>\n",
       "      <td>0.452739</td>\n",
       "      <td>-4.343360</td>\n",
       "      <td>1.403199e-05</td>\n",
       "      <td>4.462381e-04</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>134</th>\n",
       "      <td>ENSMUSG00000024349</td>\n",
       "      <td>492.890523</td>\n",
       "      <td>0.468243</td>\n",
       "      <td>-4.333088</td>\n",
       "      <td>1.470324e-05</td>\n",
       "      <td>4.641402e-04</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>135</th>\n",
       "      <td>ENSMUSG00000032036</td>\n",
       "      <td>1545.213929</td>\n",
       "      <td>-0.412749</td>\n",
       "      <td>4.328413</td>\n",
       "      <td>1.501878e-05</td>\n",
       "      <td>4.704466e-04</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>136</th>\n",
       "      <td>ENSMUSG00000027313</td>\n",
       "      <td>280.148989</td>\n",
       "      <td>0.573529</td>\n",
       "      <td>-4.324163</td>\n",
       "      <td>1.531123e-05</td>\n",
       "      <td>4.744788e-04</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>137</th>\n",
       "      <td>ENSMUSG00000032249</td>\n",
       "      <td>4214.430836</td>\n",
       "      <td>0.356434</td>\n",
       "      <td>-4.319295</td>\n",
       "      <td>1.565285e-05</td>\n",
       "      <td>4.834333e-04</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>138</th>\n",
       "      <td>ENSMUSG00000002012</td>\n",
       "      <td>450.459400</td>\n",
       "      <td>-0.491098</td>\n",
       "      <td>4.310303</td>\n",
       "      <td>1.630308e-05</td>\n",
       "      <td>4.999127e-04</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>139</th>\n",
       "      <td>ENSMUSG00000043832</td>\n",
       "      <td>150.109531</td>\n",
       "      <td>0.609018</td>\n",
       "      <td>-4.307250</td>\n",
       "      <td>1.652967e-05</td>\n",
       "      <td>5.032594e-04</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>140</th>\n",
       "      <td>ENSMUSG00000027208</td>\n",
       "      <td>523.843600</td>\n",
       "      <td>0.519336</td>\n",
       "      <td>-4.297960</td>\n",
       "      <td>1.723771e-05</td>\n",
       "      <td>5.211139e-04</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>141</th>\n",
       "      <td>ENSMUSG00000048899</td>\n",
       "      <td>6744.401771</td>\n",
       "      <td>-0.349289</td>\n",
       "      <td>4.291974</td>\n",
       "      <td>1.770918e-05</td>\n",
       "      <td>5.316166e-04</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>142</th>\n",
       "      <td>ENSMUSG00000049037</td>\n",
       "      <td>155.677742</td>\n",
       "      <td>0.608852</td>\n",
       "      <td>-4.286058</td>\n",
       "      <td>1.818718e-05</td>\n",
       "      <td>5.427030e-04</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>143</th>\n",
       "      <td>ENSMUSG00000094797</td>\n",
       "      <td>18.370489</td>\n",
       "      <td>0.358503</td>\n",
       "      <td>-4.275262</td>\n",
       "      <td>1.909123e-05</td>\n",
       "      <td>5.651862e-04</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>144</th>\n",
       "      <td>ENSMUSG00000021508</td>\n",
       "      <td>142.253613</td>\n",
       "      <td>0.629162</td>\n",
       "      <td>-4.268241</td>\n",
       "      <td>1.970204e-05</td>\n",
       "      <td>5.801245e-04</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>145</th>\n",
       "      <td>ENSMUSG00000059810</td>\n",
       "      <td>3919.962308</td>\n",
       "      <td>-0.365216</td>\n",
       "      <td>4.259339</td>\n",
       "      <td>2.050325e-05</td>\n",
       "      <td>5.985518e-04</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>146</th>\n",
       "      <td>ENSMUSG00000024789</td>\n",
       "      <td>1955.949602</td>\n",
       "      <td>0.381019</td>\n",
       "      <td>-4.251012</td>\n",
       "      <td>2.128072e-05</td>\n",
       "      <td>6.172130e-04</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>147</th>\n",
       "      <td>ENSMUSG00000032908</td>\n",
       "      <td>6283.349406</td>\n",
       "      <td>-0.377863</td>\n",
       "      <td>4.243526</td>\n",
       "      <td>2.200346e-05</td>\n",
       "      <td>6.338846e-04</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>148</th>\n",
       "      <td>ENSMUSG00000032269</td>\n",
       "      <td>5359.788720</td>\n",
       "      <td>-0.545080</td>\n",
       "      <td>4.224672</td>\n",
       "      <td>2.392889e-05</td>\n",
       "      <td>6.847497e-04</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>149</th>\n",
       "      <td>ENSMUSG00000043795</td>\n",
       "      <td>94.737661</td>\n",
       "      <td>0.612872</td>\n",
       "      <td>-4.213025</td>\n",
       "      <td>2.519727e-05</td>\n",
       "      <td>7.150769e-04</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>150</th>\n",
       "      <td>ENSMUSG00000058600</td>\n",
       "      <td>4786.732120</td>\n",
       "      <td>0.347805</td>\n",
       "      <td>-4.204510</td>\n",
       "      <td>2.616484e-05</td>\n",
       "      <td>7.376506e-04</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>151</th>\n",
       "      <td>ENSMUSG00000054277</td>\n",
       "      <td>3590.835421</td>\n",
       "      <td>-0.344597</td>\n",
       "      <td>4.197494</td>\n",
       "      <td>2.698853e-05</td>\n",
       "      <td>7.556487e-04</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>152</th>\n",
       "      <td>ENSMUSG00000062933</td>\n",
       "      <td>384.082182</td>\n",
       "      <td>-0.592479</td>\n",
       "      <td>4.191350</td>\n",
       "      <td>2.772993e-05</td>\n",
       "      <td>7.716213e-04</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>153</th>\n",
       "      <td>ENSMUSG00000035861</td>\n",
       "      <td>22.762075</td>\n",
       "      <td>0.528728</td>\n",
       "      <td>-4.181275</td>\n",
       "      <td>2.898784e-05</td>\n",
       "      <td>8.014202e-04</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>154</th>\n",
       "      <td>ENSMUSG00000036144</td>\n",
       "      <td>704.558374</td>\n",
       "      <td>0.482705</td>\n",
       "      <td>-4.176654</td>\n",
       "      <td>2.958290e-05</td>\n",
       "      <td>8.126290e-04</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>155</th>\n",
       "      <td>ENSMUSG00000082145</td>\n",
       "      <td>18.081713</td>\n",
       "      <td>-0.315132</td>\n",
       "      <td>4.173833</td>\n",
       "      <td>2.995175e-05</td>\n",
       "      <td>8.175207e-04</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>156</th>\n",
       "      <td>ENSMUSG00000026768</td>\n",
       "      <td>134.869847</td>\n",
       "      <td>0.609512</td>\n",
       "      <td>-4.163156</td>\n",
       "      <td>3.138793e-05</td>\n",
       "      <td>8.512984e-04</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>157</th>\n",
       "      <td>ENSMUSG00000005667</td>\n",
       "      <td>1392.797019</td>\n",
       "      <td>0.406644</td>\n",
       "      <td>-4.156987</td>\n",
       "      <td>3.224728e-05</td>\n",
       "      <td>8.677404e-04</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>158</th>\n",
       "      <td>ENSMUSG00000042895</td>\n",
       "      <td>26.892136</td>\n",
       "      <td>0.283982</td>\n",
       "      <td>-4.151201</td>\n",
       "      <td>3.307356e-05</td>\n",
       "      <td>8.858029e-04</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>159</th>\n",
       "      <td>ENSMUSG00000002908</td>\n",
       "      <td>1882.511166</td>\n",
       "      <td>-0.429813</td>\n",
       "      <td>4.138458</td>\n",
       "      <td>3.496486e-05</td>\n",
       "      <td>9.292971e-04</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>160</th>\n",
       "      <td>ENSMUSG00000026484</td>\n",
       "      <td>1079.820043</td>\n",
       "      <td>0.433964</td>\n",
       "      <td>-4.133742</td>\n",
       "      <td>3.569035e-05</td>\n",
       "      <td>9.440869e-04</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>161</th>\n",
       "      <td>ENSMUSG00000078453</td>\n",
       "      <td>407.984339</td>\n",
       "      <td>0.498521</td>\n",
       "      <td>-4.127025</td>\n",
       "      <td>3.674860e-05</td>\n",
       "      <td>9.661163e-04</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>162</th>\n",
       "      <td>ENSMUSG00000031962</td>\n",
       "      <td>393.447395</td>\n",
       "      <td>-0.482314</td>\n",
