{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 179,
   "metadata": {},
   "outputs": [],
   "source": [
    "import os\n",
    "import glob\n",
    "import pickle\n",
    "import pandas as pd\n",
    "import numpy as np\n",
    "\n",
    "from dask.diagnostics import ProgressBar\n",
    "\n",
    "from arboreto.utils import load_tf_names\n",
    "from arboreto.algo import grnboost2\n",
    "\n",
    "from ctxcore.rnkdb import FeatherRankingDatabase as RankingDatabase\n",
    "from pyscenic.utils import modules_from_adjacencies, load_motifs\n",
    "from pyscenic.prune import prune2df, df2regulons\n",
    "from pyscenic.aucell import aucell\n",
    "\n",
    "import seaborn as sns\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 180,
   "metadata": {},
   "outputs": [],
   "source": [
    "import matplotlib.pyplot as plt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 181,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pickle as pkl"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 182,
   "metadata": {},
   "outputs": [],
   "source": [
    "def size2(a,b):\n",
    "    plt.rcParams['figure.figsize'] = (a,b)\n",
    "def size(a,b):\n",
    "    plt.gcf().set_size_inches(a,b)\n",
    "\n",
    "def pklrd(filename):\n",
    "    with open(filename, \"rb\") as file:\n",
    "        data = pkl.load(file)\n",
    "        return data\n",
    "\n",
    "def pklwr(data, filename):\n",
    "    with open(filename, \"wb\") as file:\n",
    "        pkl.dump(data, file)\n",
    "\n",
    "def save(name):\n",
    "    scjp.save_fig(version,'Fig4_'+name,fig_folder='./Fig4')\n",
    "\n",
    "\n",
    "plt.rcParams['figure.dpi'] = 300"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 183,
   "metadata": {},
   "outputs": [],
   "source": [
    "## tf gene list from http://humantfs.ccbr.utoronto.ca/download.php\n",
    "## ranking DB, motif from ## https://resources.aertslab.org/cistarget/\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 184,
   "metadata": {},
   "outputs": [],
   "source": [
    "import anndata as ad"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 185,
   "metadata": {},
   "outputs": [],
   "source": [
    "canrawt = ad.read_h5ad('/home/srkim/write/PCI01.v43.canrawt_final_02.h5ad')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 186,
   "metadata": {},
   "outputs": [],
   "source": [
    "auc_mtx = pd.read_csv('~/pyscenic_canrawt_filtered_mtx.csv', index_col=0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 187,
   "metadata": {},
   "outputs": [],
   "source": [
    "from pyscenic.rss import regulon_specificity_scores\n",
    "from pyscenic.plotting import plot_rss\n",
    "import matplotlib.pyplot as plt\n",
    "from adjustText import adjust_text\n",
    "import seaborn as sns\n",
    "from pyscenic.binarization import binarize"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 188,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>AR(+)</th>\n",
       "      <th>ATF3(+)</th>\n",
       "      <th>BACH1(+)</th>\n",
       "      <th>BCL6(+)</th>\n",
       "      <th>BHLHE40(+)</th>\n",
       "      <th>CREB3L1(+)</th>\n",
       "      <th>CREB3L4(+)</th>\n",
       "      <th>CREB5(+)</th>\n",
       "      <th>DDIT3(+)</th>\n",
       "      <th>EGR1(+)</th>\n",
       "      <th>...</th>\n",
       "      <th>SNAI1(+)</th>\n",
       "      <th>SOX4(+)</th>\n",
       "      <th>SOX5(+)</th>\n",
       "      <th>SOX6(+)</th>\n",
       "      <th>SPDEF(+)</th>\n",
       "      <th>STAT2(+)</th>\n",
       "      <th>TCF4(+)</th>\n",
