{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "# Introduction" ] }, { "cell_type": "code", "execution_count": 1, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ ">> clustergrammer2 backend version 0.5.22\n" ] } ], "source": [ "from clustergrammer2 import net, Network\n", "df = {}" ] }, { "cell_type": "code", "execution_count": 2, "metadata": {}, "outputs": [], "source": [ "net.load_file('rc_two_cats.txt')\n", "df['ini'] = net.export_df()" ] }, { "cell_type": "code", "execution_count": 3, "metadata": {}, "outputs": [ { "data": { "application/vnd.jupyter.widget-view+json": { "model_id": "092ed7a39eef41fdaeed95002ef1981f", "version_major": 2, "version_minor": 0 }, "text/plain": [ "ExampleWidget(network='{\"row_nodes\": [{\"name\": \"Gene: CDK4\", \"ini\": 38, \"clust\": 14, \"rank\": 30, \"rankvar\": 20…" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "net.load_df(df['ini'])\n", "net.widget()" ] }, { "cell_type": "code", "execution_count": 4, "metadata": {}, "outputs": [ { "data": { "application/vnd.jupyter.widget-view+json": { "model_id": "378d38f3a329464899c4352f3a516e97", "version_major": 2, "version_minor": 0 }, "text/plain": [ "ExampleWidget(network='{\"row_nodes\": [{\"name\": \"Gene: CDK4\", \"ini\": 38, \"clust\": 29, \"rank\": 24, \"rankvar\": 20…" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "net.load_df(df['ini'])\n", "net.normalize(axis='row', norm_type='zscore')\n", "net.widget()" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": 12, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "'7.5.1'" ] }, "execution_count": 12, "metadata": {}, "output_type": "execute_result" } ], "source": [ "import ipywidgets\n", "ipywidgets.__version__" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] } ], "metadata": { "kernelspec": { "display_name": "Python 3", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.6.5" }, "widgets": { "application/vnd.jupyter.widget-state+json": { "state": { "092ed7a39eef41fdaeed95002ef1981f": { "model_module": "clustergrammer2", "model_module_version": "^0.5.22", "model_name": "ExampleModel", "state": { "_model_module_version": "^0.5.22", "_view_module_version": "^0.5.22", "layout": "IPY_MODEL_f5f79c5561664a25a101ba0b82575625", "mat_string": "ini_mat_string", "network": "{\"row_nodes\": [{\"name\": \"Gene: CDK4\", \"ini\": 38, \"clust\": 14, \"rank\": 30, \"rankvar\": 20, \"cat-0\": \"Gene Type: Interesting\", \"cat_0_index\": 0, \"group\": [10.0, 9.0, 8.0, 5.0, 5.0, 3.0, 1.0, 1.0, 1.0, 1.0, 1.0]}, {\"name\": \"Gene: LMTK3\", \"ini\": 37, \"clust\": 20, \"rank\": 28, \"rankvar\": 24, \"cat-0\": \"Gene