Working_on_new_API.ipynb

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   "source": [
    "# Working on new API\n",
    "The `clustergrammer_widget` class is now being loaded into the `Network` class. The class and widget instance are saved in th `Network` instance, `net`. This allows us to load data, cluster, and finally produce a new widget instance using the `widget` method. The instance of the widget is saved in `net` and can be used to grab the data from the clustergram as a Pandas DataFrame using the `widget_df` method. The exported DataFrame will reflect any filtering or imported categories that were added on the front end.\n",
    "\n",
    "In these examples, we will filter the matrix using the brush crop tool, export the filtered matrix as a DataFrame, and finally visualize this as a new clustergram widget. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
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   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import pandas as pd\n",
    "from clustergrammer_widget import *\n",
    "net = Network(clustergrammer_widget)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "deletable": true,
    "editable": true
   },
   "source": [
    "# Make widget using new API"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "collapsed": false,
    "deletable": true,
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   "outputs": [
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   "source": [
    "net.load_file('rc_two_cats.txt')\n",
    "net.cluster()\n",
    "net.widget()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "deletable": true,
    "editable": true
   },
   "source": [
    "Above, we have filtered the matrix to a region of interest using the brush cropping tool. Below we will get export this region of interest, defined on the front end, to a DataFrame, `df_genes`. This demonstrates the two-way communication capabilities of widgets. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "collapsed": false,
    "deletable": true,
    "editable": true
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   "outputs": [
    {
     "data": {
      "text/plain": [
       "(15, 10)"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
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   ],
   "source": [
    "df_genes = net.widget_df()\n",
    "df_genes.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "collapsed": false,
    "deletable": true,
    "editable": true
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   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "a643b2bff5ba45758237995f6e57a219"
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   ],
   "source": [
    "net.load_df(df_genes)\n",
    "net.cluster()\n",
    "net.widget()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "deletable": true,
    "editable": true
   },
   "source": [
    "Above, we made a new widget visualizing this region of interest. "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "deletable": true,
    "editable": true
   },
   "source": [
    "# Generate random DataFrame\n",
    "Here we will genrate a DataFrame with random data and visualize it using the widget."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "collapsed": true,
    "deletable": true,
    "editable": true
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   "outputs": [],
   "source": [
    "# generate random matrix\n",
    "num_rows = 500\n",
    "num_cols = 10\n",
    "np.random.seed(seed=100)\n",
    "mat = np.random.rand(num_rows, num_cols)\n",
    "\n",
    "# make row and col labels\n",
    "rows = range(num_rows)\n",
    "cols = range(num_cols)\n",
    "rows = [str(i) for i in rows]\n",
    "cols = [str(i) for i in cols]\n",
    "\n",
    "# make dataframe \n",
    "df = pd.DataFrame(data=mat, columns=cols, index=rows)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "collapsed": false,
    "deletable": true,
    "editable": true
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   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "9c9bbdd350474fe0afcff8becd95155f"
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     "output_type": "display_data"
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   ],
   "source": [
    "net.load_df(df)\n",
    "net.cluster()\n",
    "net.widget()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "deletable": true,
    "editable": true
   },
   "source": [
    "Above, we selected a region of interest using the front-end brush crop tool and export to DataFrame, df_random. Below we will visualize it using a new widget."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "collapsed": false,
    "deletable": true,
    "editable": true
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   "outputs": [
    {
     "data": {
      "text/plain": [
       "(24, 3)"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_random = net.widget_df()\n",
    "df_random.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "collapsed": false,
    "deletable": true,
    "editable": true
   },
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "c6587ae72cd84c5d99aa62259d00c95a"
      }
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     "output_type": "display_data"
    }
   ],
   "source": [
    "net.load_df(df_random)\n",
    "net.cluster()\n",
    "net.widget()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true,
    "deletable": true,