       "      <td>4.101942</td>\n",
       "      <td>4.096965e-05</td>\n",
       "      <td>1.070519e-03</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>163</th>\n",
       "      <td>ENSMUSG00000083863</td>\n",
       "      <td>82.380427</td>\n",
       "      <td>0.606053</td>\n",
       "      <td>-4.093140</td>\n",
       "      <td>4.255705e-05</td>\n",
       "      <td>1.104757e-03</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>164</th>\n",
       "      <td>ENSMUSG00000032925</td>\n",
       "      <td>1548.604347</td>\n",
       "      <td>0.482915</td>\n",
       "      <td>-4.089063</td>\n",
       "      <td>4.331188e-05</td>\n",
       "      <td>1.118086e-03</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>165</th>\n",
       "      <td>ENSMUSG00000074207</td>\n",
       "      <td>369.574207</td>\n",
       "      <td>0.524188</td>\n",
       "      <td>-4.078387</td>\n",
       "      <td>4.534922e-05</td>\n",
       "      <td>1.163669e-03</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>166</th>\n",
       "      <td>ENSMUSG00000026435</td>\n",
       "      <td>1479.800973</td>\n",
       "      <td>-0.408509</td>\n",
       "      <td>4.071521</td>\n",
       "      <td>4.670711e-05</td>\n",
       "      <td>1.191379e-03</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>167</th>\n",
       "      <td>ENSMUSG00000022217</td>\n",
       "      <td>2659.845733</td>\n",
       "      <td>-0.437365</td>\n",
       "      <td>4.067594</td>\n",
       "      <td>4.750108e-05</td>\n",
       "      <td>1.204462e-03</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>168</th>\n",
       "      <td>ENSMUSG00000015536</td>\n",
       "      <td>3903.413565</td>\n",
       "      <td>0.351420</td>\n",
       "      <td>-4.061839</td>\n",
       "      <td>4.868759e-05</td>\n",
       "      <td>1.227285e-03</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>169</th>\n",
       "      <td>ENSMUSG00000026981</td>\n",
       "      <td>67.297339</td>\n",
       "      <td>0.596874</td>\n",
       "      <td>-4.052241</td>\n",
       "      <td>5.072928e-05</td>\n",
       "      <td>1.272811e-03</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>170</th>\n",
       "      <td>ENSMUSG00000085905</td>\n",
       "      <td>38.615920</td>\n",
       "      <td>0.574895</td>\n",
       "      <td>-4.043564</td>\n",
       "      <td>5.264488e-05</td>\n",
       "      <td>1.311607e-03</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>171</th>\n",
       "      <td>ENSMUSG00000031245</td>\n",
       "      <td>279.135564</td>\n",
       "      <td>0.568970</td>\n",
       "      <td>-4.040085</td>\n",
       "      <td>5.343192e-05</td>\n",
       "      <td>1.321611e-03</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>172</th>\n",
       "      <td>ENSMUSG00000032253</td>\n",
       "      <td>3612.102225</td>\n",
       "      <td>0.430972</td>\n",
       "      <td>-4.031820</td>\n",
       "      <td>5.534660e-05</td>\n",
       "      <td>1.363069e-03</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>173</th>\n",
       "      <td>ENSMUSG00000025867</td>\n",
       "      <td>13926.271701</td>\n",
       "      <td>-0.334032</td>\n",
       "      <td>4.028300</td>\n",
       "      <td>5.618151e-05</td>\n",
       "      <td>1.375725e-03</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>174</th>\n",
       "      <td>ENSMUSG00000068798</td>\n",
       "      <td>2640.796289</td>\n",
       "      <td>0.419686</td>\n",
       "      <td>-4.020269</td>\n",
       "      <td>5.813161e-05</td>\n",
       "      <td>1.415389e-03</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>175</th>\n",
       "      <td>ENSMUSG00000025290</td>\n",
       "      <td>12628.526847</td>\n",
       "      <td>0.371852</td>\n",
       "      <td>-4.011613</td>\n",
       "      <td>6.030528e-05</td>\n",
       "      <td>1.460018e-03</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>176</th>\n",
       "      <td>ENSMUSG00000094335</td>\n",
       "      <td>20.686622</td>\n",
       "      <td>0.426406</td>\n",
       "      <td>-4.003223</td>\n",
       "      <td>6.248541e-05</td>\n",
       "      <td>1.504301e-03</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>177</th>\n",
       "      <td>ENSMUSG00000045318</td>\n",
       "      <td>775.498537</td>\n",
       "      <td>-0.496834</td>\n",
       "      <td>4.000499</td>\n",
       "      <td>6.320902e-05</td>\n",
       "      <td>1.517205e-03</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>178</th>\n",
       "      <td>ENSMUSG00000096931</td>\n",
       "      <td>35.233861</td>\n",
       "      <td>0.535329</td>\n",
       "      <td>-3.994924</td>\n",
       "      <td>6.471497e-05</td>\n",
       "      <td>1.540666e-03</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>179</th>\n",
       "      <td>ENSMUSG00000022895</td>\n",
       "      <td>1134.245840</td>\n",
       "      <td>0.410693</td>\n",
       "      <td>-3.987475</td>\n",
       "      <td>6.678019e-05</td>\n",
       "      <td>1.581049e-03</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>180</th>\n",
       "      <td>ENSMUSG00000045246</td>\n",
       "      <td>509.419290</td>\n",
       "      <td>-0.491459</td>\n",
       "      <td>3.980554</td>\n",
       "      <td>6.875477e-05</td>\n",
       "      <td>1.618854e-03</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>181</th>\n",
       "      <td>ENSMUSG00000023911</td>\n",
       "      <td>370.424747</td>\n",
       "      <td>-0.492521</td>\n",
       "      <td>3.972239</td>\n",
       "      <td>7.120036e-05</td>\n",
       "      <td>1.667275e-03</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>182</th>\n",
       "      <td>ENSMUSG00000030772</td>\n",
       "      <td>6967.211749</td>\n",
       "      <td>-0.324692</td>\n",
       "      <td>3.955762</td>\n",
       "      <td>7.629094e-05</td>\n",
       "      <td>1.773005e-03</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>183</th>\n",
       "      <td>ENSMUSG00000033306</td>\n",
       "      <td>2060.455679</td>\n",
       "      <td>0.389209</td>\n",
       "      <td>-3.951667</td>\n",
       "      <td>7.760864e-05</td>\n",
       "      <td>1.797689e-03</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>184</th>\n",
       "      <td>ENSMUSG00000031958</td>\n",
       "      <td>703.556060</td>\n",
       "      <td>-0.411147</td>\n",
       "      <td>3.941892</td>\n",
       "      <td>8.084140e-05</td>\n",
       "      <td>1.862503e-03</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>185</th>\n",
       "      <td>ENSMUSG00000049404</td>\n",
       "      <td>1872.396770</td>\n",
       "      <td>-0.387567</td>\n",
       "      <td>3.936694</td>\n",
       "      <td>8.261182e-05</td>\n",
       "      <td>1.893114e-03</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>186</th>\n",
       "      <td>ENSMUSG00000043154</td>\n",
       "      <td>1969.194245</td>\n",
       "      <td>0.329759</td>\n",
       "      <td>-3.929912</td>\n",
       "      <td>8.497691e-05</td>\n",
       "      <td>1.934887e-03</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>187</th>\n",
       "      <td>ENSMUSG00000030357</td>\n",
       "      <td>17250.957141</td>\n",
       "      <td>-0.284794</td>\n",
       "      <td>3.909251</td>\n",
       "      <td>9.258278e-05</td>\n",
       "      <td>2.099155e-03</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>188</th>\n",
       "      <td>ENSMUSG00000062078</td>\n",
       "      <td>11057.268805</td>\n",
       "      <td>0.433507</td>\n",
       "      <td>-3.900608</td>\n",
       "      <td>9.595139e-05</td>\n",
       "      <td>2.161239e-03</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>189</th>\n",
       "      <td>ENSMUSG00000018774</td>\n",
       "      <td>332.882443</td>\n",
       "      <td>0.506687</td>\n",
       "      <td>-3.891611</td>\n",
       "      <td>9.958079e-05</td>\n",
       "      <td>2.234181e-03</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>190</th>\n",
       "      <td>ENSMUSG00000022215</td>\n",
       "      <td>18.180890</td>\n",
       "      <td>0.263239</td>\n",
       "      <td>-3.879550</td>\n",
       "      <td>1.046500e-04</td>\n",
       "      <td>2.333293e-03</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>191</th>\n",
       "      <td>ENSMUSG00000075277</td>\n",
       "      <td>254.185811</td>\n",
       "      <td>-0.483543</td>\n",
       "      <td>3.874812</td>\n",
       "      <td>1.067069e-04</td>\n",