Type: Not Interesting\", \"cat_0_index\": 17, \"group\": [21.0, 20.0, 19.0, 13.0, 11.0, 5.0, 1.0, 1.0, 1.0, 1.0, 1.0]}, {\"name\": \"Gene: LRRK2\", \"ini\": 36, \"clust\": 26, \"rank\": 9, \"rankvar\": 10, \"cat-0\": \"Gene Type: Not Interesting\", \"cat_0_index\": 18, \"group\": [26.0, 25.0, 22.0, 16.0, 13.0, 6.0, 1.0, 1.0, 1.0, 1.0, 1.0]}, {\"name\": \"Gene: UHMK1\", \"ini\": 35, \"clust\": 25, \"rank\": 26, \"rankvar\": 14, \"cat-0\": \"Gene Type: Not Interesting\", \"cat_0_index\": 19, \"group\": [28.0, 27.0, 24.0, 18.0, 14.0, 6.0, 1.0, 1.0, 1.0, 1.0, 1.0]}, {\"name\": \"Gene: EGFR\", \"ini\": 34, \"clust\": 13, \"rank\": 33, \"rankvar\": 7, \"cat-0\": \"Gene Type: Interesting\", \"cat_0_index\": 1, \"group\": [12.0, 11.0, 10.0, 5.0, 5.0, 3.0, 1.0, 1.0, 1.0, 1.0, 1.0]}, {\"name\": \"Gene: STK32A\", \"ini\": 33, \"clust\": 32, \"rank\": 36, \"rankvar\": 32, \"cat-0\": \"Gene Type: Interesting\", \"cat_0_index\": 2, \"group\": [33.0, 32.0, 29.0, 22.0, 17.0, 8.0, 1.0, 1.0, 1.0, 1.0, 1.0]}, {\"name\": \"Gene: NRK\", \"ini\": 32, \"clust\": 15, \"rank\": 35, \"rankvar\": 33, \"cat-0\": \"Gene Type: Interesting\", \"cat_0_index\": 3, \"group\": [11.0, 10.0, 9.0, 5.0, 5.0, 3.0, 1.0, 1.0, 1.0, 1.0, 1.0]}, {\"name\": \"Gene: ERBB2\", \"ini\": 31, \"clust\": 34, \"rank\": 24, \"rankvar\": 9, \"cat-0\": \"Gene Type: Not Interesting\", \"cat_0_index\": 20, \"group\": [35.0, 34.0, 31.0, 23.0, 18.0, 8.0, 1.0, 1.0, 1.0, 1.0, 1.0]}, {\"name\": \"Gene: ERBB4\", \"ini\": 30, \"clust\": 30, \"rank\": 6, \"rankvar\": 2, \"cat-0\": \"Gene Type: Not Interesting\", \"cat_0_index\": 21, \"group\": [31.0, 30.0, 27.0, 20.0, 16.0, 7.0, 1.0, 1.0, 1.0, 1.0, 1.0]}, {\"name\": \"Gene: AAK1\", \"ini\": 29, \"clust\": 36, \"rank\": 18, \"rankvar\": 8, \"cat-0\": \"Gene Type: Not Interesting\", \"cat_0_index\": 22, \"group\": [37.0, 36.0, 33.0, 25.0, 19.0, 8.0, 1.0, 1.0, 1.0, 1.0, 1.0]}, {\"name\": \"Gene: SRPK3\", \"ini\": 28, \"clust\": 4, \"rank\": 8, \"rankvar\": 15, \"cat-0\": \"Gene Type: Not Interesting\", \"cat_0_index\": 23, \"group\": [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0]}, {\"name\": \"Gene: STK39\", \"ini\": 27, \"clust\": 35, \"rank\": 7, \"rankvar\": 4, \"cat-0\": \"Gene Type: Interesting\", \"cat_0_index\": 4, \"group\": [36.0, 35.0, 32.0, 24.0, 18.0, 8.0, 1.0, 1.0, 1.0, 1.0, 1.0]}, {\"name\": \"Gene: GRK4\", \"ini\": 26, \"clust\": 3, \"rank\": 1, \"rankvar\": 3, \"cat-0\": \"Gene Type: Not Interesting\", \"cat_0_index\": 24, \"group\": [3.0, 2.