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\"ini\": 27}, {\"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: GRK4\", \"clust\": 3, \"cat_0_index\": 24, \"rank\": 1, \"cat-0\": \"Gene Type: Not Interesting\", \"rankvar\": 3, \"ini\": 26}, {\"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: TBK1\", \"clust\": 12, \"cat_0_index\": 25, \"rank\": 34, \"cat-0\": \"Gene Type: Not Interesting\", \"rankvar\": 26, \"ini\": 25}, {\"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: INSRR\", \"clust\": 23, \"cat_0_index\": 26, \"rank\": 13, \"cat-0\": \"Gene Type: Not Interesting\", \"rankvar\": 5, \"ini\": 24}, {\"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: IRAK1\", \"clust\": 11, \"cat_0_index\": 5, \"rank\": 20, \"cat-0\": \"Gene Type: Interesting\", \"rankvar\": 30, \"ini\": 23}, {\"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: KDR\", \"clust\": 33, \"cat_0_index\": 27, \"rank\": 19, \"cat-0\": \"Gene Type: Not Interesting\", \"rankvar\": 11, \"ini\": 22}, {\"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: NPR1\", \"clust\": 16, \"cat_0_index\": 6, \"rank\": 27, \"cat-0\": \"Gene Type: Interesting\", \"rankvar\": 29, \"ini\": 21}, {\"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: PAK3\", \"clust\": 9, \"cat_0_index\": 28, \"rank\": 11, \"cat-0\": \"Gene Type: Not Interesting\", \"rankvar\": 12, \"ini\": 20}, {\"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: PDGFRA\", \"clust\": 7, \"cat_0_index\": 7, \"rank\": 2, \"cat-0\": \"Gene Type: Interesting\", \"rankvar\": 0, \"ini\": 19}, {\"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: PDK4\", \"clust\": 24, \"cat_0_index\": 29, \"rank\": 22, \"cat-0\": \"Gene Type: Not Interesting\", \"rankvar\": 22, \"ini\": 18}, {\"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: ULK4\", \"clust\": 28, \"cat_0_index\": 8, \"rank\": 16, \"cat-0\": \"Gene Type: Interesting\", \"rankvar\": 19, \"ini\": 17}, {\"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: PRKCE\", \"clust\": 21, \"cat_0_index\": 30, \"rank\": 14, \"cat-0\": \"Gene Type: Not Interesting\", \"rankvar\": 1, \"ini\": 16}, {\"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: PRKG2\", \"clust\": 2, \"cat_0_index\": 31, \"rank\": 25, \"cat-0\": \"Gene Type: Not Interesting\", \"rankvar\": 18, \"ini\": 15}, {\"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: MAPK4\", \"clust\": 18, \"cat_0_index\": 9, \"rank\": 10, \"cat-0\": \"Gene Type: Interesting\", \"rankvar\": 16, \"ini\": 14}, {\"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: MAPK11\", \"clust\": 8, \"cat_0_index\": 10, \"rank\": 17, \"cat-0\": \"Gene Type: Interesting\", \"rankvar\": 34, \"ini\": 13}, {\"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: STK31\", \"clust\": 31, \"cat_0_index\": 11, \"rank\": 37, \"cat-0\": \"Gene Type: Interesting\", \"rankvar\": 31, \"ini\": 12}, {\"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: GRK1\", \"clust\": 19, \"cat_0_index\": 32, \"rank\": 15, \"cat-0\": \"Gene Type: Not Interesting\", \"rankvar\": 23, \"ini\": 11}, {\"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: ROS1\", \"clust\": 37, \"cat_0_index\": 12, \"rank\": 31, \"cat-0\": \"Gene Type: Interesting\", \"rankvar\": 37, \"ini\": 10}, {\"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: MAP2K4\", \"clust\": 10, \"cat_0_index\": 13, \"rank\": 23, \"cat-0\": \"Gene Type: Interesting\", \"rankvar\": 28, \"ini\": 9}, {\"group\": 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\"rankvar\": 14, \"ini\": 35}, {\"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: EGFR\", \"clust\": 13, \"cat_0_index\": 1, \"rank\": 33, \"cat-0\": \"Gene Type: Interesting\", \"rankvar\": 7, \"ini\": 34}, {\"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: STK32A\", \"clust\": 32, \"cat_0_index\": 2, \"rank\": 36, \"cat-0\": \"Gene Type: Interesting\", \"rankvar\": 32, \"ini\": 33}, {\"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: NRK\", \"clust\": 15, \"cat_0_index\": 3, \"rank\": 35, \"cat-0\": \"Gene Type: Interesting\", \"rankvar\": 33, \"ini\": 32}, {\"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: ERBB2\", \"clust\": 34, \"cat_0_index\": 20, \"rank\": 24, \"cat-0\": \"Gene Type: Not Interesting\", \"rankvar\": 9, \"ini\": 31}, {\"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: ERBB4\", \"clust\": 30, \"cat_0_index\": 21, \"rank\": 6, \"cat-0\": \"Gene Type: Not Interesting\", \"rankvar\": 2, \"ini\": 30}, {\"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: AAK1\", \"clust\": 36, \"cat_0_index\": 22, \"rank\": 18, \"cat-0\": \"Gene Type: Not Interesting\", \"rankvar\": 8, \"ini\": 29}, {\"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: SRPK3\", \"clust\": 4, \"cat_0_index\": 23, \"rank\": 8, \"cat-0\": \"Gene Type: Not Interesting\", \"rankvar\": 15, \"ini\": 28}, {\"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: STK39\", \"clust\": 35, \"cat_0_index\": 4, \"rank\": 7, \"cat-0\": \"Gene Type: Interesting\", \"rankvar\": 4, \"ini\": 27}, {\"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: GRK4\", \"clust\": 3, \"cat_0_index\": 24, \"rank\": 1, \"cat-0\": \"Gene Type: Not Interesting\", \"rankvar\": 3, \"ini\": 26}, {\"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: TBK1\", \"clust\": 12, \"cat_0_index\": 25, \"rank\": 34, \"cat-0\": \"Gene Type: Not Interesting\", \"rankvar\": 26, \"ini\": 25}, {\"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: INSRR\", \"clust\": 23, \"cat_0_index\": 26, \"rank\": 