       "      <td>2.369253e-03</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>192</th>\n",
       "      <td>ENSMUSG00000006411</td>\n",
       "      <td>969.972500</td>\n",
       "      <td>-0.377833</td>\n",
       "      <td>3.865833</td>\n",
       "      <td>1.107106e-04</td>\n",
       "      <td>2.445477e-03</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>193</th>\n",
       "      <td>ENSMUSG00000060212</td>\n",
       "      <td>2673.217124</td>\n",
       "      <td>-0.394651</td>\n",
       "      <td>3.857940</td>\n",
       "      <td>1.143467e-04</td>\n",
       "      <td>2.512843e-03</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>194</th>\n",
       "      <td>ENSMUSG00000075602</td>\n",
       "      <td>974.623857</td>\n",
       "      <td>0.413818</td>\n",
       "      <td>-3.848100</td>\n",
       "      <td>1.190377e-04</td>\n",
       "      <td>2.602582e-03</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>195</th>\n",
       "      <td>ENSMUSG00000026305</td>\n",
       "      <td>1492.203785</td>\n",
       "      <td>0.350318</td>\n",
       "      <td>-3.843718</td>\n",
       "      <td>1.211842e-04</td>\n",
       "      <td>2.632723e-03</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>196</th>\n",
       "      <td>ENSMUSG00000021710</td>\n",
       "      <td>782.053114</td>\n",
       "      <td>0.371730</td>\n",
       "      <td>-3.840828</td>\n",
       "      <td>1.226199e-04</td>\n",
       "      <td>2.653823e-03</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>197</th>\n",
       "      <td>ENSMUSG00000026959</td>\n",
       "      <td>3255.882216</td>\n",
       "      <td>-0.388816</td>\n",
       "      <td>3.834714</td>\n",
       "      <td>1.257103e-04</td>\n",
       "      <td>2.707035e-03</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>198</th>\n",
       "      <td>ENSMUSG00000027997</td>\n",
       "      <td>313.742234</td>\n",
       "      <td>0.485476</td>\n",
       "      <td>-3.829868</td>\n",
       "      <td>1.282120e-04</td>\n",
       "      <td>2.748783e-03</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>199</th>\n",
       "      <td>ENSMUSG00000027347</td>\n",
       "      <td>11487.058826</td>\n",
       "      <td>-0.328126</td>\n",
       "      <td>3.824952</td>\n",
       "      <td>1.307974e-04</td>\n",
       "      <td>2.785091e-03</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table></div>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "%preview -n DEG_list.xlsx"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "kernel": "SoS"
   },
   "source": [
    "Because SoS is based on Python 3.6, we can technically use SoS kernel to read the excel file, but we use a `Python 3` kernel anyway:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "kernel": "Python3"
   },
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "data = pd.read_excel('DEG_list.xlsx')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "kernel": "Python3"
   },
   "source": [
    "We can then go to a R kernel and get `data` from the Python3 kernel"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "kernel": "R"
   },
   "outputs": [],
   "source": [
    "%get data --from Python3"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "kernel": "R"
   },
   "source": [
    "and use the `ensembl` library from bioconductor to get gene names from the Ensembl names in the data. The `%preview` magic previews the `R` variable."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "kernel": "R",
    "scrolled": false
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Warning message:\n",
      "                                                                      \r"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div class=\"sos_hint\">%preview annotated</div>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<div class=\"sos_hint\">> annotated:</div>"
      ],
      "text/plain": [
       ">>> annotated:\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<table>\n",
       "<thead><tr><th scope=col>ensembl_gene_id</th><th scope=col>baseMean</th><th scope=col>log2FoldChange</th><th scope=col>stat</th><th scope=col>pvalue</th><th scope=col>padj</th><th scope=col>external_gene_name</th></tr></thead>\n",
       "<tbody>\n",
       "\t<tr><td>ENSMUSG00000000214</td><td> 4138.211600      </td><td>-0.6104918        </td><td> 6.070828         </td><td>1.272524e-09      </td><td>1.136059e-07      </td><td>Th                </td></tr>\n",
       "\t<tr><td>ENSMUSG00000000278</td><td> 2246.095680      </td><td> 0.8200463        </td><td>-9.477766         </td><td>2.597862e-21      </td><td>6.646262e-19      </td><td>Scpep1            </td></tr>\n",
       "\t<tr><td>ENSMUSG00000000308</td><td> 9818.688762      </td><td>-0.2338556        </td><td> 2.821715         </td><td>4.776759e-03      </td><td>3.975285e-02      </td><td>Ckmt1             </td></tr>\n",
       "\t<tr><td>ENSMUSG00000000320</td><td>  155.787128      </td><td> 0.2876111        </td><td>-1.986710         </td><td>4.695454e-02      </td><td>1.806179e-01      </td><td>Alox12            </td></tr>\n",
       "\t<tr><td>ENSMUSG00000000416</td><td> 1155.098102      </td><td> 0.5420341        </td><td>-4.956080         </td><td>7.192943e-07      </td><td>3.368695e-05      </td><td>Cttnbp2           </td></tr>\n",
       "\t<tr><td>ENSMUSG00000000420</td><td> 3554.753276      </td><td> 0.2553115        </td><td>-3.232391         </td><td>1.227588e-03      </td><td>1.514909e-02      </td><td>Galnt1            </td></tr>\n",
       "\t<tr><td>ENSMUSG00000000627</td><td> 4476.218886      </td><td> 0.2718751        </td><td>-2.310253         </td><td>2.087415e-02      </td><td>1.067084e-01      </td><td>Sema4f            </td></tr>\n",
       "\t<tr><td>ENSMUSG00000000628</td><td>  319.764340      </td><td> 0.4280945        </td><td>-2.946737         </td><td>3.211462e-03      </td><td>2.997037e-02      </td><td>Hk2               </td></tr>\n",
       "\t<tr><td>ENSMUSG00000000682</td><td>  484.846830      </td><td> 0.6266664        </td><td>-4.680273         </td><td>2.864929e-06      </td><td>1.121181e-04      </td><td>Cd52              </td></tr>\n",
       "\t<tr><td>ENSMUSG00000000730</td><td>    7.627173      </td><td> 0.2362571        </td><td>-2.682550         </td><td>7.306328e-03      </td><td>          NA      </td><td>Dnmt3l            </td></tr>\n",
       "\t<tr><td>ENSMUSG00000000743</td><td> 4563.611985      </td><td>-0.2508448        </td><td> 2.641865         </td><td>8.245084e-03      </td><td>5.726458e-02      </td><td>Chmp1a            </td></tr>\n",
       "\t<tr><td>ENSMUSG00000000751</td><td> 3874.653413      </td><td>-0.2331316        </td><td> 2.954892         </td><td>3.127784e-03      </td><td>2.945788e-02      </td><td>Rpa1              </td></tr>\n",
       "\t<tr><td>ENSMUSG00000000794</td><td>   77.932213      </td><td>-0.2945470        </td><td> 2.003576         </td><td>4.511548e-02      </td><td>1.763317e-01      </td><td>Kcnn3             </td></tr>\n",
       "\t<tr><td>ENSMUSG00000001025</td><td>17006.747340      </td><td>-0.2574028        </td><td> 2.833605         </td><td>4.602618e-03      </td><td>3.874925e-02      </td><td>S100a6            </td></tr>\n",
       "\t<tr><td>ENSMUSG00000001280</td><td> 2383.288580      </td><td> 0.2246021        </td><td>-2.467233         </td><td>1.361619e-02      </td><td>8.035354e-02      </td><td>Sp1               </td></tr>\n",
       "\t<tr><td>ENSMUSG00000001333</td><td> 1162.464914      </td><td>-0.2255600        </td><td> 2.420478         </td><td>1.550010e-02      </td><td>8.749375e-02      </td><td>Sync              </td></tr>\n",
       "\t<tr><td>ENSMUSG00000001349</td><td>  148.230383      </td><td> 0.6607889        </td><td>-4.841966         </td><td>1.285610e-06      </td><td>5.536844e-05      </td><td>Cnn1              </td></tr>\n",
       "\t<tr><td>ENSMUSG00000001380</td><td> 7918.922528      </td><td> 0.1824277        </td><td>-2.565276         </td><td>1.030939e-02      </td><td>6.648355e-02      </td><td>Hars              </td></tr>\n",
       "\t<tr><td>ENSMUSG00000001415</td><td> 4248.668568      </td><td>-0.2422268        </td><td> 2.539732         </td><td>1.109373e-02      </td><td>6.998002e-02      </td><td>Smg5              </td></tr>\n",
       "\t<tr><td>ENSMUSG00000001436</td><td> 1263.258383      </td><td>-0.2358637        </td><td> 2.236040         </td><td>2.534914e-02      </td><td>1.219163e-01      </td><td>Slc19a1           </td></tr>\n",