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0]}, {\"name\": \"Gene: TBK1\", \"ini\": 25, \"clust\": 12, \"rank\": 34, \"rankvar\": 26, \"cat-0\": \"Gene Type: Not Interesting\", \"cat_0_index\": 25, \"group\": [13.0, 12.0, 11.0, 6.0, 5.0, 3.0, 1.0, 1.0, 1.0, 1.0, 1.0]}, {\"name\": \"Gene: INSRR\", \"ini\": 24, \"clust\": 23, \"rank\": 13, \"rankvar\": 5, \"cat-0\": \"Gene Type: Not Interesting\", \"cat_0_index\": 26, \"group\": [23.0, 22.0, 20.0, 14.0, 12.0, 6.0, 1.0, 1.0, 1.0, 1.0, 1.0]}, {\"name\": \"Gene: IRAK1\", \"ini\": 23, \"clust\": 11, \"rank\": 20, \"rankvar\": 30, \"cat-0\": \"Gene Type: Interesting\", \"cat_0_index\": 5, \"group\": [14.0, 13.0, 12.0, 7.0, 6.0, 3.0, 1.0, 1.0, 1.0, 1.0, 1.0]}, {\"name\": \"Gene: KDR\", \"ini\": 22, \"clust\": 33, \"rank\": 19, \"rankvar\": 11, \"cat-0\": \"Gene Type: Not Interesting\", \"cat_0_index\": 27, \"group\": [34.0, 33.0, 30.0, 22.0, 17.0, 8.0, 1.0, 1.0, 1.0, 1.0, 1.0]}, {\"name\": \"Gene: NPR1\", \"ini\": 21, \"clust\": 16, \"rank\": 27, \"rankvar\": 29, \"cat-0\": \"Gene Type: Interesting\", \"cat_0_index\": 6, \"group\": [20.0, 19.0, 18.0, 12.0, 10.0, 4.0, 1.0, 1.0, 1.0, 1.0, 1.0]}, {\"name\": \"Gene: PAK3\", \"ini\": 20, \"clust\": 9, \"rank\": 11, \"rankvar\": 12, \"cat-0\": \"Gene Type: Not Interesting\", \"cat_0_index\": 28, \"group\": [16.0, 15.0, 14.0, 9.0, 8.0, 3.0, 1.0, 1.0, 1.0, 1.0, 1.0]}, {\"name\": \"Gene: PDGFRA\", \"ini\": 19, \"clust\": 7, \"rank\": 2, \"rankvar\": 0, \"cat-0\": \"Gene Type: Interesting\", \"cat_0_index\": 7, \"group\": [7.0, 6.0, 5.0, 3.0, 3.0, 2.0, 1.0, 1.0, 1.0, 1.0, 1.0]}, {\"name\": \"Gene: PDK4\", \"ini\": 18, \"clust\": 24, \"rank\": 22, \"rankvar\": 22, \"cat-0\": \"Gene Type: Not Interesting\", \"cat_0_index\": 29, \"group\": [24.0, 23.0, 20.0, 14.0, 12.0, 6.0, 1.0, 1.0, 1.0, 1.0, 1.0]}, {\"name\": \"Gene: ULK4\", \"ini\": 17, \"clust\": 28, \"rank\": 16, \"rankvar\": 19, \"cat-0\": \"Gene Type: Interesting\", \"cat_0_index\": 8, \"group\": [29.0, 28.0, 25.0, 19.0, 15.0, 7.0, 1.0, 1.0, 1.0, 1.0, 1.0]}, {\"name\": \"Gene: PRKCE\", \"ini\": 16, \"clust\": 21, \"rank\": 14, \"rankvar\": 1, \"cat-0\": \"Gene Type: Not Interesting\", \"cat_0_index\": 30, \"group\": [22.0, 21.0, 19.0, 13.0, 11.0, 5.0, 1.0, 1.0, 1.0, 1.0, 1.0]}, {\"name\": \"Gene: PRKG2\", \"ini\": 15, \"clust\": 2, \"rank\": 25, \"rankvar\": 18, \"cat-0\": \"Gene Type: Not Interesting\", \"cat_0_index\": 31, \"group\": [4.0, 3.0, 2.