13, \"cat-0\": \"Gene Type: Not Interesting\", \"rankvar\": 5, \"ini\": 24}, {\"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: IRAK1\", \"clust\": 11, \"cat_0_index\": 5, \"rank\": 20, \"cat-0\": \"Gene Type: Interesting\", \"rankvar\": 30, \"ini\": 23}, {\"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: KDR\", \"clust\": 33, \"cat_0_index\": 27, \"rank\": 19, \"cat-0\": \"Gene Type: Not Interesting\", \"rankvar\": 11, \"ini\": 22}, {\"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: NPR1\", \"clust\": 16, \"cat_0_index\": 6, \"rank\": 27, \"cat-0\": \"Gene Type: Interesting\", \"rankvar\": 29, \"ini\": 21}, {\"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: PAK3\", \"clust\": 9, \"cat_0_index\": 28, \"rank\": 11, \"cat-0\": \"Gene Type: Not Interesting\", \"rankvar\": 12, \"ini\": 20}, {\"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: PDGFRA\", \"clust\": 7, \"cat_0_index\": 7, \"rank\": 2, \"cat-0\": \"Gene Type: Interesting\", \"rankvar\": 0, \"ini\": 19}, {\"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: PDK4\", \"clust\": 24, \"cat_0_index\": 29, \"rank\": 22, \"cat-0\": \"Gene Type: Not Interesting\", \"rankvar\": 22, \"ini\": 18}, {\"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: ULK4\", \"clust\": 28, \"cat_0_index\": 8, \"rank\": 16, \"cat-0\": \"Gene Type: Interesting\", \"rankvar\": 19, \"ini\": 17}, {\"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: PRKCE\", \"clust\": 21, \"cat_0_index\": 30, \"rank\": 14, \"cat-0\": \"Gene Type: Not Interesting\", \"rankvar\": 1, \"ini\": 16}, {\"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: PRKG2\", \"clust\": 2, \"cat_0_index\": 31, \"rank\": 25, \"cat-0\": \"Gene Type: Not Interesting\", \"rankvar\": 18, \"ini\": 15}, {\"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: MAPK4\", \"clust\": 18, \"cat_0_index\": 9, \"rank\": 10, \"cat-0\": \"Gene Type: Interesting\", \"rankvar\": 16, \"ini\": 14}, {\"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: MAPK11\", \"clust\": 8, \"cat_0_index\": 10, \"rank\": 17, \"cat-0\": \"Gene Type: Interesting\", \"rankvar\": 34, \"ini\": 13}, {\"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: STK31\", \"clust\": 31, \"cat_0_index\": 11, \"rank\": 37, \"cat-0\": \"Gene Type: Interesting\", \"rankvar\": 31, \"ini\": 12}, {\"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: GRK1\", \"clust\": 19, \"cat_0_index\": 32, \"rank\": 15, \"cat-0\": \"Gene Type: Not Interesting\", \"rankvar\": 23, \"ini\": 11}, {\"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: ROS1\", \"clust\": 37, \"cat_0_index\": 12, \"rank\": 31, \"cat-0\": \"Gene Type: Interesting\", \"rankvar\": 37, \"ini\": 10}, {\"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: MAP2K4\", \"clust\": 10, \"cat_0_index\": 13, \"rank\": 23, \"cat-0\": \"Gene Type: Interesting\", \"rankvar\": 28, \"ini\": 9}, {\"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: SRC\", \"clust\": 27, \"cat_0_index\": 14, \"rank\": 21, \"cat-0\": \"Gene Type: Interesting\", \"rankvar\": 21, \"ini\": 8}, {\"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: TGFBR1\", \"clust\": 17, \"cat_0_index\": 15, \"rank\": 12, \"cat-0\": \"Gene Type: Interesting\", \"rankvar\": 13, \"ini\": 7}, {\"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: CAMK2B\", \"clust\": 5, \"cat_0_index\": 33, \"rank\": 3, \"cat-0\": \"Gene Type: Not Interesting\", \"rankvar\": 17, \"ini\": 6}, {\"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: STK24\", \"clust\": 6, \"cat_0_index\": 16, \"rank\": 0, \"cat-0\": \"Gene Type: Interesting\", \"rankvar\": 36, \"ini\": 5}, {\"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: DCLK3\", \"clust\": 1, \"cat_0_index\": 34, \"rank\": 5, \"cat-0\": \"Gene Type: Not Interesting\", \"rankvar\": 25, \"ini\": 4}, {\"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: LATS1\", \"clust\": 22, \"cat_0_index\": 35, 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      "model_module_version": "*",
      "model_name": "hello_model",
      "state": {
       "_dom_classes": [],
       "_model_module_version": "*",
       "_view_module_version": "*",
       "layout": "IPY_MODEL_12aee5726b7c44d1be4858442b191d3b",
       "mat_string": "\t('H2228', 'Category: one', 'Gender: Female')\t('H358', 'Category: one', 'Gender: Male')\t('H1734', 'Category: one', 'Gender: Female')\t('HCC827', 'Category: one', 'Gender: Female')\t('H1975', 'Category: two', 'Gender: Female')\t('HCC78', 'Category: five', 'Gender: Male')\t('H2405', 'Category: five', 'Gender: Male')\t('CALU-3', 'Category: four', 'Gender: Male')\t('H2342', 'Category: four', 'Gender: Female')\n('NPR1', 'Gene Type: Interesting')\t-0.427821755\t-0.01882253\t-0.57293844\t-0.43040764299999995\t-0.005537792\t-0.836530855\t-0.754186082\t-0.16939480899999998\t0.254783369\n('NRK', 'Gene Type: Interesting')\t-0.420942214\t0.313253548\t5.2848086069999995\t5.8138464889999995\t-0.16288686\t0.472386752\t-0.16170658400000001\t-0.293654593\t4.390499721\n('CDK4', 'Gene Type: Interesting')\t0.6458672120000001\t0.356722594\t2.2103345709999997\t4.240884801\t0.933286088\t-0.981456952\t-0.5402313910000001\t0.149218809\t1.351263924\n('EGFR', 'Gene Type: Interesting')\t1.135709377\t-0.17813747\t0.24100472399999998\t3.557295952\t0.781819022\t-0.012362163999999998\t1.1737835559999998\t0.17231669100000002\t2.072433469\n('TBK1', 'Gene Type: Not Interesting')\t0.22916067\t-0.226683585\t-0.693495689\t5.598772307999999\t-0.986051455\t-0.057479225\t0.5350257970000001\t1.1347281329999999\t0.095734104\n('IRAK1', 