       "\t<tr><td>ENSMUSG00000001700</td><td>  311.687287      </td><td> 0.3393851        </td><td>-2.773708         </td><td>5.542144e-03      </td><td>4.412350e-02      </td><td>Gramd3            </td></tr>\n",
       "\t<tr><td>ENSMUSG00000001755</td><td> 1499.568213      </td><td>-0.2106140        </td><td> 2.275383         </td><td>2.288294e-02      </td><td>1.134287e-01      </td><td>Coasy             </td></tr>\n",
       "\t<tr><td>ENSMUSG00000001774</td><td> 4364.573704      </td><td> 0.2430831        </td><td>-2.494867         </td><td>1.260045e-02      </td><td>7.610440e-02      </td><td>Chordc1           </td></tr>\n",
       "\t<tr><td>ENSMUSG00000001847</td><td>12823.805954      </td><td> 0.1778602        </td><td>-2.162103         </td><td>3.061020e-02      </td><td>1.377861e-01      </td><td>Rac1              </td></tr>\n",
       "\t<tr><td>ENSMUSG00000001865</td><td>  509.589410      </td><td> 0.4566291        </td><td>-3.556262         </td><td>3.761693e-04      </td><td>6.278402e-03      </td><td>Cpa3              </td></tr>\n",
       "\t<tr><td>ENSMUSG00000001870</td><td>  762.307906      </td><td> 0.3557346        </td><td>-3.267733         </td><td>1.084126e-03      </td><td>1.391985e-02      </td><td>Ltbp1             </td></tr>\n",
       "\t<tr><td>ENSMUSG00000001909</td><td> 1565.248475      </td><td>-0.2889704        </td><td> 3.250489         </td><td>1.152069e-03      </td><td>1.453099e-02      </td><td>Trmt1             </td></tr>\n",
       "\t<tr><td>ENSMUSG00000001911</td><td> 1633.174086      </td><td> 0.2427731        </td><td>-2.141406         </td><td>3.224132e-02      </td><td>1.423618e-01      </td><td>Nfix              </td></tr>\n",
       "\t<tr><td>ENSMUSG00000001924</td><td>24575.966751      </td><td>-0.2108731        </td><td> 2.320610         </td><td>2.030790e-02      </td><td>1.048171e-01      </td><td>Uba1              </td></tr>\n",
       "\t<tr><td>ENSMUSG00000001964</td><td> 1547.844892      </td><td> 0.1863153        </td><td>-2.199904         </td><td>2.781371e-02      </td><td>1.294123e-01      </td><td>Emd               </td></tr>\n",
       "\t<tr><td>⋮</td><td>⋮</td><td>⋮</td><td>⋮</td><td>⋮</td><td>⋮</td><td>⋮</td></tr>\n",
       "\t<tr><td>ENSMUSG00000094335</td><td>  20.686622       </td><td> 0.42640562       </td><td>-4.003223         </td><td>6.248541e-05      </td><td>0.0015043012      </td><td>Igkv1-117         </td></tr>\n",
       "\t<tr><td>ENSMUSG00000094546</td><td>  64.161416       </td><td> 0.07526115       </td><td>-2.260089         </td><td>2.381575e-02      </td><td>0.1167772425      </td><td>Ighv1-26          </td></tr>\n",
       "\t<tr><td>ENSMUSG00000094626</td><td>  22.445892       </td><td> 0.27654076       </td><td>-2.095705         </td><td>3.610832e-02      </td><td>0.1530875042      </td><td>Tmem121b          </td></tr>\n",
       "\t<tr><td>ENSMUSG00000094732</td><td>   3.633133       </td><td> 0.14851581       </td><td>-3.182034         </td><td>1.462445e-03      </td><td>          NA      </td><td>1500015L24Rik     </td></tr>\n",
       "\t<tr><td>ENSMUSG00000094797</td><td>  18.370489       </td><td> 0.35850328       </td><td>-4.275262         </td><td>1.909123e-05      </td><td>0.0005651862      </td><td>Igkv6-15          </td></tr>\n",
       "\t<tr><td>ENSMUSG00000095028</td><td>  17.748802       </td><td> 0.22071387       </td><td>-1.964435         </td><td>4.947964e-02      </td><td>0.1864842910      </td><td>Sirpb1b           </td></tr>\n",
       "\t<tr><td>ENSMUSG00000095362</td><td>1014.129481       </td><td> 0.33930276       </td><td>-2.507800         </td><td>1.214854e-02      </td><td>0.0741588770      </td><td>Gm14325           </td></tr>\n",
       "\t<tr><td>ENSMUSG00000095918</td><td>   8.390640       </td><td> 0.23178587       </td><td>-3.035931         </td><td>2.397942e-03      </td><td>          NA      </td><td>Gm5861            </td></tr>\n",
       "\t<tr><td>ENSMUSG00000096403</td><td>  29.135621       </td><td>-0.24779867       </td><td> 3.079376         </td><td>2.074344e-03      </td><td>0.0222366002      </td><td>Gm9825            </td></tr>\n",
       "\t<tr><td>ENSMUSG00000096459</td><td>  14.669469       </td><td> 0.21227296       </td><td>-2.909286         </td><td>3.622557e-03      </td><td>0.0327782193      </td><td>Ighv9-3           </td></tr>\n",
       "\t<tr><td>ENSMUSG00000096490</td><td>  51.152757       </td><td> 0.07584179       </td><td>-3.109132         </td><td>1.876381e-03      </td><td>0.0207369783      </td><td>Igkv10-94         </td></tr>\n",
       "\t<tr><td>ENSMUSG00000096715</td><td>  16.382006       </td><td> 0.27253764       </td><td>-3.301588         </td><td>9.613918e-04      </td><td>0.0128043637      </td><td>Igkv3-4           </td></tr>\n",
       "\t<tr><td>ENSMUSG00000096780</td><td> 124.903362       </td><td>-0.34382425       </td><td> 2.328241         </td><td>1.989932e-02      </td><td>0.1034559469      </td><td>Tmem181b-ps       </td></tr>\n",
       "\t<tr><td>ENSMUSG00000096847</td><td>2633.169634       </td><td>-0.42194215       </td><td> 3.709991         </td><td>2.072666e-04      </td><td>0.0039562996      </td><td>Tmem151b          </td></tr>\n",
       "\t<tr><td>ENSMUSG00000096931</td><td>  35.233861       </td><td> 0.53532942       </td><td>-3.994924         </td><td>6.471497e-05      </td><td>0.0015406656      </td><td>Gm26656           </td></tr>\n",
       "\t<tr><td>ENSMUSG00000096965</td><td>   2.868267       </td><td> 0.11022564       </td><td>-2.252913         </td><td>2.426467e-02      </td><td>          NA      </td><td>3300005D01Rik     </td></tr>\n",
       "\t<tr><td>ENSMUSG00000097047</td><td>  29.021538       </td><td> 0.30269031       </td><td>-2.223309         </td><td>2.619498e-02      </td><td>0.1244824421      </td><td>1110020A21Rik     </td></tr>\n",
       "\t<tr><td>ENSMUSG00000097180</td><td>  53.448333       </td><td> 0.32390828       </td><td>-2.222511         </td><td>2.624878e-02      </td><td>0.1245999453      </td><td>2700038G22Rik     </td></tr>\n",
       "\t<tr><td>ENSMUSG00000097357</td><td> 107.212979       </td><td> 0.40217004       </td><td>-2.821819         </td><td>4.775216e-03      </td><td>0.0397528498      </td><td>Gm16793           </td></tr>\n",
       "\t<tr><td>ENSMUSG00000097375</td><td> 196.255308       </td><td> 0.37877733       </td><td>-2.808336         </td><td>4.979819e-03      </td><td>0.0409592491      </td><td>6720427I07Rik     </td></tr>\n",
       "\t<tr><td>ENSMUSG00000097404</td><td> 101.130734       </td><td>-0.31233829       </td><td> 2.122148         </td><td>3.382527e-02      </td><td>0.1464508726      </td><td>Gm10814           </td></tr>\n",
       "\t<tr><td>ENSMUSG00000097466</td><td> 145.564341       </td><td> 0.38068267       </td><td>-2.630043         </td><td>8.537396e-03      </td><td>0.0584890902      </td><td>D430036J16Rik     </td></tr>\n",
       "\t<tr><td>ENSMUSG00000097576</td><td>  15.619078       </td><td> 0.25088628       </td><td>-2.140711         </td><td>3.229731e-02      </td><td>0.1424989027      </td><td>D930030I03Rik     </td></tr>\n",
       "\t<tr><td>ENSMUSG00000097622</td><td>  63.268414       </td><td>-0.47408131       </td><td> 3.199273         </td><td>1.377745e-03      </td><td>0.0165030907      </td><td>A330033J07Rik     </td></tr>\n",
       "\t<tr><td>ENSMUSG00000097645</td><td>  11.668458       </td><td> 0.20785568       </td><td>-2.153071         </td><td>3.131308e-02      </td><td>          NA      </td><td>Gm26863           </td></tr>\n",
       "\t<tr><td>ENSMUSG00000097908</td><td> 219.536423       </td><td>-0.28505132       </td><td> 2.258253         </td><td>2.392987e-02      </td><td>0.1171278958      </td><td>4933404O12Rik     </td></tr>\n",
       "\t<tr><td>ENSMUSG00000098276</td><td>   6.499809       </td><td> 0.22822696       </td><td>-3.102306         </td><td>1.920195e-03      </td><td>          NA      </td><td>Mir6358           </td></tr>\n",
       "\t<tr><td>ENSMUSG00000098318</td><td>  16.721908       </td><td> 0.24041191       </td><td>-2.126204         </td><td>3.348625e-02      </td><td>0.1454238144      </td><td>Lockd             </td></tr>\n",
       "\t<tr><td>ENSMUSG00000098482</td><td> 192.980606       </td><td> 0.35082491       </td><td>-2.511948         </td><td>1.200668e-02      </td><td>0.0737129485      </td><td>Mir6363           </td></tr>\n",
       "\t<tr><td>ENSMUSG00000098973</td><td>3337.553280       </td><td> 0.48588812       </td><td>-3.340461         </td><td>8.363935e-04      </td><td>0.0114601289      </td><td>Mir6236           </td></tr>\n",
       "</tbody>\n",
       "</table>\n"
      ],
      "text/latex": [