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0]}, {\"name\": \"Gene: MAPK4\", \"ini\": 14, \"clust\": 18, \"rank\": 10, \"rankvar\": 16, \"cat-0\": \"Gene Type: Interesting\", \"cat_0_index\": 9, \"group\": [17.0, 16.0, 15.0, 10.0, 9.0, 4.0, 1.0, 1.0, 1.0, 1.0, 1.0]}, {\"name\": \"Gene: MAPK11\", \"ini\": 13, \"clust\": 8, \"rank\": 17, \"rankvar\": 34, \"cat-0\": \"Gene Type: Interesting\", \"cat_0_index\": 10, \"group\": [8.0, 7.0, 6.0, 3.0, 3.0, 2.0, 1.0, 1.0, 1.0, 1.0, 1.0]}, {\"name\": \"Gene: STK31\", \"ini\": 12, \"clust\": 31, \"rank\": 37, \"rankvar\": 31, \"cat-0\": \"Gene Type: Interesting\", \"cat_0_index\": 11, \"group\": [32.0, 31.0, 28.0, 21.0, 16.0, 7.0, 1.0, 1.0, 1.0, 1.0, 1.0]}, {\"name\": \"Gene: GRK1\", \"ini\": 11, \"clust\": 19, \"rank\": 15, \"rankvar\": 23, \"cat-0\": \"Gene Type: Not Interesting\", \"cat_0_index\": 32, \"group\": [18.0, 17.0, 16.0, 10.0, 9.0, 4.0, 1.0, 1.0, 1.0, 1.0, 1.0]}, {\"name\": \"Gene: ROS1\", \"ini\": 10, \"clust\": 37, \"rank\": 31, \"rankvar\": 37, \"cat-0\": \"Gene Type: Interesting\", \"cat_0_index\": 12, \"group\": [38.0, 37.0, 34.0, 26.0, 20.0, 8.0, 1.0, 1.0, 1.0, 1.0, 1.0]}, {\"name\": \"Gene: MAP2K4\", \"ini\": 9, \"clust\": 10, \"rank\": 23, \"rankvar\": 28, \"cat-0\": \"Gene Type: Interesting\", \"cat_0_index\": 13, \"group\": [15.0, 14.0, 13.0, 8.0, 7.0, 3.0, 1.0, 1.0, 1.0, 1.0, 1.0]}, {\"name\": \"Gene: SRC\", \"ini\": 8, \"clust\": 27, \"rank\": 21, \"rankvar\": 21, \"cat-0\": \"Gene Type: Interesting\", \"cat_0_index\": 14, \"group\": [27.0, 26.0, 23.0, 17.0, 13.0, 6.0, 1.0, 1.0, 1.0, 1.0, 1.0]}, {\"name\": \"Gene: TGFBR1\", \"ini\": 7, \"clust\": 17, \"rank\": 12, \"rankvar\": 13, \"cat-0\": \"Gene Type: Interesting\", \"cat_0_index\": 15, \"group\": [19.0, 18.0, 17.0, 11.0, 9.0, 4.0, 1.0, 1.0, 1.0, 1.0, 1.0]}, {\"name\": \"Gene: CAMK2B\", \"ini\": 6, \"clust\": 5, \"rank\": 3, \"rankvar\": 17, \"cat-0\": \"Gene Type: Not Interesting\", \"cat_0_index\": 33, \"group\": [2.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0]}, {\"name\": \"Gene: STK24\", \"ini\": 5, \"clust\": 6, \"rank\": 0, \"rankvar\": 36, \"cat-0\": \"Gene Type: Interesting\", \"cat_0_index\": 16, \"group\": [9.0, 8.0, 7.0, 4.0, 4.0, 2.0, 1.0, 1.0, 1.0, 1.0, 1.0]}, {\"name\": \"Gene: DCLK3\", \"ini\": 4, \"clust\": 1, \"rank\": 5, \"rankvar\": 25, \"cat-0\": \"Gene Type: Not Interesting\", \"cat_0_index\": 34, \"group\": [5.0, 4.0, 3.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0]}, {\"name\": \"Gene: LATS1\", \"ini\": 3, \"clust\": 22, \"rank\": 29, \"rankvar\": 27, \"cat-0\": \"Gene Type: Not Interesting\", \"cat_0_index\": 35, \"group\": [25.0, 24.0, 21.0, 15.0, 12.0, 6.0, 1.0, 1.0, 1.0, 1.0, 1.0]}, {\"name\": \"Gene: NEK9\", \"ini\": 2, \"clust\": 0, \"rank\": 4, \"rankvar\": 6, \"cat-0\": \"Gene Type: Not Interesting\", \"cat_0_index\": 36, \"group\": [6.0, 5.0, 4.0, 2.0, 2.