'Gene Type: Interesting')\t-0.223205762\t0.528255597\t-0.8063482340000001\t1.44384296\t0.906234597\t0.562537497\t-0.253699343\t0.394657662\t0.613122698\n('MAP2K4', 'Gene Type: Interesting')\t-0.37779861600000003\t0.841683345\t-0.262719995\t1.8914884269999999\t1.064673748\t0.64306832\t-5.5283552\t-1.3658942619999999\t0.635492291\n('PAK3', 'Gene Type: Not Interesting')\t0.33958778799999995\t-0.634915727\t1.127699857\t1.3850494759999998\t-0.49376688700000004\t0.25453660899999997\t-0.346100755\t-0.044570503\t-0.33459763600000003\n('MAPK11', 'Gene Type: Interesting')\t-1.126153349\t-0.965891664\t-1.0633403129999999\t-1.448291877\t-0.7951534140000001\t-1.188868793\t-0.024088935\t-0.303782002\t-0.165568925\n('PDGFRA', 'Gene Type: Interesting')\t-0.648917127\t-0.38905618799999997\t-0.426192704\t-0.449953768\t-0.512555424\t-0.565880657\t-0.184845421\t-0.477052971\t-0.364449691\n('STK24', 'Gene Type: Interesting')\t-0.288349474\t0.26837169\t0.541683\t-0.34692102399999997\t-9.425120961000001\t0.30061925300000003\t0.9972831809999999\t-1.053859713\t-1.377541743\n('CAMK2B', 'Gene Type: Not Interesting')\t-0.343587801\t-0.8900327709999999\t-0.401579746\t-0.48641938100000004\t-0.437405434\t-0.657041002\t-0.536963482\t0.038953301\t0.033709721\n('SRPK3', 'Gene Type: Not Interesting')\t-0.493510825\t-0.483011414\t0.046286803\t0.337501769\t-0.71307719\t-0.323318624\t-0.656781635\t0.11344713099999999\t-0.110117735\n",
       "msg_throttle": 1,
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\"#ff7f0e\"}}, \"row\": {\"cat-0\": {\"Gene Type: Interesting\": \"#393b79\", \"Gene Type: Not Interesting\": \"#eee\"}}}, \"row_nodes\": [{\"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: CDK4\", \"clust\": 14, \"cat_0_index\": 0, \"rank\": 30, \"cat-0\": \"Gene Type: Interesting\", \"rankvar\": 20, \"ini\": 38}, {\"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: LMTK3\", \"clust\": 20, \"cat_0_index\": 17, \"rank\": 28, \"cat-0\": \"Gene Type: Not Interesting\", \"rankvar\": 24, \"ini\": 37}, {\"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: LRRK2\", \"clust\": 26, \"cat_0_index\": 18, \"rank\": 9, \"cat-0\": \"Gene Type: Not Interesting\", \"rankvar\": 10, \"ini\": 36}, {\"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: UHMK1\", \"clust\": 25, \"cat_0_index\": 19, \"rank\": 26, \"cat-0\": \"Gene Type: Not Interesting\", 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      "model_module_version": "*",
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      "state": {
       "_dom_classes": [],
       "_model_module_version": "*",
       "_view_module_version": "*",
       "layout": "IPY_MODEL_58a48602cd5f4b2da0793a7554bf9e49",
       "mat_string": "\t('HCC78', 'Category: five', 'Gender: Male')\t('H358', 'Category: one', 'Gender: Male')\t('H2342', 'Category: four', 'Gender: Female')\t('HCC827', 'Category: one', 'Gender: Female')\t('H1734', 'Category: one', 'Gender: Female')\t('H838', 'Category: five', 'Gender: Male')\t('H1975', 'Category: two', 'Gender: Female')\t('CALU-3', 'Category: four', 'Gender: Male')\t('H2405', 'Category: five', 'Gender: Male')\t('H2228', 'Category: one', 'Gender: Female')\n('PDGFRA', 'Gene Type: Interesting')\t-0.565880657\t-0.389056188\t-0.364449691\t-0.449953768\t-0.426192704\t-0.5705058789999999\t-0.512555424\t-0.477052971\t-0.184845421\t-0.648917127\n('MAPK11', 'Gene Type: Interesting')\t-1.188868793\t-0.965891664\t-0.165568925\t-1.448291877\t-1.063340313\t-1.154435684\t-0.7951534140000001\t-0.303782002\t-0.024088935\t-1.126153349\n('CAMK2B', 'Gene Type: Not Interesting')\t-0.657041002\t-0.8900327709999999\t0.033709721\t-0.486419381\t-0.401579746\t-0.669396538\t-0.437405434\t0.038953301\t-0.536963482\t-0.343587801\n('SRPK3', 'Gene Type: Not Interesting')\t-0.323318624\t-0.483011414\t-0.110117735\t0.337501769\t0.046286803\t-1.02570516\t-0.71307719\t0.113447131\t-0.656781635\t-0.493510825\n('GRK4', 'Gene Type: Not Interesting')\t-1.131138938\t-0.8104502790000001\t-0.437799213\t-0.573757161\t0.7661352570000001\t-1.182791974\t0.293775461\t-1.020216093\t-0.629467998\t-0.103783602\n('STK24', 'Gene Type: Interesting')\t0.30061925300000003\t0.26837169\t-1.377541743\t-0.346921024\t0.541683\t-2.283061167\t-9.425120961000001\t-1.053859713\t0.997283181\t-0.288349474\n('NPR1', 'Gene Type: Interesting')\t-0.836530855\t-0.01882253\t0.254783369\t-0.430407643\t-0.57293844\t0.8504395770000001\t-0.005537792\t-0.16939480899999998\t-0.754186082\t-0.427821755\n('TGFBR1', 'Gene Type: Interesting')\t-1.377303308\t0.040925843\t-0.138050924\t0.071551408\t0.376815421\t1.527568732\t0.359330228\t-0.7861355090000001\t-0.168322665\t-0.366480418\n('MAP2K4', 'Gene Type: Interesting')\t0.64306832\t0.841683345\t0.635492291\t1.891488427\t-0.262719995\t1.165406655\t1.064673748\t-1.365894262\t-5.5283552\t-0.377798616\n('CDK4', 'Gene Type: Interesting')\t-0.981456952\t0.356722594\t1.351263924\t4.240884801\t2.210334571\t0.114189581\t0.933286088\t0.149218809\t-0.5402313910000001\t0.6458672120000001\n('NRK', 'Gene Type: Interesting')\t0.472386752\t0.313253548\t4.390499721\t5.813846489\t5.284808607\t-0.2596391\t-0.16288686\t-0.293654593\t-0.161706584\t-0.420942214\n('EGFR', 'Gene Type: Interesting')\t-0.012362163999999998\t-0.17813747\t2.072433469\t3.557295952\t0.241004724\t-1.0473753890000002\t0.781819022\t0.17231669100000002\t1.1737835559999998\t1.135709377\n('PAK3', 'Gene Type: Not Interesting')\t0.254536609\t-0.634915727\t-0.33459763600000003\t1.3850494759999998\t1.127699857\t-0.47065185\t-0.493766887\t-0.044570503\t-0.346100755\t0.33958778799999995\n('TBK1', 'Gene Type: Not Interesting')\t-0.057479225\t-0.226683585\t0.095734104\t5.598772307999999\t-0.693495689\t2.070252907\t-0.986051455\t1.134728133\t0.5350257970000001\t0.22916067\n('IRAK1', 'Gene Type: Interesting')\t0.562537497\t0.528255597\t0.613122698\t1.44384296\t-0.8063482340000001\t-1.253907087\t0.906234597\t0.394657662\t-0.253699343\t-0.223205762\n",