       "\\begin{tabular}{r|lllllll}\n",
       " ensembl\\_gene\\_id & baseMean & log2FoldChange & stat & pvalue & padj & external\\_gene\\_name\\\\\n",
       "\\hline\n",
       "\t ENSMUSG00000000214 &  4138.211600       & -0.6104918         &  6.070828          & 1.272524e-09       & 1.136059e-07       & Th                \\\\\n",
       "\t ENSMUSG00000000278 &  2246.095680       &  0.8200463         & -9.477766          & 2.597862e-21       & 6.646262e-19       & Scpep1            \\\\\n",
       "\t ENSMUSG00000000308 &  9818.688762       & -0.2338556         &  2.821715          & 4.776759e-03       & 3.975285e-02       & Ckmt1             \\\\\n",
       "\t ENSMUSG00000000320 &   155.787128       &  0.2876111         & -1.986710          & 4.695454e-02       & 1.806179e-01       & Alox12            \\\\\n",
       "\t ENSMUSG00000000416 &  1155.098102       &  0.5420341         & -4.956080          & 7.192943e-07       & 3.368695e-05       & Cttnbp2           \\\\\n",
       "\t ENSMUSG00000000420 &  3554.753276       &  0.2553115         & -3.232391          & 1.227588e-03       & 1.514909e-02       & Galnt1            \\\\\n",
       "\t ENSMUSG00000000627 &  4476.218886       &  0.2718751         & -2.310253          & 2.087415e-02       & 1.067084e-01       & Sema4f            \\\\\n",
       "\t ENSMUSG00000000628 &   319.764340       &  0.4280945         & -2.946737          & 3.211462e-03       & 2.997037e-02       & Hk2               \\\\\n",
       "\t ENSMUSG00000000682 &   484.846830       &  0.6266664         & -4.680273          & 2.864929e-06       & 1.121181e-04       & Cd52              \\\\\n",
       "\t ENSMUSG00000000730 &     7.627173       &  0.2362571         & -2.682550          & 7.306328e-03       &           NA       & Dnmt3l            \\\\\n",
       "\t ENSMUSG00000000743 &  4563.611985       & -0.2508448         &  2.641865          & 8.245084e-03       & 5.726458e-02       & Chmp1a            \\\\\n",
       "\t ENSMUSG00000000751 &  3874.653413       & -0.2331316         &  2.954892          & 3.127784e-03       & 2.945788e-02       & Rpa1              \\\\\n",
       "\t ENSMUSG00000000794 &    77.932213       & -0.2945470         &  2.003576          & 4.511548e-02       & 1.763317e-01       & Kcnn3             \\\\\n",
       "\t ENSMUSG00000001025 & 17006.747340       & -0.2574028         &  2.833605          & 4.602618e-03       & 3.874925e-02       & S100a6            \\\\\n",
       "\t ENSMUSG00000001280 &  2383.288580       &  0.2246021         & -2.467233          & 1.361619e-02       & 8.035354e-02       & Sp1               \\\\\n",
       "\t ENSMUSG00000001333 &  1162.464914       & -0.2255600         &  2.420478          & 1.550010e-02       & 8.749375e-02       & Sync              \\\\\n",
       "\t ENSMUSG00000001349 &   148.230383       &  0.6607889         & -4.841966          & 1.285610e-06       & 5.536844e-05       & Cnn1              \\\\\n",
       "\t ENSMUSG00000001380 &  7918.922528       &  0.1824277         & -2.565276          & 1.030939e-02       & 6.648355e-02       & Hars              \\\\\n",
       "\t ENSMUSG00000001415 &  4248.668568       & -0.2422268         &  2.539732          & 1.109373e-02       & 6.998002e-02       & Smg5              \\\\\n",
       "\t ENSMUSG00000001436 &  1263.258383       & -0.2358637         &  2.236040          & 2.534914e-02       & 1.219163e-01       & Slc19a1           \\\\\n",
       "\t ENSMUSG00000001700 &   311.687287       &  0.3393851         & -2.773708          & 5.542144e-03       & 4.412350e-02       & Gramd3            \\\\\n",
       "\t ENSMUSG00000001755 &  1499.568213       & -0.2106140         &  2.275383          & 2.288294e-02       & 1.134287e-01       & Coasy             \\\\\n",
       "\t ENSMUSG00000001774 &  4364.573704       &  0.2430831         & -2.494867          & 1.260045e-02       & 7.610440e-02       & Chordc1           \\\\\n",
       "\t ENSMUSG00000001847 & 12823.805954       &  0.1778602         & -2.162103          & 3.061020e-02       & 1.377861e-01       & Rac1              \\\\\n",
       "\t ENSMUSG00000001865 &   509.589410       &  0.4566291         & -3.556262          & 3.761693e-04       & 6.278402e-03       & Cpa3              \\\\\n",
       "\t ENSMUSG00000001870 &   762.307906       &  0.3557346         & -3.267733          & 1.084126e-03       & 1.391985e-02       & Ltbp1             \\\\\n",
       "\t ENSMUSG00000001909 &  1565.248475       & -0.2889704         &  3.250489          & 1.152069e-03       & 1.453099e-02       & Trmt1             \\\\\n",
       "\t ENSMUSG00000001911 &  1633.174086       &  0.2427731         & -2.141406          & 3.224132e-02       & 1.423618e-01       & Nfix              \\\\\n",
       "\t ENSMUSG00000001924 & 24575.966751       & -0.2108731         &  2.320610          & 2.030790e-02       & 1.048171e-01       & Uba1              \\\\\n",
       "\t ENSMUSG00000001964 &  1547.844892       &  0.1863153         & -2.199904          & 2.781371e-02       & 1.294123e-01       & Emd               \\\\\n",
       "\t ⋮ & ⋮ & ⋮ & ⋮ & ⋮ & ⋮ & ⋮\\\\\n",
       "\t ENSMUSG00000094335 &   20.686622        &  0.42640562        & -4.003223          & 6.248541e-05       & 0.0015043012       & Igkv1-117         \\\\\n",
       "\t ENSMUSG00000094546 &   64.161416        &  0.07526115        & -2.260089          & 2.381575e-02       & 0.1167772425       & Ighv1-26          \\\\\n",
       "\t ENSMUSG00000094626 &   22.445892        &  0.27654076        & -2.095705          & 3.610832e-02       & 0.1530875042       & Tmem121b          \\\\\n",
       "\t ENSMUSG00000094732 &    3.633133        &  0.14851581        & -3.182034          & 1.462445e-03       &           NA       & 1500015L24Rik     \\\\\n",
       "\t ENSMUSG00000094797 &   18.370489        &  0.35850328        & -4.275262          & 1.909123e-05       & 0.0005651862       & Igkv6-15          \\\\\n",
       "\t ENSMUSG00000095028 &   17.748802        &  0.22071387        & -1.964435          & 4.947964e-02       & 0.1864842910       & Sirpb1b           \\\\\n",
       "\t ENSMUSG00000095362 & 1014.129481        &  0.33930276        & -2.507800          & 1.214854e-02       & 0.0741588770       & Gm14325           \\\\\n",
       "\t ENSMUSG00000095918 &    8.390640        &  0.23178587        & -3.035931          & 2.397942e-03       &           NA       & Gm5861            \\\\\n",
       "\t ENSMUSG00000096403 &   29.135621        & -0.24779867        &  3.079376          & 2.074344e-03       & 0.0222366002       & Gm9825            \\\\\n",
       "\t ENSMUSG00000096459 &   14.669469        &  0.21227296        & -2.909286          & 3.622557e-03       & 0.0327782193       & Ighv9-3           \\\\\n",
       "\t ENSMUSG00000096490 &   51.152757        &  0.07584179        & -3.109132          & 1.876381e-03       & 0.0207369783       & Igkv10-94         \\\\\n",
       "\t ENSMUSG00000096715 &   16.382006        &  0.27253764        & -3.301588          & 9.613918e-04       & 0.0128043637       & Igkv3-4           \\\\\n",
       "\t ENSMUSG00000096780 &  124.903362        & -0.34382425        &  2.328241          & 1.989932e-02       & 0.1034559469       & Tmem181b-ps       \\\\\n",
       "\t ENSMUSG00000096847 & 2633.169634        & -0.42194215        &  3.709991          & 2.072666e-04       & 0.0039562996       & Tmem151b          \\\\\n",
       "\t ENSMUSG00000096931 &   35.233861        &  0.53532942        & -3.994924          & 6.471497e-05       & 0.0015406656       & Gm26656           \\\\\n",
       "\t ENSMUSG00000096965 &    2.868267        &  0.11022564        & -2.252913          & 2.426467e-02       &           NA       & 3300005D01Rik     \\\\\n",
       "\t ENSMUSG00000097047 &   29.021538        &  0.30269031        & -2.223309          & 2.619498e-02       & 0.1244824421       & 1110020A21Rik     \\\\\n",
       "\t ENSMUSG00000097180 &   53.448333        &  0.32390828        & -2.222511          & 2.624878e-02       & 0.1245999453       & 2700038G22Rik     \\\\\n",
       "\t ENSMUSG00000097357 &  107.212979        &  0.40217004        & -2.821819          & 4.775216e-03       & 0.0397528498       & Gm16793           \\\\\n",
       "\t ENSMUSG00000097375 &  196.255308        &  0.37877733        & -2.808336          & 4.979819e-03       & 0.0409592491       & 6720427I07Rik     \\\\\n",
       "\t ENSMUSG00000097404 &  101.130734        & -0.31233829        &  2.122148          & 3.382527e-02       & 0.1464508726       & Gm10814           \\\\\n",