       "      <th>TP63(+)</th>\n",
       "      <th>ZEB1(+)</th>\n",
       "      <th>ZNF233(+)</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Cell</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>GEX_45_MM_AAACGGGAGACAAGCC-1-0</th>\n",
       "      <td>0.309603</td>\n",
       "      <td>0.009364</td>\n",
       "      <td>0.002260</td>\n",
       "      <td>0.023236</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.011862</td>\n",
       "      <td>0.055846</td>\n",
       "      <td>0.008006</td>\n",
       "      <td>0.007603</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.015603</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.101619</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.015038</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.043962</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GEX_45_MM_AAAGATGAGCTCCTCT-1-0</th>\n",
       "      <td>0.161941</td>\n",
       "      <td>0.012431</td>\n",
       "      <td>0.007412</td>\n",
       "      <td>0.044666</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.014205</td>\n",
       "      <td>0.028575</td>\n",
       "      <td>0.036296</td>\n",
       "      <td>0.006231</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.010182</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.037978</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.051826</td>\n",
       "      <td>0.016296</td>\n",
       "      <td>0.168003</td>\n",
       "      <td>0.000051</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GEX_45_MM_AAAGATGTCGCTAGCG-1-0</th>\n",
       "      <td>0.082826</td>\n",
       "      <td>0.005493</td>\n",
       "      <td>0.001116</td>\n",
       "      <td>0.003092</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.006374</td>\n",
       "      <td>0.050414</td>\n",
       "      <td>0.002388</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000104</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.025342</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.001374</td>\n",
       "      <td>0.008448</td>\n",
       "      <td>0.005956</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GEX_45_MM_AAAGCAAAGGCGACAT-1-0</th>\n",
       "      <td>0.084580</td>\n",
       "      <td>0.007247</td>\n",
       "      <td>0.003033</td>\n",
       "      <td>0.008250</td>\n",
       "      <td>0.005695</td>\n",
       "      <td>0.007685</td>\n",
       "      <td>0.006111</td>\n",
       "      <td>0.066095</td>\n",
       "      <td>0.032299</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000589</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.035098</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.001811</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.001970</td>\n",
       "      <td>0.013476</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GEX_45_MM_AAAGCAAAGGGTCGAT-1-0</th>\n",
       "      <td>0.040529</td>\n",
       "      <td>0.013412</td>\n",
       "      <td>0.010617</td>\n",
       "      <td>0.052777</td>\n",
       "      <td>0.006005</td>\n",
       "      <td>0.005609</td>\n",
       "      <td>0.015350</td>\n",
       "      <td>0.007385</td>\n",
       "      <td>0.017359</td>\n",
       "      <td>0.008721</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.014779</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.028453</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.065320</td>\n",
       "      <td>0.004113</td>\n",
       "      <td>0.071205</td>\n",