       "msg_throttle": 1,
       "network": "{\"mat\": [[-0.366480418, 0.040925843, 0.376815421, 0.071551408, 0.359330228, -1.377303308, -0.168322665, -0.7861355090000001, -0.138050924, 1.527568732], [-0.427821755, -0.01882253, -0.57293844, -0.430407643, -0.005537792, -0.836530855, -0.754186082, -0.16939480899999998, 0.254783369, 0.8504395770000001], [-0.420942214, 0.313253548, 5.284808607, 5.813846489, -0.16288686, 0.472386752, -0.161706584, -0.293654593, 4.390499721, -0.2596391], [0.6458672120000001, 0.356722594, 2.210334571, 4.240884801, 0.933286088, -0.981456952, -0.5402313910000001, 0.149218809, 1.351263924, 0.114189581], [1.135709377, -0.17813747, 0.241004724, 3.557295952, 0.781819022, -0.012362163999999998, 1.1737835559999998, 0.17231669100000002, 2.072433469, -1.0473753890000002], [0.22916067, -0.226683585, -0.693495689, 5.598772307999999, -0.986051455, -0.057479225, 0.5350257970000001, 1.134728133, 0.095734104, 2.070252907], [-0.223205762, 0.528255597, -0.8063482340000001, 1.44384296, 0.906234597, 0.562537497, -0.253699343, 0.394657662, 0.613122698, -1.253907087], [-0.377798616, 0.841683345, -0.262719995, 1.891488427, 1.064673748, 0.64306832, -5.5283552, -1.365894262, 0.635492291, 1.165406655], [0.33958778799999995, -0.634915727, 1.127699857, 1.3850494759999998, -0.493766887, 0.254536609, -0.346100755, -0.044570503, -0.33459763600000003, -0.47065185], [-1.126153349, -0.965891664, -1.063340313, -1.448291877, -0.7951534140000001, -1.188868793, -0.024088935, -0.303782002, -0.165568925, -1.154435684], [-0.648917127, -0.389056188, -0.426192704, -0.449953768, -0.512555424, -0.565880657, -0.184845421, -0.477052971, -0.364449691, -0.5705058789999999], [-0.288349474, 0.26837169, 0.541683, -0.346921024, -9.425120961000001, 0.30061925300000003, 0.997283181, -1.053859713, -1.377541743, -2.283061167], [-0.343587801, -0.8900327709999999, -0.401579746, -0.486419381, -0.437405434, -0.657041002, -0.536963482, 0.038953301, 0.033709721, -0.669396538], [-0.493510825, -0.483011414, 0.046286803, 0.337501769, -0.71307719, -0.323318624, -0.656781635, 0.113447131, -0.110117735, -1.02570516], [-0.103783602, -0.8104502790000001, 0.7661352570000001, -0.573757161, 0.293775461, -1.131138938, -0.629467998, -1.020216093, -0.437799213, -1.182791974]], \"links\": [], \"views\": [{\"N_row_sum\": \"all\", \"dist\": \"cos\", \"nodes\": {\"row_nodes\": [{\"group\": [7.0, 6.0, 5.0, 3.0, 2.0, 2.0, 2.0, 2.0, 1.0, 1.0, 1.0], \"name\": \"TGFBR1\", \"clust\": 7, \"cat_0_index\": 0, \"rank\": 8, \"cat-0\": \"Gene Type: Interesting\", \"rankvar\": 7, \"ini\": 15}, {\"group\": [8.0, 7.0, 6.0, 3.0, 2.0, 2.0, 2.0, 2.0, 1.0, 1.0, 1.0], \"name\": \"NPR1\", \"clust\": 8, \"cat_0_index\": 1, \"rank\": 6, \"cat-0\": \"Gene Type: Interesting\", \"rankvar\": 4, \"ini\": 14}, {\"group\": [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0], \"name\": \"NRK\", \"clust\": 4, \"cat_0_index\": 2, \"rank\": 14, \"cat-0\": \"Gene Type: Interesting\", \"rankvar\": 13, \"ini\": 13}, {\"group\": [2.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0], \"name\": \"CDK4\", \"clust\": 5, \"cat_0_index\": 3, \"rank\": 13, \"cat-0\": \"Gene Type: Interesting\", \"rankvar\": 10, \"ini\": 12}, {\"group\": [3.0, 2.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0], \"name\": \"EGFR\", \"clust\": 3, \"cat_0_index\": 4, \"rank\": 12, \"cat-0\": \"Gene Type: Interesting\", \"rankvar\": 9, \"ini\": 11}, {\"group\": [5.0, 4.0, 3.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0], \"name\": \"TBK1\", \"clust\": 1, \"cat_0_index\": 10, \"rank\": 11, \"cat-0\": \"Gene Type: Not Interesting\", \"rankvar\": 11, \"ini\": 10}, {\"group\": [6.0, 5.0, 4.0, 2.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0], \"name\": \"IRAK1\", \"clust\": 0, \"cat_0_index\": 5, \"rank\": 10, \"cat-0\": \"Gene Type: Interesting\", \"rankvar\": 8, \"ini\": 9}, {\"group\": [9.0, 8.0, 7.0, 4.0, 3.0, 2.0, 2.0, 2.0, 1.0, 1.0, 1.0], \"name\": \"MAP2K4\", \"clust\": 6, \"cat_0_index\": 6, \"rank\": 7, \"cat-0\": \"Gene Type: Interesting\", \"rankvar\": 12, \"ini\": 8}, {\"group\": [4.0, 3.0, 2.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0], \"name\": \"PAK3\", \"clust\": 2, \"cat_0_index\": 11, \"rank\": 9, \"cat-0\": \"Gene Type: Not Interesting\", \"rankvar\": 6, \"ini\": 7}, {\"group\": [10.0, 9.0, 8.0, 5.0, 4.0, 3.0, 3.0, 2.0, 1.0, 1.0, 1.0], \"name\": \"MAPK11\", \"clust\": 13, \"cat_0_index\": 7, \"rank\": 1, \"cat-0\": \"Gene Type: Interesting\", \"rankvar\": 3, \"ini\": 6}, {\"group\": [11.0, 9.0, 8.0, 5.0, 4.0, 3.0, 3.0, 2.0, 1.0, 1.0, 1.0], \"name\": \"PDGFRA\", \"clust\": 14, \"cat_0_index\": 8, \"rank\": 3, \"cat-0\": \"Gene Type: Interesting\", \"rankvar\": 0, \"ini\": 5}, {\"group\": [15.0, 12.0, 11.0, 6.0, 5.0, 3.0, 3.0, 2.0, 1.0, 1.0, 1.0], \"name\": \"STK24\", \"clust\": 9, \"cat_0_index\": 9, \"rank\": 0, \"cat-0\": \"Gene Type: Interesting\", \"rankvar\": 14, \"ini\": 4}, {\"group\": [12.0, 9.0, 8.0, 5.0, 4.0, 3.0, 3.0, 2.0, 1.0, 1.0, 1.0], \"name\": \"CAMK2B\", \"clust\": 12, \"cat_0_index\": 12, \"rank\": 4, \"cat-0\": \"Gene Type: Not Interesting\", \"rankvar\": 1, \"ini\": 3}, {\"group\": [13.0, 10.0, 9.0, 5.0, 4.0, 3.0, 3.0, 2.0, 1.0, 1.0, 1.0], \"name\": \"SRPK3\", \"clust\": 11, \"cat_0_index\": 13, \"rank\": 5, \"cat-0\": \"Gene Type: Not Interesting\", \"rankvar\": 2, \"ini\": 2}, {\"group\": [14.0, 11.0, 10.0, 5.0, 4.0, 3.0, 3.0, 2.0, 1.0, 1.0, 1.0], \"name\": \"GRK4\", \"clust\": 10, \"cat_0_index\": 14, \"rank\": 2, \"cat-0\": \"Gene Type: Not Interesting\", \"rankvar\": 5, \"ini\": 1}], \"col_nodes\": [{\"group\": [3.0, 3.0, 3.0, 3.0, 2.