       "\t ENSMUSG00000097466 &  145.564341        &  0.38068267        & -2.630043          & 8.537396e-03       & 0.0584890902       & D430036J16Rik     \\\\\n",
       "\t ENSMUSG00000097576 &   15.619078        &  0.25088628        & -2.140711          & 3.229731e-02       & 0.1424989027       & D930030I03Rik     \\\\\n",
       "\t ENSMUSG00000097622 &   63.268414        & -0.47408131        &  3.199273          & 1.377745e-03       & 0.0165030907       & A330033J07Rik     \\\\\n",
       "\t ENSMUSG00000097645 &   11.668458        &  0.20785568        & -2.153071          & 3.131308e-02       &           NA       & Gm26863           \\\\\n",
       "\t ENSMUSG00000097908 &  219.536423        & -0.28505132        &  2.258253          & 2.392987e-02       & 0.1171278958       & 4933404O12Rik     \\\\\n",
       "\t ENSMUSG00000098276 &    6.499809        &  0.22822696        & -3.102306          & 1.920195e-03       &           NA       & Mir6358           \\\\\n",
       "\t ENSMUSG00000098318 &   16.721908        &  0.24041191        & -2.126204          & 3.348625e-02       & 0.1454238144       & Lockd             \\\\\n",
       "\t ENSMUSG00000098482 &  192.980606        &  0.35082491        & -2.511948          & 1.200668e-02       & 0.0737129485       & Mir6363           \\\\\n",
       "\t ENSMUSG00000098973 & 3337.553280        &  0.48588812        & -3.340461          & 8.363935e-04       & 0.0114601289       & Mir6236           \\\\\n",
       "\\end{tabular}\n"
      ],
      "text/markdown": [
       "\n",
       "ensembl_gene_id | baseMean | log2FoldChange | stat | pvalue | padj | external_gene_name | \n",
       "|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|\n",
       "| ENSMUSG00000000214 |  4138.211600       | -0.6104918         |  6.070828          | 1.272524e-09       | 1.136059e-07       | Th                 | \n",
       "| ENSMUSG00000000278 |  2246.095680       |  0.8200463         | -9.477766          | 2.597862e-21       | 6.646262e-19       | Scpep1             | \n",
       "| ENSMUSG00000000308 |  9818.688762       | -0.2338556         |  2.821715          | 4.776759e-03       | 3.975285e-02       | Ckmt1              | \n",
       "| ENSMUSG00000000320 |   155.787128       |  0.2876111         | -1.986710          | 4.695454e-02       | 1.806179e-01       | Alox12             | \n",
       "| ENSMUSG00000000416 |  1155.098102       |  0.5420341         | -4.956080          | 7.192943e-07       | 3.368695e-05       | Cttnbp2            | \n",
       "| ENSMUSG00000000420 |  3554.753276       |  0.2553115         | -3.232391          | 1.227588e-03       | 1.514909e-02       | Galnt1             | \n",
       "| ENSMUSG00000000627 |  4476.218886       |  0.2718751         | -2.310253          | 2.087415e-02       | 1.067084e-01       | Sema4f             | \n",
       "| ENSMUSG00000000628 |   319.764340       |  0.4280945         | -2.946737          | 3.211462e-03       | 2.997037e-02       | Hk2                | \n",
       "| ENSMUSG00000000682 |   484.846830       |  0.6266664         | -4.680273          | 2.864929e-06       | 1.121181e-04       | Cd52               | \n",
       "| ENSMUSG00000000730 |     7.627173       |  0.2362571         | -2.682550          | 7.306328e-03       |           NA       | Dnmt3l             | \n",
       "| ENSMUSG00000000743 |  4563.611985       | -0.2508448         |  2.641865          | 8.245084e-03       | 5.726458e-02       | Chmp1a             | \n",
       "| ENSMUSG00000000751 |  3874.653413       | -0.2331316         |  2.954892          | 3.127784e-03       | 2.945788e-02       | Rpa1               | \n",
       "| ENSMUSG00000000794 |    77.932213       | -0.2945470         |  2.003576          | 4.511548e-02       | 1.763317e-01       | Kcnn3              | \n",
       "| ENSMUSG00000001025 | 17006.747340       | -0.2574028         |  2.833605          | 4.602618e-03       | 3.874925e-02       | S100a6             | \n",
       "| ENSMUSG00000001280 |  2383.288580       |  0.2246021         | -2.467233          | 1.361619e-02       | 8.035354e-02       | Sp1                | \n",
       "| ENSMUSG00000001333 |  1162.464914       | -0.2255600         |  2.420478          | 1.550010e-02       | 8.749375e-02       | Sync               | \n",
       "| ENSMUSG00000001349 |   148.230383       |  0.6607889         | -4.841966          | 1.285610e-06       | 5.536844e-05       | Cnn1               | \n",
       "| ENSMUSG00000001380 |  7918.922528       |  0.1824277         | -2.565276          | 1.030939e-02       | 6.648355e-02       | Hars               | \n",
       "| ENSMUSG00000001415 |  4248.668568       | -0.2422268         |  2.539732          | 1.109373e-02       | 6.998002e-02       | Smg5               | \n",
       "| ENSMUSG00000001436 |  1263.258383       | -0.2358637         |  2.236040          | 2.534914e-02       | 1.219163e-01       | Slc19a1            | \n",
       "| ENSMUSG00000001700 |   311.687287       |  0.3393851         | -2.773708          | 5.542144e-03       | 4.412350e-02       | Gramd3             | \n",
       "| ENSMUSG00000001755 |  1499.568213       | -0.2106140         |  2.275383          | 2.288294e-02       | 1.134287e-01       | Coasy              | \n",
       "| ENSMUSG00000001774 |  4364.573704       |  0.2430831         | -2.494867          | 1.260045e-02       | 7.610440e-02       | Chordc1            | \n",
       "| ENSMUSG00000001847 | 12823.805954       |  0.1778602         | -2.162103          | 3.061020e-02       | 1.377861e-01       | Rac1               | \n",
       "| ENSMUSG00000001865 |   509.589410       |  0.4566291         | -3.556262          | 3.761693e-04       | 6.278402e-03       | Cpa3               | \n",
       "| ENSMUSG00000001870 |   762.307906       |  0.3557346         | -3.267733          | 1.084126e-03       | 1.391985e-02       | Ltbp1              | \n",
       "| ENSMUSG00000001909 |  1565.248475       | -0.2889704         |  3.250489          | 1.152069e-03       | 1.453099e-02       | Trmt1              | \n",
       "| ENSMUSG00000001911 |  1633.174086       |  0.2427731         | -2.141406          | 3.224132e-02       | 1.423618e-01       | Nfix               | \n",
       "| ENSMUSG00000001924 | 24575.966751       | -0.2108731         |  2.320610          | 2.030790e-02       | 1.048171e-01       | Uba1               | \n",
       "| ENSMUSG00000001964 |  1547.844892       |  0.1863153         | -2.199904          | 2.781371e-02       | 1.294123e-01       | Emd                | \n",
       "| ⋮ | ⋮ | ⋮ | ⋮ | ⋮ | ⋮ | ⋮ | \n",
       "| ENSMUSG00000094335 |   20.686622        |  0.42640562        | -4.003223          | 6.248541e-05       | 0.0015043012       | Igkv1-117          | \n",
       "| ENSMUSG00000094546 |   64.161416        |  0.07526115        | -2.260089          | 2.381575e-02       | 0.1167772425       | Ighv1-26           | \n",
       "| ENSMUSG00000094626 |   22.445892        |  0.27654076        | -2.095705          | 3.610832e-02       | 0.1530875042       | Tmem121b           | \n",
       "| ENSMUSG00000094732 |    3.633133        |  0.14851581        | -3.182034          | 1.462445e-03       |           NA       | 1500015L24Rik      | \n",
       "| ENSMUSG00000094797 |   18.370489        |  0.35850328        | -4.275262          | 1.909123e-05       | 0.0005651862       | Igkv6-15           | \n",
       "| ENSMUSG00000095028 |   17.748802        |  0.22071387        | -1.964435          | 4.947964e-02       | 0.1864842910       | Sirpb1b            | \n",
       "| ENSMUSG00000095362 | 1014.129481        |  0.33930276        | -2.507800          | 1.214854e-02       | 0.0741588770       | Gm14325            | \n",
       "| ENSMUSG00000095918 |    8.390640        |  0.23178587        | -3.035931          | 2.397942e-03       |           NA       | Gm5861             | \n",
       "| ENSMUSG00000096403 |   29.135621        | -0.24779867        |  3.079376          | 2.074344e-03       | 0.0222366002       | Gm9825             | \n",
       "| ENSMUSG00000096459 |   14.669469        |  0.21227296        | -2.909286          | 3.622557e-03       | 0.0327782193       | Ighv9-3            | \n",
       "| ENSMUSG00000096490 |   51.152757        |  0.07584179        | -3.109132          | 1.876381e-03       | 0.0207369783       | Igkv10-94          | \n",
       "| ENSMUSG00000096715 |   16.382006        |  0.27253764        | -3.301588          | 9.613918e-04       | 0.0128043637       | Igkv3-4            | \n",
       "| ENSMUSG00000096780 |  124.903362        | -0.34382425        |  2.328241          | 1.989932e-02       | 0.1034559469       | Tmem181b-ps        | \n",