       "      <td>0.040882</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5_GEX_9_TTTGTCAAGAGAACAG-1-1</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.008593</td>\n",
       "      <td>0.022215</td>\n",
       "      <td>0.066068</td>\n",
       "      <td>0.014404</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.006128</td>\n",
       "      <td>0.023016</td>\n",
       "      <td>0.013067</td>\n",
       "      <td>0.008535</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.006451</td>\n",
       "      <td>0.005515</td>\n",
       "      <td>0.027117</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.050422</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.018161</td>\n",
       "      <td>0.286356</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5_GEX_9_TTTGTCAAGATCTGCT-1-1</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.013548</td>\n",
       "      <td>0.024009</td>\n",
       "      <td>0.011098</td>\n",
       "      <td>0.024810</td>\n",
       "      <td>0.022153</td>\n",
       "      <td>0.048144</td>\n",
       "      <td>0.010927</td>\n",
       "      <td>0.006832</td>\n",
       "      <td>0.006156</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.004127</td>\n",
       "      <td>0.014181</td>\n",
       "      <td>0.046673</td>\n",
       "      <td>0.078274</td>\n",
       "      <td>0.009050</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.030500</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5_GEX_9_TTTGTCAAGCGTAATA-1-1</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.011238</td>\n",
       "      <td>0.029036</td>\n",
       "      <td>0.086111</td>\n",
       "      <td>0.021217</td>\n",
       "      <td>0.002209</td>\n",
       "      <td>0.004596</td>\n",
       "      <td>0.019867</td>\n",
       "      <td>0.014171</td>\n",
       "      <td>0.001121</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.015314</td>\n",
       "      <td>0.016151</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.007810</td>\n",
       "      <td>0.100397</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.063747</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5_GEX_9_TTTGTCACAGCTTAAC-1-1</th>\n",
       "      <td>0.089858</td>\n",
       "      <td>0.009337</td>\n",
       "      <td>0.012473</td>\n",
       "      <td>0.089268</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.001256</td>\n",
       "      <td>0.020073</td>\n",
       "      <td>0.013874</td>\n",
       "      <td>0.005823</td>\n",
       "      <td>0.021911</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.011447</td>\n",
       "      <td>0.055287</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.040609</td>\n",
       "      <td>0.016442</td>\n",
       "      <td>0.020375</td>\n",
       "      <td>0.071544</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5_GEX_9_TTTGTCACAGGTCCAC-1-1</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.014738</td>\n",
       "      <td>0.014347</td>\n",
       "      <td>0.013610</td>\n",
       "      <td>0.012568</td>\n",
       "      <td>0.155012</td>\n",
       "      <td>0.363638</td>\n",
       "      <td>0.004549</td>\n",
       "      <td>0.007231</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000631</td>\n",
       "      <td>0.114996</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.354062</td>\n",
       "      <td>0.026340</td>\n",
       "      <td>0.004493</td>\n",
       "      <td>0.009346</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.001873</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>10944 rows × 72 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                                   AR(+)   ATF3(+)  BACH1(+)   BCL6(+)  \\\n",