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0], \"name\": \"H2228\", \"clust\": 0, \"cat_1_index\": 0, \"cat_0_index\": 5, \"rank\": 5, \"cat-1\": \"Gender: Female\", \"ini\": 10, \"cat-0\": \"Category: one\", \"rankvar\": 1}, {\"group\": [9.0, 9.0, 8.0, 7.0, 6.0, 4.0, 4.0, 3.0, 1.0, 1.0, 1.0], \"name\": \"H358\", \"clust\": 8, \"cat_1_index\": 5, \"cat_0_index\": 6, \"rank\": 6, \"cat-1\": \"Gender: Male\", \"ini\": 9, \"cat-0\": \"Category: one\", \"rankvar\": 0}, {\"group\": [8.0, 8.0, 7.0, 6.0, 5.0, 3.0, 3.0, 3.0, 1.0, 1.0, 1.0], \"name\": \"H1734\", \"clust\": 5, \"cat_1_index\": 1, \"cat_0_index\": 7, \"rank\": 7, \"cat-1\": \"Gender: Female\", \"ini\": 8, \"cat-0\": \"Category: one\", \"rankvar\": 7}, {\"group\": [6.0, 6.0, 6.0, 6.0, 5.0, 3.0, 3.0, 3.0, 1.0, 1.0, 1.0], \"name\": \"HCC827\", \"clust\": 6, \"cat_1_index\": 2, \"cat_0_index\": 8, \"rank\": 9, \"cat-1\": \"Gender: Female\", \"ini\": 7, \"cat-0\": \"Category: one\", \"rankvar\": 8}, {\"group\": [4.0, 4.0, 4.0, 4.0, 3.0, 2.0, 2.0, 2.0, 1.0, 1.0, 1.0], \"name\": \"H1975\", \"clust\": 3, \"cat_1_index\": 3, \"cat_0_index\": 9, \"rank\": 0, \"cat-1\": \"Gender: Female\", \"ini\": 6, \"cat-0\": \"Category: two\", \"rankvar\": 9}, {\"group\": [10.0, 10.0, 9.0, 8.0, 6.0, 4.0, 4.0, 3.0, 1.0, 1.0, 1.0], \"name\": \"HCC78\", \"clust\": 9, \"cat_1_index\": 6, \"cat_0_index\": 0, \"rank\": 2, \"cat-1\": \"Gender: Male\", \"ini\": 5, \"cat-0\": \"Category: five\", \"rankvar\": 3}, {\"group\": [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0], \"name\": \"H2405\", \"clust\": 1, \"cat_1_index\": 7, \"cat_0_index\": 1, \"rank\": 1, \"cat-1\": \"Gender: Male\", \"ini\": 4, \"cat-0\": \"Category: five\", \"rankvar\": 6}, {\"group\": [2.0, 2.0, 2.0, 2.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0], \"name\": \"CALU-3\", \"clust\": 2, \"cat_1_index\": 8, \"cat_0_index\": 3, \"rank\": 4, \"cat-1\": \"Gender: Male\", \"ini\": 3, \"cat-0\": \"Category: four\", \"rankvar\": 2}, {\"group\": [7.0, 7.0, 6.0, 6.0, 5.0, 3.0, 3.0, 3.0, 1.0, 1.0, 1.0], \"name\": \"H2342\", \"clust\": 7, \"cat_1_index\": 4, \"cat_0_index\": 4, \"rank\": 8, \"cat-1\": \"Gender: Female\", \"ini\": 2, \"cat-0\": \"Category: four\", \"rankvar\": 5}, {\"group\": [5.0, 5.0, 5.0, 5.0, 4.0, 2.0, 2.0, 2.0, 1.0, 1.0, 1.0], \"name\": \"H838\", \"clust\": 4, \"cat_1_index\": 9, \"cat_0_index\": 2, \"rank\": 3, \"cat-1\": \"Gender: Male\", \"ini\": 1, \"cat-0\": \"Category: five\", \"rankvar\": 4}]}}, {\"N_row_sum\": 10, \"dist\": \"cos\", \"nodes\": {\"row_nodes\": [{\"group\": [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0], \"name\": \"NRK\", \"clust\": 2, \"cat_0_index\": 0, \"rank\": 9, \"cat-0\": \"Gene Type: Interesting\", \"rankvar\": 8, \"ini\": 10}, {\"group\": [10.0, 7.0, 6.0, 3.0, 3.0, 2.0, 2.0, 2.0, 1.0, 1.0, 1.0], \"name\": \"STK24\", \"clust\": 4, \"cat_0_index\": 1, \"rank\": 0, \"cat-0\": \"Gene Type: Interesting\", \"rankvar\": 9, \"ini\": 9}, {\"group\": [2.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0], \"name\": \"CDK4\", \"clust\": 3, \"cat_0_index\": 2, \"rank\": 8, \"cat-0\": \"Gene Type: Interesting\", \"rankvar\": 6, \"ini\": 8}, {\"group\": [5.0, 4.0, 3.0, 2.0, 2.0, 2.0, 2.0, 2.0, 1.0, 1.0, 1.0], \"name\": \"MAPK11\", \"clust\": 8, \"cat_0_index\": 3, \"rank\": 1, \"cat-0\": \"Gene Type: Interesting\", \"rankvar\": 3, \"ini\": 7}, {\"group\": [3.0, 2.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0], \"name\": \"EGFR\", \"clust\": 1, \"cat_0_index\": 4, \"rank\": 7, \"cat-0\": \"Gene Type: Interesting\", \"rankvar\": 5, \"ini\": 6}, {\"group\": [4.0, 3.0, 2.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0], \"name\": \"TBK1\", \"clust\": 0, \"cat_0_index\": 6, \"rank\": 6, \"cat-0\": \"Gene Type: Not Interesting\", \"rankvar\": 7, \"ini\": 5}, {\"group\": [9.0, 6.0, 5.0, 2.0, 2.0, 2.0, 2.0, 2.0, 1.0, 1.0, 1.0], \"name\": \"GRK4\", \"clust\": 5, \"cat_0_index\": 7, \"rank\": 2, \"cat-0\": \"Gene Type: Not Interesting\", \"rankvar\": 4, \"ini\": 4}, {\"group\": [6.0, 4.0, 3.0, 2.0, 2.0, 2.0, 2.0, 2.0, 1.0, 1.0, 1.0], \"name\": \"PDGFRA\", \"clust\": 9, \"cat_0_index\": 5, \"rank\": 3, \"cat-0\": \"Gene Type: Interesting\", \"rankvar\": 0, \"ini\": 3}, {\"group\": [7.0, 4.0, 3.0, 2.0, 2.0, 2.0, 2.0, 2.0, 1.0, 1.0, 1.0], \"name\": \"CAMK2B\", \"clust\": 7, \"cat_0_index\": 8, \"rank\": 4, \"cat-0\": \"Gene Type: Not Interesting\", \"rankvar\": 1, \"ini\": 2}, {\"group\": [8.0, 5.0, 4.0, 2.0, 2.0, 2.0, 2.0, 2.0, 1.0, 1.0, 1.0], \"name\": \"SRPK3\", \"clust\": 6, \"cat_0_index\": 9, \"rank\": 5, \"cat-0\": \"Gene Type: Not Interesting\", \"rankvar\": 2, \"ini\": 1}], \"col_nodes\": [{\"group\": [9.0, 9.0, 6.0, 5.0, 4.0, 3.0, 2.0, 1.0, 1.0, 1.0, 1.0], \"name\": \"H2228\", \"clust\": 8, \"cat_1_index\": 0, \"cat_0_index\": 5, \"rank\": 5, \"cat-1\": \"Gender: Female\", \"ini\": 10, \"cat-0\": \"Category: one\", \"rankvar\": 3}, {\"group\": [7.0, 7.0, 5.0, 4.0, 3.0, 3.0, 2.0, 1.0, 1.0, 1.0, 1.0], \"name\": \"H358\", \"clust\": 6, \"cat_1_index\": 5, \"cat_0_index\": 6, \"rank\": 3, \"cat-1\": \"Gender: Male\", \"ini\": 9, \"cat-0\": \"Category: one\", \"rankvar\": 0}, {\"group\": [4.0, 4.0, 3.0, 3.0, 2.0, 2.0, 2.0, 1.0, 1.0, 1.0, 1.0], \"name\": \"H1734\", \"clust\": 4, \"cat_1_index\": 1, \"cat_0_index\": 7, \"rank\": 8, \"cat-1\": \"Gender: Female\", \"ini\": 8, \"cat-0\": \"Category: one\", \"rankvar\": 7}, {\"group\": [6.0, 6.0, 4.0, 3.0, 2.0, 2.0, 2.0, 1.0, 1.0, 1.0, 1.0], \"name\": \"HCC827\", \"clust\": 3, \"cat_1_index\": 2, 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       "viz_title": "updating python by restarting kernel"