       "| ENSMUSG00000096847 | 2633.169634        | -0.42194215        |  3.709991          | 2.072666e-04       | 0.0039562996       | Tmem151b           | \n",
       "| ENSMUSG00000096931 |   35.233861        |  0.53532942        | -3.994924          | 6.471497e-05       | 0.0015406656       | Gm26656            | \n",
       "| ENSMUSG00000096965 |    2.868267        |  0.11022564        | -2.252913          | 2.426467e-02       |           NA       | 3300005D01Rik      | \n",
       "| ENSMUSG00000097047 |   29.021538        |  0.30269031        | -2.223309          | 2.619498e-02       | 0.1244824421       | 1110020A21Rik      | \n",
       "| ENSMUSG00000097180 |   53.448333        |  0.32390828        | -2.222511          | 2.624878e-02       | 0.1245999453       | 2700038G22Rik      | \n",
       "| ENSMUSG00000097357 |  107.212979        |  0.40217004        | -2.821819          | 4.775216e-03       | 0.0397528498       | Gm16793            | \n",
       "| ENSMUSG00000097375 |  196.255308        |  0.37877733        | -2.808336          | 4.979819e-03       | 0.0409592491       | 6720427I07Rik      | \n",
       "| ENSMUSG00000097404 |  101.130734        | -0.31233829        |  2.122148          | 3.382527e-02       | 0.1464508726       | Gm10814            | \n",
       "| ENSMUSG00000097466 |  145.564341        |  0.38068267        | -2.630043          | 8.537396e-03       | 0.0584890902       | D430036J16Rik      | \n",
       "| ENSMUSG00000097576 |   15.619078        |  0.25088628        | -2.140711          | 3.229731e-02       | 0.1424989027       | D930030I03Rik      | \n",
       "| ENSMUSG00000097622 |   63.268414        | -0.47408131        |  3.199273          | 1.377745e-03       | 0.0165030907       | A330033J07Rik      | \n",
       "| ENSMUSG00000097645 |   11.668458        |  0.20785568        | -2.153071          | 3.131308e-02       |           NA       | Gm26863            | \n",
       "| ENSMUSG00000097908 |  219.536423        | -0.28505132        |  2.258253          | 2.392987e-02       | 0.1171278958       | 4933404O12Rik      | \n",
       "| ENSMUSG00000098276 |    6.499809        |  0.22822696        | -3.102306          | 1.920195e-03       |           NA       | Mir6358            | \n",
       "| ENSMUSG00000098318 |   16.721908        |  0.24041191        | -2.126204          | 3.348625e-02       | 0.1454238144       | Lockd              | \n",
       "| ENSMUSG00000098482 |  192.980606        |  0.35082491        | -2.511948          | 1.200668e-02       | 0.0737129485       | Mir6363            | \n",
       "| ENSMUSG00000098973 | 3337.553280        |  0.48588812        | -3.340461          | 8.363935e-04       | 0.0114601289       | Mir6236            | \n",
       "\n",
       "\n"
      ],
      "text/plain": [
       "     ensembl_gene_id    baseMean     log2FoldChange stat      pvalue      \n",
       "1    ENSMUSG00000000214  4138.211600 -0.6104918      6.070828 1.272524e-09\n",
       "2    ENSMUSG00000000278  2246.095680  0.8200463     -9.477766 2.597862e-21\n",
       "3    ENSMUSG00000000308  9818.688762 -0.2338556      2.821715 4.776759e-03\n",
       "4    ENSMUSG00000000320   155.787128  0.2876111     -1.986710 4.695454e-02\n",
       "5    ENSMUSG00000000416  1155.098102  0.5420341     -4.956080 7.192943e-07\n",
       "6    ENSMUSG00000000420  3554.753276  0.2553115     -3.232391 1.227588e-03\n",
       "7    ENSMUSG00000000627  4476.218886  0.2718751     -2.310253 2.087415e-02\n",
       "8    ENSMUSG00000000628   319.764340  0.4280945     -2.946737 3.211462e-03\n",
       "9    ENSMUSG00000000682   484.846830  0.6266664     -4.680273 2.864929e-06\n",
       "10   ENSMUSG00000000730     7.627173  0.2362571     -2.682550 7.306328e-03\n",
       "11   ENSMUSG00000000743  4563.611985 -0.2508448      2.641865 8.245084e-03\n",
       "12   ENSMUSG00000000751  3874.653413 -0.2331316      2.954892 3.127784e-03\n",
       "13   ENSMUSG00000000794    77.932213 -0.2945470      2.003576 4.511548e-02\n",
       "14   ENSMUSG00000001025 17006.747340 -0.2574028      2.833605 4.602618e-03\n",
       "15   ENSMUSG00000001280  2383.288580  0.2246021     -2.467233 1.361619e-02\n",
       "16   ENSMUSG00000001333  1162.464914 -0.2255600      2.420478 1.550010e-02\n",
       "17   ENSMUSG00000001349   148.230383  0.6607889     -4.841966 1.285610e-06\n",
       "18   ENSMUSG00000001380  7918.922528  0.1824277     -2.565276 1.030939e-02\n",
       "19   ENSMUSG00000001415  4248.668568 -0.2422268      2.539732 1.109373e-02\n",
       "20   ENSMUSG00000001436  1263.258383 -0.2358637      2.236040 2.534914e-02\n",
       "21   ENSMUSG00000001700   311.687287  0.3393851     -2.773708 5.542144e-03\n",
       "22   ENSMUSG00000001755  1499.568213 -0.2106140      2.275383 2.288294e-02\n",
       "23   ENSMUSG00000001774  4364.573704  0.2430831     -2.494867 1.260045e-02\n",
       "24   ENSMUSG00000001847 12823.805954  0.1778602     -2.162103 3.061020e-02\n",
       "25   ENSMUSG00000001865   509.589410  0.4566291     -3.556262 3.761693e-04\n",
       "26   ENSMUSG00000001870   762.307906  0.3557346     -3.267733 1.084126e-03\n",
       "27   ENSMUSG00000001909  1565.248475 -0.2889704      3.250489 1.152069e-03\n",
       "28   ENSMUSG00000001911  1633.174086  0.2427731     -2.141406 3.224132e-02\n",
       "29   ENSMUSG00000001924 24575.966751 -0.2108731      2.320610 2.030790e-02\n",
       "30   ENSMUSG00000001964  1547.844892  0.1863153     -2.199904 2.781371e-02\n",
       "⋮    ⋮                  ⋮            ⋮              ⋮         ⋮           \n",
       "1155 ENSMUSG00000094335   20.686622   0.42640562    -4.003223 6.248541e-05\n",
       "1156 ENSMUSG00000094546   64.161416   0.07526115    -2.260089 2.381575e-02\n",
       "1157 ENSMUSG00000094626   22.445892   0.27654076    -2.095705 3.610832e-02\n",
       "1158 ENSMUSG00000094732    3.633133   0.14851581    -3.182034 1.462445e-03\n",
       "1159 ENSMUSG00000094797   18.370489   0.35850328    -4.275262 1.909123e-05\n",
       "1160 ENSMUSG00000095028   17.748802   0.22071387    -1.964435 4.947964e-02\n",
       "1161 ENSMUSG00000095362 1014.129481   0.33930276    -2.507800 1.214854e-02\n",
       "1162 ENSMUSG00000095918    8.390640   0.23178587    -3.035931 2.397942e-03\n",
       "1163 ENSMUSG00000096403   29.135621  -0.24779867     3.079376 2.074344e-03\n",
       "1164 ENSMUSG00000096459   14.669469   0.21227296    -2.909286 3.622557e-03\n",
       "1165 ENSMUSG00000096490   51.152757   0.07584179    -3.109132 1.876381e-03\n",
       "1166 ENSMUSG00000096715   16.382006   0.27253764    -3.301588 9.613918e-04\n",
       "1167 ENSMUSG00000096780  124.903362  -0.34382425     2.328241 1.989932e-02\n",
       "1168 ENSMUSG00000096847 2633.169634  -0.42194215     3.709991 2.072666e-04\n",
       "1169 ENSMUSG00000096931   35.233861   0.53532942    -3.994924 6.471497e-05\n",
       "1170 ENSMUSG00000096965    2.868267   0.11022564    -2.252913 2.426467e-02\n",
       "1171 ENSMUSG00000097047   29.021538   0.30269031    -2.223309 2.619498e-02\n",
       "1172 ENSMUSG00000097180   53.448333   0.32390828    -2.222511 2.624878e-02\n",
       "1173 ENSMUSG00000097357  107.212979   0.40217004    -2.821819 4.775216e-03\n",
       "1174 ENSMUSG00000097375  196.255308   0.37877733    -2.808336 4.979819e-03\n",
       "1175 ENSMUSG00000097404  101.130734  -0.31233829     2.122148 3.382527e-02\n",
       "1176 ENSMUSG00000097466  145.564341   0.38068267    -2.630043 8.537396e-03\n",
       "1177 ENSMUSG00000097576   15.619078   0.25088628    -2.140711 3.229731e-02\n",
       "1178 ENSMUSG00000097622   63.268414  -0.47408131     3.199273 1.377745e-03\n",
       "1179 ENSMUSG00000097645   11.668458   0.20785568    -2.153071 3.131308e-02\n",
       "1180 ENSMUSG00000097908  219.536423  -0.28505132     2.258253 2.392987e-02\n",
       "1181 ENSMUSG00000098276    6.499809   0.22822696    -3.102306 1.920195e-03\n",
       "1182 ENSMUSG00000098318   16.721908   0.24041191    -2.126204 3.348625e-02\n",
       "1183 ENSMUSG00000098482  192.980606   0.35082491    -2.511948 1.200668e-02\n",
       "1184 ENSMUSG00000098973 3337.553280   0.48588812    -3.340461 8.363935e-04\n",
       "     padj         external_gene_name\n",
       "1    1.136059e-07 Th                \n",
       "2    6.646262e-19 Scpep1            \n",
       "3    3.975285e-02 Ckmt1             \n",
       "4    1.806179e-01 Alox12            \n",
       "5    3.368695e-05 Cttnbp2           \n",
       "6    1.514909e-02 Galnt1            \n",
       "7    1.067084e-01 Sema4f            \n",
       "8    2.997037e-02 Hk2               \n",