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0]}, {\"name\": \"Gene: MYLK3\", \"ini\": 1, \"clust\": 29, \"rank\": 32, \"rankvar\": 35, \"cat-0\": \"Gene Type: Not Interesting\", \"cat_0_index\": 37, \"group\": [30.0, 29.0, 26.0, 19.0, 15.0, 7.0, 1.0, 1.0, 1.0, 1.0, 1.0]}], \"col_nodes\": [{\"name\": \"Cell Line: H1650\", \"ini\": 29, \"clust\": 12, \"rank\": 6, \"rankvar\": 4, \"cat-0\": \"Category: two\", \"cat_0_index\": 24, \"cat-1\": \"Gender: Male\", \"cat_1_index\": 10, \"group\": [15.0, 15.0, 15.0, 15.0, 12.0, 10.0, 5.0, 2.0, 1.0, 1.0, 1.0]}, {\"name\": \"Cell Line: H23\", \"ini\": 28, \"clust\": 2, \"rank\": 17, \"rankvar\": 8, \"cat-0\": \"Category: two\", \"cat_0_index\": 25, \"cat-1\": \"Gender: Male\", \"cat_1_index\": 11, \"group\": [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0]}, {\"name\": \"Cell Line: CAL-12T\", \"ini\": 27, \"clust\": 4, \"rank\": 10, \"rankvar\": 19, \"cat-0\": \"Category: two\", \"cat_0_index\": 26, \"cat-1\": \"Gender: Male\", \"cat_1_index\": 12, \"group\": [6.0, 6.0, 6.0, 6.0, 5.0, 4.0, 2.0, 1.0, 1.0, 1.0, 1.0]}, {\"name\": \"Cell Line: H358\", \"ini\": 26, \"clust\": 25, \"rank\": 4, \"rankvar\": 0, \"cat-0\": \"Category: one\", \"cat_0_index\": 13, \"cat-1\": \"Gender: Male\", \"cat_1_index\": 13, \"group\": [27.0, 27.0, 27.0, 26.0, 20.0, 15.0, 8.0, 4.0, 1.0, 1.0, 1.0]}, {\"name\": \"Cell Line: H1975\", \"ini\": 25, \"clust\": 22, \"rank\": 0, \"rankvar\": 24, \"cat-0\": \"Category: two\", \"cat_0_index\": 27, \"cat-1\": \"Gender: Female\", \"cat_1_index\": 0, \"group\": [28.0, 28.0, 28.0, 27.0, 21.0, 16.0, 9.0, 4.0, 1.0, 1.0, 1.0]}, {\"name\": \"Cell Line: HCC15\", \"ini\": 24, \"clust\": 1, \"rank\": 24, \"rankvar\": 20, \"cat-0\": \"Category: two\", \"cat_0_index\": 28, \"cat-1\": \"Gender: Male\", \"cat_1_index\": 14, \"group\": [3.0, 3.0, 3.0, 3.0, 3.0, 2.0, 1.0, 1.0, 1.0, 1.0, 1.0]}, {\"name\": \"Cell Line: H1355\", \"ini\": 23, \"clust\": 5, \"rank\": 9, \"rankvar\": 6, \"cat-0\": \"Category: three\", \"cat_0_index\": 19, \"cat-1\": \"Gender: Male\", \"cat_1_index\": 15, \"group\": [4.0, 4.0, 4.0, 4.0, 4.0, 3.0, 2.0, 1.0, 1.0, 1.0, 1.0]}, {\"name\": \"Cell Line: HCC827\", \"ini\": 22, \"clust\": 23, \"rank\": 28, \"rankvar\": 25, \"cat-0\": \"Category: one\", \"cat_0_index\": 14, \"cat-1\": \"Gender: Female\", \"cat_1_index\": 1, \"group\": [22.0, 22.0, 22.0, 22.0, 18.0, 14.0, 8.0, 4.0, 1.0, 1.0, 1.0]}, {\"name\": \"Cell Line: H2405\", \"ini\": 21, \"clust\": 20, \"rank\": 1, \"rankvar\": 12, \"cat-0\": \"Category: five\", \"cat_0_index\": 0, \"cat-1\": \"Gender: Male\", \"cat_1_index\": 