      }
     },
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{\"group\": [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0], \"name\": \"79\", \"clust\": 1, \"rank\": 16, \"ini\": 3, \"rankvar\": 11}, {\"group\": [2.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0], \"name\": \"447\", \"clust\": 2, \"rank\": 2, \"ini\": 2, \"rankvar\": 4}, {\"group\": [5.0, 3.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0], \"name\": \"461\", \"clust\": 0, \"rank\": 1, \"ini\": 1, \"rankvar\": 23}], \"col_nodes\": [{\"group\": [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0], \"name\": \"1\", \"clust\": 1, \"rank\": 2, \"ini\": 3, \"rankvar\": 1}, {\"group\": [2.0, 2.0, 2.0, 2.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0], \"name\": \"4\", \"clust\": 2, \"rank\": 1, \"ini\": 2, \"rankvar\": 2}, {\"group\": [3.0, 3.0, 3.0, 3.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 1.0], \"name\": \"9\", \"clust\": 0, \"rank\": 0, \"ini\": 1, \"rankvar\": 0}]}",
       "viz_title": "updating python by restarting kernel"
      }
     },
     "dd34bf75fa73491fa697e967984822ce": {
      "model_module": "clustergrammer_widget",
      "model_module_version": "*",
      "model_name": "hello_model",
      "state": {
       "_dom_classes": [],
       "_model_module_version": "*",
       "_view_module_version": "*",
       "layout": "IPY_MODEL_7b761ef6044d4c3d85dab8b458681331",
       "mat_string": "\t('HCC827', 'Category: one', 'Gender: Female')\t('H1975', 'Category: two', 'Gender: Female')\t('HCC78', 'Category: five', 'Gender: Male')\t('H2405', 'Category: five', 'Gender: Male')\t('CALU-3', 'Category: four', 'Gender: Male')\n('STK39', 'Gene Type: Interesting')\t-0.55383453\t-0.477773537\t1.2676445570000001\t0.018847867\t1.7410016069999998\n('ERBB2', 'Gene Type: Not Interesting')\t-0.035192496000000004\t0.36500211299999996\t0.447742443\t-0.031210405\t4.103496507\n('KDR', 'Gene Type: Not Interesting')\t-0.601257973\t-0.139711627\t0.459403791\t-0.42732342700000003\t-0.24031472\n('STK32A', 'Gene Type: Interesting')\t1.156531983\t3.023348415\t3.84950782\t0.433696213\t1.0440255379999999\n('STK31', 'Gene Type: Interesting')\t3.8891158239999997\t0.63677969\t1.3663589180000002\t0.645442526\t0.087820649\n('ERBB4', 'Gene Type: Not Interesting')\t-0.463903623\t-0.32010333399999996\t-0.30897114\t-0.304652329\t1.256164876\n",
       "msg_throttle": 1,
       "network": "{\"mat\": [[-0.792803571, 0.527687127, 0.000622536, 0.356722594, 0.933286088, -0.131728538, 0.8084519440000001, 4.240884801, -0.5402313910000001, -0.981456952, -0.84689892, -0.25279592100000003, 0.114189581, -0.06649884, 0.149218809, 1.351263924, 0.6458672120000001, 0.60561098, 3.232454573, 0.342634572, -0.43091232399999996, -0.40590567, 0.199563989, -1.122536294, 2.2103345709999997, 0.405126315, -0.08976315900000001, 0.405126315, 0.340012773], [0.17762054, -0.016061488999999998, 5.422113832999999, 1.307039675, 0.355814985, 0.27690499399999996, 0.483153915, -0.24049582100000003, 1.336445996, 1.149618502, 0.361412978, -0.380518938, -0.21354100399999998, -0.471938639, -0.620858723, -0.163637058, -0.487256142, -0.029569687999999997, -0.23205777800000002, -0.6690369389999999, -0.44924169799999997, 1.1589304059999999, 0.5119620220000001, 2.370834155, 0.262893885, -0.513128895, -0.501210068, 0.43927756100000004, -0.342460508], [-0.6978761509999999, -0.555610265, 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{\"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: PRKCE\", \"clust\": 21, \"cat_0_index\": 30, \"rank\": 14, \"cat-0\": \"Gene Type: Not Interesting\", \"rankvar\": 1, \"ini\": 16}, {\"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: PRKG2\", \"clust\": 2, \"cat_0_index\": 31, \"rank\": 25, \"cat-0\": \"Gene Type: Not Interesting\", \"rankvar\": 18, \"ini\": 15}, {\"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: MAPK4\", \"clust\": 18, \"cat_0_index\": 9, \"rank\": 10, \"cat-0\": \"Gene Type: Interesting\", \"rankvar\": 16, \"ini\": 14}, {\"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: MAPK11\", \"clust\": 8, \"cat_0_index\": 10, \"rank\": 17, \"cat-0\": \"Gene Type: Interesting\", \"rankvar\": 34, \"ini\": 13}, {\"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: STK31\", \"clust\": 31, \"cat_0_index\": 11, \"rank\": 37, \"cat-0\": \"Gene Type: Interesting\", \"rankvar\": 31, \"ini\": 12}, {\"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: GRK1\", \"clust\": 19, \"cat_0_index\": 32, \"rank\": 15, \"cat-0\": \"Gene Type: Not Interesting\", \"rankvar\": 23, \"ini\": 11}, {\"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: ROS1\", \"clust\": 37, \"cat_0_index\": 12, \"rank\": 31, \"cat-0\": \"Gene Type: Interesting\", \"rankvar\": 37, \"ini\": 