       "Cell                                                                     \n",
       "GEX_45_MM_AAACGGGAGACAAGCC-1-0  0.309603  0.009364  0.002260  0.023236   \n",
       "GEX_45_MM_AAAGATGAGCTCCTCT-1-0  0.161941  0.012431  0.007412  0.044666   \n",
       "GEX_45_MM_AAAGATGTCGCTAGCG-1-0  0.082826  0.005493  0.001116  0.003092   \n",
       "GEX_45_MM_AAAGCAAAGGCGACAT-1-0  0.084580  0.007247  0.003033  0.008250   \n",
       "GEX_45_MM_AAAGCAAAGGGTCGAT-1-0  0.040529  0.013412  0.010617  0.052777   \n",
       "...                                  ...       ...       ...       ...   \n",
       "5_GEX_9_TTTGTCAAGAGAACAG-1-1    0.000000  0.008593  0.022215  0.066068   \n",
       "5_GEX_9_TTTGTCAAGATCTGCT-1-1    0.000000  0.013548  0.024009  0.011098   \n",
       "5_GEX_9_TTTGTCAAGCGTAATA-1-1    0.000000  0.011238  0.029036  0.086111   \n",
       "5_GEX_9_TTTGTCACAGCTTAAC-1-1    0.089858  0.009337  0.012473  0.089268   \n",
       "5_GEX_9_TTTGTCACAGGTCCAC-1-1    0.000000  0.014738  0.014347  0.013610   \n",
       "\n",
       "                                BHLHE40(+)  CREB3L1(+)  CREB3L4(+)  CREB5(+)  \\\n",
       "Cell                                                                           \n",
       "GEX_45_MM_AAACGGGAGACAAGCC-1-0    0.000000    0.000000    0.011862  0.055846   \n",
       "GEX_45_MM_AAAGATGAGCTCCTCT-1-0    0.000000    0.000000    0.014205  0.028575   \n",
       "GEX_45_MM_AAAGATGTCGCTAGCG-1-0    0.000000    0.000000    0.006374  0.050414   \n",
       "GEX_45_MM_AAAGCAAAGGCGACAT-1-0    0.005695    0.007685    0.006111  0.066095   \n",
       "GEX_45_MM_AAAGCAAAGGGTCGAT-1-0    0.006005    0.005609    0.015350  0.007385   \n",
       "...                                    ...         ...         ...       ...   \n",
       "5_GEX_9_TTTGTCAAGAGAACAG-1-1      0.014404    0.000000    0.006128  0.023016   \n",
       "5_GEX_9_TTTGTCAAGATCTGCT-1-1      0.024810    0.022153    0.048144  0.010927   \n",
       "5_GEX_9_TTTGTCAAGCGTAATA-1-1      0.021217    0.002209    0.004596  0.019867   \n",
       "5_GEX_9_TTTGTCACAGCTTAAC-1-1      0.000000    0.001256    0.020073  0.013874   \n",
       "5_GEX_9_TTTGTCACAGGTCCAC-1-1      0.012568    0.155012    0.363638  0.004549   \n",
       "\n",
       "                                DDIT3(+)   EGR1(+)  ...  SNAI1(+)   SOX4(+)  \\\n",
       "Cell                                                ...                       \n",
       "GEX_45_MM_AAACGGGAGACAAGCC-1-0  0.008006  0.007603  ...       0.0  0.015603   \n",
       "GEX_45_MM_AAAGATGAGCTCCTCT-1-0  0.036296  0.006231  ...       0.0  0.010182   \n",
       "GEX_45_MM_AAAGATGTCGCTAGCG-1-0  0.002388  0.000000  ...       0.0  0.000104   \n",
       "GEX_45_MM_AAAGCAAAGGCGACAT-1-0  0.032299  0.000000  ...       0.0  0.000589   \n",
       "GEX_45_MM_AAAGCAAAGGGTCGAT-1-0  0.017359  0.008721  ...       0.0  0.014779   \n",
       "...                                  ...       ...  ...       ...       ...   \n",
       "5_GEX_9_TTTGTCAAGAGAACAG-1-1    0.013067  0.008535  ...       0.0  0.006451   \n",
       "5_GEX_9_TTTGTCAAGATCTGCT-1-1    0.006832  0.006156  ...       0.0  0.004127   \n",
       "5_GEX_9_TTTGTCAAGCGTAATA-1-1    0.014171  0.001121  ...       0.0  0.015314   \n",
       "5_GEX_9_TTTGTCACAGCTTAAC-1-1    0.005823  0.021911  ...       0.0  0.011447   \n",
       "5_GEX_9_TTTGTCACAGGTCCAC-1-1    0.007231  0.000000  ...       0.0  0.000631   \n",