       "9    1.121181e-04 Cd52              \n",
       "10             NA Dnmt3l            \n",
       "11   5.726458e-02 Chmp1a            \n",
       "12   2.945788e-02 Rpa1              \n",
       "13   1.763317e-01 Kcnn3             \n",
       "14   3.874925e-02 S100a6            \n",
       "15   8.035354e-02 Sp1               \n",
       "16   8.749375e-02 Sync              \n",
       "17   5.536844e-05 Cnn1              \n",
       "18   6.648355e-02 Hars              \n",
       "19   6.998002e-02 Smg5              \n",
       "20   1.219163e-01 Slc19a1           \n",
       "21   4.412350e-02 Gramd3            \n",
       "22   1.134287e-01 Coasy             \n",
       "23   7.610440e-02 Chordc1           \n",
       "24   1.377861e-01 Rac1              \n",
       "25   6.278402e-03 Cpa3              \n",
       "26   1.391985e-02 Ltbp1             \n",
       "27   1.453099e-02 Trmt1             \n",
       "28   1.423618e-01 Nfix              \n",
       "29   1.048171e-01 Uba1              \n",
       "30   1.294123e-01 Emd               \n",
       "⋮    ⋮            ⋮                 \n",
       "1155 0.0015043012 Igkv1-117         \n",
       "1156 0.1167772425 Ighv1-26          \n",
       "1157 0.1530875042 Tmem121b          \n",
       "1158           NA 1500015L24Rik     \n",
       "1159 0.0005651862 Igkv6-15          \n",
       "1160 0.1864842910 Sirpb1b           \n",
       "1161 0.0741588770 Gm14325           \n",
       "1162           NA Gm5861            \n",
       "1163 0.0222366002 Gm9825            \n",
       "1164 0.0327782193 Ighv9-3           \n",
       "1165 0.0207369783 Igkv10-94         \n",
       "1166 0.0128043637 Igkv3-4           \n",
       "1167 0.1034559469 Tmem181b-ps       \n",
       "1168 0.0039562996 Tmem151b          \n",
       "1169 0.0015406656 Gm26656           \n",
       "1170           NA 3300005D01Rik     \n",
       "1171 0.1244824421 1110020A21Rik     \n",
       "1172 0.1245999453 2700038G22Rik     \n",
       "1173 0.0397528498 Gm16793           \n",
       "1174 0.0409592491 6720427I07Rik     \n",
       "1175 0.1464508726 Gm10814           \n",
       "1176 0.0584890902 D430036J16Rik     \n",
       "1177 0.1424989027 D930030I03Rik     \n",
       "1178 0.0165030907 A330033J07Rik     \n",
       "1179           NA Gm26863           \n",
       "1180 0.1171278958 4933404O12Rik     \n",
       "1181           NA Mir6358           \n",
       "1182 0.1454238144 Lockd             \n",
       "1183 0.0737129485 Mir6363           \n",
       "1184 0.0114601289 Mir6236           "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "%preview -n annotated\n",
    "library(biomaRt)\n",
    "ensembl <- useEnsembl(biomart='ensembl')\n",
    "#listDatasets(ensembl)\n",
    "ensembl <- useEnsembl(biomart=\"ensembl\", dataset=\"mmusculus_gene_ensembl\")\n",
    "                     \n",
    "hgnc <- getBM(attributes=c('ensembl_gene_id', 'external_gene_name'),\n",
    "        filters = 'ensembl_gene_id', values = data['ensembl_gene_id'], mart = ensembl)\n",
    "\n",
    "annotated <- merge(data, hgnc, by='ensembl_gene_id', all.x=TRUE)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "kernel": "R"
   },
   "source": [
    "We can also draw some plot and preview the result. Instead of displaying the result directly in the notebook, the R code saves the image in a file (so that it can be shared with others separately) and use the `%preview` magic to display it in the notebook. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "kernel": "R"
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<strong>pdf:</strong> 2"
      ],
      "text/latex": [
       "\\textbf{pdf:} 2"
      ],
      "text/markdown": [
       "**pdf:** 2"
      ],
      "text/plain": [
       "pdf \n",
       "  2 "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<div class=\"sos_hint\">%preview result.png</div>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<div class=\"sos_hint\">> result.png (22.0 KiB):</div>"
      ],
      "text/plain": [
       "\n",
       "> result.png (22.0 KiB):"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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"
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "%preview -n result.png\n",
    "png('result.png')\n",
    "plot(annotated$log2FoldChange, log2(annotated$pvalue),\n",
    "    xlab='Fold Change (log2)', ylab='P-value (log2)')\n",
    "dev.off()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "kernel": "R"
   },
   "source": [
    "After we confirm that the result is correct, we can transfer the data back to Python and write in excel format."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "kernel": "Python3"
   },
   "outputs": [],
   "source": [
    "%get annotated --from R\n",
    "annotated = annotated.set_index('external_gene_name')\n",
    "annotated.sort_values(by='padj', inplace=True)\n",
    "annotated.to_excel('annotated_DEG_list.xlsx')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "kernel": "Python3"
   },
   "source": [
    "## Session Info"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "kernel": "Python3"
   },
   "source": [
    "As a good practice, a `%sessioninfo` magic should be used at the end of all SoS Notebooks to show the session information of all kernels involved."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "kernel": "SoS"
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<p class=\"session_section\">SoS</p>\n",
       "<table class=\"session_info\">\n",
       "<tr>\n",
       "<th>SoS Version</th><td><pre>0.16.12</pre></td>\n",
       "</tr>\n",
       "</table>\n",
       "<p class=\"session_section\">Python3</p>\n",
       "<table class=\"session_info\">\n",
       "<tr>\n",
       "<th>Kernel</th><td><pre>python3</pre></td>\n",
       "</tr>\n",
       "<tr>\n",
       "<th>Language</th><td><pre>Python3</pre></td>\n",
       "</tr>\n",
       "<tr>\n",
       "<th>Version</th><td><pre>3.6.6 |Anaconda, Inc.| (default, Jun 28 2018, 11:07:29) \n",
       "[GCC 4.2.1 Compatible Clang 4.0.1 (tags/RELEASE_401/final)]</pre></td>\n",
       "</tr>\n",
       "<tr>\n",
       "<th>pandas</th><td><pre>0.23.4</pre></td>\n",
       "</tr>\n",
       "</table>\n",
       "<p class=\"session_section\">R</p>\n",
       "<table class=\"session_info\">\n",
       "<tr>\n",
       "<th>Kernel</th><td><pre>ir</pre></td>\n",
       "</tr>\n",
       "<tr>\n",
       "<th>Language</th><td><pre>R</pre></td>\n",
       "</tr>\n",
       "<tr>\n",
       "<td colspan=\"2\"><pre>R version 3.4.2 (2017-09-28)\n",
       "Platform: x86_64-apple-darwin15.6.0 (64-bit)\n",
       "Running under: macOS Sierra 10.12.5\n",
       "\n",
       "Matrix products: default\n",
       "BLAS: /Library/Frameworks/R.framework/Versions/3.4/Resources/lib/libRblas.0.dylib\n",
       "LAPACK: /Library/Frameworks/R.framework/Versions/3.4/Resources/lib/libRlapack.dylib\n",
       "\n",
       "locale:\n",
       "[1] en_US.UTF-8/en_US.UTF-8/en_US.UTF-8/C/en_US.UTF-8/en_US.UTF-8\n",
       "\n",
       "attached base packages:\n",
       "[1] stats     graphics  grDevices utils     datasets  methods   base     \n",
       "\n",
       "other attached packages:\n",
       "[1] biomaRt_2.34.2 feather_0.3.1 \n",
       "\n",
       "loaded via a namespace (and not attached):\n",
       " [1] Rcpp_0.12.18         pillar_1.3.0         compiler_3.4.2      \n",
       " [4] prettyunits_1.0.2    progress_1.2.0       bitops_1.0-6        \n",
       " [7] base64enc_0.1-3      tools_3.4.2          digest_0.6.15       \n",
       "[10] uuid_0.1-2           bit_1.1-14           jsonlite_1.5        \n",
       "[13] evaluate_0.11        RSQLite_2.1.1        memoise_1.1.0       \n",
       "[16] tibble_1.4.2         pkgconfig_2.0.2      rlang_0.2.2         \n",
       "[19] IRdisplay_0.5.0      DBI_1.0.0            curl_3.2            \n",
       "[22] IRkernel_0.8.12.9000 parallel_3.4.2       httr_1.3.1          \n",
       "[25] repr_0.15.0          stringr_1.3.1        S4Vectors_0.16.0    \n",
       "[28] hms_0.4.2            IRanges_2.12.0       stats4_3.4.2        \n",
       "[31] bit64_0.9-7          Biobase_2.38.0       R6_2.2.2            \n",
       "[34] AnnotationDbi_1.40.0 XML_3.98-1.16        pbdZMQ_0.3-3        \n",
       "[37] blob_1.1.1           magrittr_1.5         htmltools_0.3.6     \n",
       "[40] BiocGenerics_0.24.0  assertthat_0.2.0     stringi_1.2.4       \n",
       "[43] RCurl_1.95-4.11      crayon_1.3.4        </pre></td>\n",
       "</tr>\n",
       "</table>\n"
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