10}, {\"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: MAP2K4\", \"clust\": 10, \"cat_0_index\": 13, \"rank\": 23, \"cat-0\": \"Gene Type: Interesting\", \"rankvar\": 28, \"ini\": 9}, {\"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: SRC\", \"clust\": 27, \"cat_0_index\": 14, \"rank\": 21, \"cat-0\": \"Gene Type: Interesting\", \"rankvar\": 21, \"ini\": 8}, {\"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: TGFBR1\", \"clust\": 17, \"cat_0_index\": 15, \"rank\": 12, \"cat-0\": \"Gene Type: Interesting\", \"rankvar\": 13, \"ini\": 7}, {\"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: CAMK2B\", \"clust\": 5, \"cat_0_index\": 33, \"rank\": 3, \"cat-0\": \"Gene Type: Not Interesting\", \"rankvar\": 17, \"ini\": 6}, {\"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: STK24\", \"clust\": 6, \"cat_0_index\": 16, \"rank\": 0, \"cat-0\": \"Gene Type: Interesting\", \"rankvar\": 36, \"ini\": 5}, {\"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: DCLK3\", \"clust\": 1, \"cat_0_index\": 34, \"rank\": 5, \"cat-0\": \"Gene Type: Not Interesting\", \"rankvar\": 25, \"ini\": 4}, {\"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: LATS1\", \"clust\": 22, \"cat_0_index\": 35, \"rank\": 29, \"cat-0\": \"Gene Type: Not Interesting\", \"rankvar\": 27, \"ini\": 3}, {\"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: NEK9\", \"clust\": 0, \"cat_0_index\": 36, \"rank\": 4, \"cat-0\": \"Gene Type: Not Interesting\", \"rankvar\": 6, \"ini\": 2}, {\"group\": [30.0, 29.0, 26.0, 19.0, 15.0, 7.0, 1.0, 1.0, 1.0, 1.0, 1.0], \"name\": \"Gene: MYLK3\", \"clust\": 29, \"cat_0_index\": 37, \"rank\": 32, \"cat-0\": \"Gene Type: Not Interesting\", \"rankvar\": 35, \"ini\": 1}], \"col_nodes\": [{\"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: H1650\", \"clust\": 12, \"cat_1_index\": 10, \"cat_0_index\": 24, \"rank\": 6, \"cat-1\": \"Gender: Male\", \"ini\": 29, \"cat-0\": \"Category: two\", \"rankvar\": 4}, {\"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: H23\", \"clust\": 2, \"cat_1_index\": 11, \"cat_0_index\": 25, \"rank\": 17, \"cat-1\": \"Gender: 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\"name\": \"Cell Line: HCC78\", \"clust\": 21, \"cat_1_index\": 17, \"cat_0_index\": 1, \"rank\": 25, \"cat-1\": \"Gender: Male\", \"ini\": 20, \"cat-0\": \"Category: five\", \"rankvar\": 27}, {\"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: H1666\", \"clust\": 7, \"cat_1_index\": 2, \"cat_0_index\": 6, \"rank\": 18, \"cat-1\": \"Gender: Female\", \"ini\": 19, \"cat-0\": \"Category: four\", \"rankvar\": 15}, {\"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: H661\", \"clust\": 16, \"cat_1_index\": 18, \"cat_0_index\": 2, \"rank\": 3, \"cat-1\": \"Gender: Male\", \"ini\": 18, \"cat-0\": \"Category: five\", \"rankvar\": 26}, {\"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: H838\", \"clust\": 17, \"cat_1_index\": 19, \"cat_0_index\": 3, \"rank\": 7, \"cat-1\": \"Gender: Male\", \"ini\": 17, \"cat-0\": \"Category: five\", \"rankvar\": 23}, {\"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: H1703\", \"clust\": 14, \"cat_1_index\": 20, \"cat_0_index\": 4, \"rank\": 11, \"cat-1\": \"Gender: Male\", \"ini\": 16, \"cat-0\": \"Category: five\", \"rankvar\": 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: CALU-3\", \"clust\": 19, \"cat_1_index\": 21, \"cat_0_index\": 7, \"rank\": 8, \"cat-1\": \"Gender: Male\", \"ini\": 15, \"cat-0\": \"Category: four\", \"rankvar\": 7}, {\"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: H2342\", \"clust\": 18, \"cat_1_index\": 3, \"cat_0_index\": 8, \"rank\": 26, \"cat-1\": \"Gender: Female\", \"ini\": 14, \"cat-0\": \"Category: four\", \"rankvar\": 22}, {\"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: H2228\", \"clust\": 26, \"cat_1_index\": 4, \"cat_0_index\": 15, \"rank\": 2, \"cat-1\": \"Gender: 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1.0, 1.0], \"name\": \"Cell Line: H1734\", \"clust\": 24, \"cat_1_index\": 6, \"cat_0_index\": 17, \"rank\": 19, \"cat-1\": \"Gender: Female\", \"ini\": 5, \"cat-0\": \"Category: one\", \"rankvar\": 18}, {\"group\": [14.0, 14.0, 14.0, 14.0, 11.0, 9.0, 5.0, 2.0, 1.0, 1.0, 1.0], \"name\": \"Cell Line: LOU-NH91\", \"clust\": 13, \"cat_1_index\": 7, \"cat_0_index\": 5, \"rank\": 15, \"cat-1\": \"Gender: Female\", \"ini\": 4, \"cat-0\": \"Category: five\", \"rankvar\": 16}, {\"group\": [2.0, 2.0, 2.0, 2.0, 2.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0], \"name\": \"Cell Line: HCC44\", \"clust\": 3, \"cat_1_index\": 8, \"cat_0_index\": 11, \"rank\": 14, \"cat-1\": \"Gender: Female\", \"ini\": 3, \"cat-0\": \"Category: four\", \"rankvar\": 2}, {\"group\": [8.0, 8.0, 8.0, 8.0, 6.0, 5.0, 3.0, 1.0, 1.0, 1.0, 1.0], \"name\": \"Cell Line: A549\", \"clust\": 9, \"cat_1_index\": 28, \"cat_0_index\": 12, \"rank\": 21, \"cat-1\": \"Gender: Male\", \"ini\": 2, \"cat-0\": \"Category: four\", \"rankvar\": 3}, {\"group\": [25.0, 25.0, 25.0, 24.0, 19.0, 15.0, 8.0, 4.0, 1.0, 1.0, 1.0], \"name\": \"Cell Line: H1781\", \"clust\": 28, \"cat_1_index\": 9, \"cat_0_index\": 18, \"rank\": 13, \"cat-1\": \"Gender: Female\", \"ini\": 1, \"cat-0\": \"Category: one\", \"rankvar\": 13}]}",
       "viz_title": "updating python by restarting kernel"
      }
     }
    },
    "version_major": 1,
    "version_minor": 0
   }
  }
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 "nbformat_minor": 2
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