       "\n",
       "                                 SOX5(+)   SOX6(+)  SPDEF(+)  STAT2(+)  \\\n",
       "Cell                                                                     \n",
       "GEX_45_MM_AAACGGGAGACAAGCC-1-0  0.000000  0.101619  0.000000  0.015038   \n",
       "GEX_45_MM_AAAGATGAGCTCCTCT-1-0  0.000000  0.037978  0.000000  0.051826   \n",
       "GEX_45_MM_AAAGATGTCGCTAGCG-1-0  0.000000  0.025342  0.000000  0.001374   \n",
       "GEX_45_MM_AAAGCAAAGGCGACAT-1-0  0.000000  0.035098  0.000000  0.001811   \n",
       "GEX_45_MM_AAAGCAAAGGGTCGAT-1-0  0.000000  0.028453  0.000000  0.065320   \n",
       "...                                  ...       ...       ...       ...   \n",
       "5_GEX_9_TTTGTCAAGAGAACAG-1-1    0.005515  0.027117  0.000000  0.050422   \n",
       "5_GEX_9_TTTGTCAAGATCTGCT-1-1    0.014181  0.046673  0.078274  0.009050   \n",
       "5_GEX_9_TTTGTCAAGCGTAATA-1-1    0.016151  0.000000  0.007810  0.100397   \n",
       "5_GEX_9_TTTGTCACAGCTTAAC-1-1    0.055287  0.000000  0.000000  0.040609   \n",
       "5_GEX_9_TTTGTCACAGGTCCAC-1-1    0.114996  0.000000  0.354062  0.026340   \n",
       "\n",
       "                                 TCF4(+)   TP63(+)   ZEB1(+)  ZNF233(+)  \n",
       "Cell                                                                     \n",
       "GEX_45_MM_AAACGGGAGACAAGCC-1-0  0.000000  0.043962  0.000000   0.000000  \n",
       "GEX_45_MM_AAAGATGAGCTCCTCT-1-0  0.016296  0.168003  0.000051   0.000000  \n",
       "GEX_45_MM_AAAGATGTCGCTAGCG-1-0  0.008448  0.005956  0.000000   0.000000  \n",
       "GEX_45_MM_AAAGCAAAGGCGACAT-1-0  0.000000  0.001970  0.013476   0.000000  \n",
       "GEX_45_MM_AAAGCAAAGGGTCGAT-1-0  0.004113  0.071205  0.040882   0.000000  \n",
       "...                                  ...       ...       ...        ...  \n",
       "5_GEX_9_TTTGTCAAGAGAACAG-1-1    0.000000  0.018161  0.286356   0.000000  \n",
       "5_GEX_9_TTTGTCAAGATCTGCT-1-1    0.000000  0.030500  0.000000   0.000000  \n",
       "5_GEX_9_TTTGTCAAGCGTAATA-1-1    0.000000  0.063747  0.000000   0.000000  \n",
       "5_GEX_9_TTTGTCACAGCTTAAC-1-1    0.016442  0.020375  0.071544   0.000000  \n",
       "5_GEX_9_TTTGTCACAGGTCCAC-1-1    0.004493  0.009346  0.000000   0.001873  \n",
       "\n",
       "[10944 rows x 72 columns]"
      ]
     },
     "execution_count": 188,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "auc_mtx"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 189,
   "metadata": {},
   "outputs": [],
   "source": [
    "cellAnnot = pd.DataFrame(index=auc_mtx.index)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 190,
   "metadata": {},
   "outputs": [],
   "source": [
    "cellAnnot= cellAnnot.merge(canrawt.obs[['anno_final']], left_index=True, right_index=True, how='left')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 191,
   "metadata": {},
   "outputs": [],
   "source": [
    "cellAnnot['Celltype_Garnett'] = cellAnnot['anno_final'].copy()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 192,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>AR(+)</th>\n",
       "      <th>ATF3(+)</th>\n",
       "      <th>BACH1(+)</th>\n",
       "      <th>BCL6(+)</th>\n",
       "      <th>BHLHE40(+)</th>\n",
       "      <th>CREB3L1(+)</th>\n",
       "      <th>CREB3L4(+)</th>\n",
       "      <th>CREB5(+)</th>\n",
       "      <th>DDIT3(+)</th>\n",
       "      <th>EGR1(+)</th>\n",
       "      <th>...</th>\n",
       "      <th>SNAI1(+)</th>\n",
       "      <th>SOX4(+)</th>\n",
       "      <th>SOX5(+)</th>\n",