16, \"group\": [19.0, 19.0, 19.0, 19.0, 15.0, 12.0, 7.0, 4.0, 1.0, 1.0, 1.0]}, {\"name\": \"Cell Line: HCC78\", \"ini\": 20, \"clust\": 21, \"rank\": 25, \"rankvar\": 27, \"cat-0\": \"Category: five\", \"cat_0_index\": 1, \"cat-1\": \"Gender: Male\", \"cat_1_index\": 17, \"group\": [20.0, 20.0, 20.0, 20.0, 16.0, 12.0, 7.0, 4.0, 1.0, 1.0, 1.0]}, {\"name\": \"Cell Line: H1666\", \"ini\": 19, \"clust\": 7, \"rank\": 18, \"rankvar\": 15, \"cat-0\": \"Category: four\", \"cat_0_index\": 6, \"cat-1\": \"Gender: Female\", \"cat_1_index\": 2, \"group\": [11.0, 11.0, 11.0, 11.0, 9.0, 8.0, 4.0, 1.0, 1.0, 1.0, 1.0]}, {\"name\": \"Cell Line: H661\", \"ini\": 18, \"clust\": 16, \"rank\": 3, \"rankvar\": 26, \"cat-0\": \"Category: five\", \"cat_0_index\": 2, \"cat-1\": \"Gender: Male\", \"cat_1_index\": 18, \"group\": [18.0, 18.0, 18.0, 18.0, 14.0, 11.0, 6.0, 3.0, 1.0, 1.0, 1.0]}, {\"name\": \"Cell Line: H838\", \"ini\": 17, \"clust\": 17, \"rank\": 7, \"rankvar\": 23, \"cat-0\": \"Category: five\", \"cat_0_index\": 3, \"cat-1\": \"Gender: Male\", \"cat_1_index\": 19, \"group\": [16.0, 16.0, 16.0, 16.0, 13.0, 11.0, 6.0, 3.0, 1.0, 1.0, 1.0]}, {\"name\": \"Cell Line: H1703\", \"ini\": 16, \"clust\": 14, \"rank\": 11, \"rankvar\": 21, \"cat-0\": \"Category: five\", \"cat_0_index\": 4, \"cat-1\": \"Gender: Male\", \"cat_1_index\": 20, \"group\": [12.0, 12.0, 12.0, 12.0, 10.0, 9.0, 5.0, 2.0, 1.0, 1.0, 1.0]}, {\"name\": \"Cell Line: CALU-3\", \"ini\": 15, \"clust\": 19, \"rank\": 8, \"rankvar\": 7, \"cat-0\": \"Category: four\", \"cat_0_index\": 7, \"cat-1\": \"Gender: Male\", \"cat_1_index\": 21, \"group\": [21.0, 21.0, 21.0, 21.0, 17.0, 13.0, 7.0, 4.0, 1.0, 1.0, 1.0]}, {\"name\": \"Cell Line: H2342\", \"ini\": 14, \"clust\": 18, \"rank\": 26, \"rankvar\": 22, \"cat-0\": \"Category: four\", \"cat_0_index\": 8, \"cat-1\": \"Gender: Female\", \"cat_1_index\": 3, \"group\": [17.0, 17.0, 17.0, 17.0, 13.0, 11.0, 6.0, 3.0, 1.0, 1.0, 1.0]}, {\"name\": \"Cell Line: H2228\", \"ini\": 13, \"clust\": 26, \"rank\": 2, \"rankvar\": 5, \"cat-0\": \"Category: one\", \"cat_0_index\": 15, \"cat-1\": \"Gender: Female\", \"cat_1_index\": 4, \"group\": [26.0, 26.0, 26.0, 25.0, 19.0, 15.0, 8.0, 4.0, 1.0, 1.0, 1.0]}, {\"name\": \"Cell Line: H1299\", \"ini\": 12, \"clust\": 15, \"rank\": 12, \"rankvar\": 1, \"cat-0\": \"Category: three\", \"cat_0_index\": 20, \"cat-1\": \"Gender: Male\", \"cat_1_index\": 22, \"group\": [13.0, 13.0, 13.0, 13.0, 10.0, 9.0, 5.0, 2.0, 1.0, 1.0, 1.0]}, {\"name\": \"Cell Line: H1792\", \"ini\": 11, \"clust\": 10, \"rank\": 20, 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