       "      <th>SOX6(+)</th>\n",
       "      <th>SPDEF(+)</th>\n",
       "      <th>STAT2(+)</th>\n",
       "      <th>TCF4(+)</th>\n",
       "      <th>TP63(+)</th>\n",
       "      <th>ZEB1(+)</th>\n",
       "      <th>ZNF233(+)</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Ep_FXYD2</th>\n",
       "      <td>0.388965</td>\n",
       "      <td>0.225306</td>\n",
       "      <td>0.190530</td>\n",
       "      <td>0.200628</td>\n",
       "      <td>0.177613</td>\n",
       "      <td>0.180385</td>\n",
       "      <td>0.184671</td>\n",
       "      <td>0.301325</td>\n",
       "      <td>0.206436</td>\n",
       "      <td>0.200666</td>\n",
       "      <td>...</td>\n",
       "      <td>0.171640</td>\n",
       "      <td>0.195748</td>\n",
       "      <td>0.180485</td>\n",
       "      <td>0.259947</td>\n",
       "      <td>0.172367</td>\n",
       "      <td>0.188897</td>\n",
       "      <td>0.197513</td>\n",
       "      <td>0.195325</td>\n",
       "      <td>0.173127</td>\n",
       "      <td>0.201322</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Ep_PIFO</th>\n",
       "      <td>0.195639</td>\n",
       "      <td>0.211185</td>\n",
       "      <td>0.217519</td>\n",
       "      <td>0.251494</td>\n",
       "      <td>0.209326</td>\n",
       "      <td>0.177941</td>\n",
       "      <td>0.182825</td>\n",
       "      <td>0.201914</td>\n",
       "      <td>0.196327</td>\n",
       "      <td>0.209717</td>\n",
       "      <td>...</td>\n",
       "      <td>0.175180</td>\n",
       "      <td>0.196737</td>\n",
       "      <td>0.186984</td>\n",
       "      <td>0.208077</td>\n",
       "      <td>0.177509</td>\n",
       "      <td>0.268071</td>\n",
       "      <td>0.202869</td>\n",
       "      <td>0.287377</td>\n",
       "      <td>0.192865</td>\n",
       "      <td>0.180070</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Ep_VGLL1</th>\n",
       "      <td>0.260881</td>\n",
       "      <td>0.306768</td>\n",
       "      <td>0.359137</td>\n",
       "      <td>0.315239</td>\n",
       "      <td>0.316010</td>\n",
       "      <td>0.235239</td>\n",
       "      <td>0.223727</td>\n",
       "      <td>0.300136</td>\n",
       "      <td>0.333696</td>\n",
       "      <td>0.335576</td>\n",
       "      <td>...</td>\n",
       "      <td>0.235361</td>\n",
       "      <td>0.402097</td>\n",
       "      <td>0.216193</td>\n",
       "      <td>0.292679</td>\n",
       "      <td>0.205202</td>\n",
       "      <td>0.323815</td>\n",
       "      <td>0.284225</td>\n",
       "      <td>0.334517</td>\n",
       "      <td>0.257349</td>\n",
       "      <td>0.256051</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Ep_TRIM54</th>\n",
       "      <td>0.296020</td>\n",
       "      <td>0.341267</td>\n",
       "      <td>0.328930</td>\n",
       "      <td>0.273868</td>\n",
       "      <td>0.319524</td>\n",
       "      <td>0.420222</td>\n",
       "      <td>0.277714</td>\n",
       "      <td>0.382003</td>\n",
       "      <td>0.376023</td>\n",
       "      <td>0.300165</td>\n",
       "      <td>...</td>\n",
       "      <td>0.308438</td>\n",
       "      <td>0.331628</td>\n",
       "      <td>0.428012</td>\n",
       "      <td>0.385147</td>\n",
       "      <td>0.309644</td>\n",
       "      <td>0.301728</td>\n",
       "      <td>0.306471</td>\n",
       "      <td>0.323565</td>\n",
       "      <td>0.239445</td>\n",
       "      <td>0.364688</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Ep_KRT6A</th>\n",
       "      <td>0.233046</td>\n",
       "      <td>0.264136</td>\n",
       "      <td>0.297714</td>\n",
       "      <td>0.356530</td>\n",
       "      <td>0.312752</td>\n",
       "      <td>0.189239</td>\n",
       "      <td>0.218941</td>\n",
       "      <td>0.271644</td>\n",
       "      <td>0.274587</td>\n",
       "      <td>0.267085</td>\n",
       "      <td>...</td>\n",
       "      <td>0.190476</td>\n",
       "      <td>0.275087</td>\n",
       "      <td>0.206127</td>\n",
       "      <td>0.252084</td>\n",
       "      <td>0.180924</td>\n",
       "      <td>0.354526</td>\n",
       "      <td>0.352670</td>\n",
       "      <td>0.324958</td>\n",
       "      <td>0.417147</td>\n",
       "      <td>0.201637</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Ep_ZBED6</th>\n",
       "      <td>0.214634</td>\n",
       "      <td>0.223485</td>\n",
       "      <td>0.274827</td>\n",
       "      <td>0.253735</td>\n",
       "      <td>0.242114</td>\n",
       "      <td>0.201480</td>\n",
       "      <td>0.185965</td>\n",
       "      <td>0.246434</td>\n",
       "      <td>0.229304</td>\n",
       "      <td>0.236999</td>\n",
       "      <td>...</td>\n",
       "      <td>0.200658</td>\n",
       "      <td>0.240373</td>\n",
       "      <td>0.231863</td>\n",
       "      <td>0.274186</td>\n",
       "      <td>0.185829</td>\n",
       "      <td>0.237641</td>\n",
       "      <td>0.236060</td>\n",
       "      <td>0.230181</td>\n",
       "      <td>0.212336</td>\n",
       "      <td>0.250250</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Ep_Base</th>\n",
       "      <td>0.218260</td>\n",
       "      <td>0.330624</td>\n",
       "      <td>0.360586</td>\n",
       "      <td>0.377071</td>\n",
       "      <td>0.370101</td>\n",
       "      <td>0.256636</td>\n",
       "      <td>0.244028</td>\n",
       "      <td>0.295801</td>\n",
       "      <td>0.327750</td>\n",
       "      <td>0.342512</td>\n",
       "      <td>...</td>\n",
       "      <td>0.214682</td>\n",
       "      <td>0.350988</td>\n",
       "      <td>0.283101</td>\n",
       "      <td>0.264846</td>\n",
       "      <td>0.231292</td>\n",
       "      <td>0.364289</td>\n",
       "      <td>0.315366</td>\n",
       "      <td>0.312445</td>\n",
       "      <td>0.290148</td>\n",
       "      <td>0.209854</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Ep_MSMB</th>\n",
       "      <td>0.213372</td>\n",
       "      <td>0.356227</td>\n",
       "      <td>0.231506</td>\n",
       "      <td>0.216466</td>\n",
       "      <td>0.229168</td>\n",
       "      <td>0.467505</td>\n",
       "      <td>0.593784</td>\n",
       "      <td>0.269832</td>\n",
       "      <td>0.254894</td>\n",
       "      <td>0.267536</td>\n",
       "      <td>...</td>\n",
       "      <td>0.177152</td>\n",
       "      <td>0.209871</td>\n",
       "      <td>0.216024</td>\n",
       "      <td>0.239657</td>\n",
       "      <td>0.527115</td>\n",
       "      <td>0.219133</td>\n",
       "      <td>0.194410</td>\n",
       "      <td>0.220586</td>\n",
       "      <td>0.179029</td>\n",
       "      <td>0.204828</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>8 rows × 72 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "              AR(+)   ATF3(+)  BACH1(+)   BCL6(+)  BHLHE40(+)  CREB3L1(+)  \\\n",
       "Ep_FXYD2   0.388965  0.225306  0.190530  0.200628    0.177613    0.180385   \n",
       "Ep_PIFO    0.195639  0.211185  0.217519  0.251494    0.209326    0.177941   \n",
       "Ep_VGLL1   0.260881  0.306768  0.359137  0.315239    0.316010    0.235239   \n",
       "Ep_TRIM54  0.296020  0.341267  0.328930  0.273868    0.319524    0.420222   \n",
       "Ep_KRT6A   0.233046  0.264136  0.297714  0.356530    0.312752    0.189239   \n",
       "Ep_ZBED6   0.214634  0.223485  0.274827  0.253735    0.242114    0.201480   \n",
       "Ep_Base    0.218260  0.330624  0.360586  0.377071    0.370101    0.256636   \n",
       "Ep_MSMB    0.213372  0.356227  0.231506  0.216466    0.229168    0.467505   \n",
       "\n",
       "           CREB3L4(+)  CREB5(+)  DDIT3(+)   EGR1(+)  ...  SNAI1(+)   SOX4(+)  \\\n",
       "Ep_FXYD2     0.184671  0.301325  0.206436  0.200666  ...  0.171640  0.195748   \n",
       "Ep_PIFO      0.182825  0.201914  0.196327  0.209717  ...  0.175180  0.196737   \n",
       "Ep_VGLL1     0.223727  0.300136  0.333696  0.335576  ...  0.235361  0.402097   \n",
       "Ep_TRIM54    0.277714  0.382003  0.376023  0.300165  ...  0.308438  0.331628   \n",
       "Ep_KRT6A     0.218941  0.271644  0.274587  0.267085  ...  0.190476  0.275087   \n",
       "Ep_ZBED6     0.185965  0.246434  0.229304  0.236999  ...  0.200658  0.240373   \n",
       "Ep_Base      0.244028  0.295801  0.327750  0.342512  ...  0.214682  0.350988   \n",
       "Ep_MSMB      0.593784  0.269832  0.254894  0.267536  ...  0.177152  0.209871   \n",
       "\n",
       "            SOX5(+)   SOX6(+)  SPDEF(+)  STAT2(+)   TCF4(+)   TP63(+)  \\\n",
       "Ep_FXYD2   0.180485  0.259947  0.172367  0.188897  0.197513  0.195325   \n",
       "Ep_PIFO    0.186984  0.208077  0.177509  0.268071  0.202869  0.287377   \n",
       "Ep_VGLL1   0.216193  0.292679  0.205202  0.323815  0.284225  0.334517   \n",
       "Ep_TRIM54  0.428012  0.385147  0.309644  0.301728  0.306471  0.323565   \n",
       "Ep_KRT6A   0.206127  0.252084  0.180924  0.354526  0.352670  0.324958   \n",
       "Ep_ZBED6   0.231863  0.274186  0.185829  0.237641  0.236060  0.230181   \n",
       "Ep_Base    0.283101  0.264846  0.231292  0.364289  0.315366  0.312445   \n",
       "Ep_MSMB    0.216024  0.239657  0.527115  0.219133  0.194410  0.220586   \n",
       "\n",
       "            ZEB1(+)  ZNF233(+)  \n",
       "Ep_FXYD2   0.173127   0.201322  \n",
       "Ep_PIFO    0.192865   0.180070  \n",
       "Ep_VGLL1   0.257349   0.256051  \n",
       "Ep_TRIM54  0.239445   0.364688  \n",
       "Ep_KRT6A   0.417147   0.201637  \n",
       "Ep_ZBED6   0.212336   0.250250  \n",
       "Ep_Base    0.290148   0.209854  \n",
       "Ep_MSMB    0.179029   0.204828  \n",
       "\n",
       "[8 rows x 72 columns]"
      ]
     },
     "execution_count": 192,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "rss_cellType = regulon_specificity_scores( auc_mtx, cellAnnot['Celltype_Garnett'] )\n",
    "rss_cellType"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 193,
   "metadata": {},
   "outputs": [],
   "source": [
    "rss_cellType = rss_cellType.drop('Ep_Base')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 194,
   "metadata": {},
   "outputs": [],
   "source": [
    "csdict = pklrd('csdict.pkl')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 195,
   "metadata": {},
   "outputs": [],
   "source": [
    "from scipy.stats import ttest_ind"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 196,
   "metadata": {},
   "outputs": [],
   "source": [
    "df = auc_mtx.merge(canrawt.obs[['anno_final']], left_index=True, right_index=True).copy()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 197,
   "metadata": {},
   "outputs": [],
   "source": [
    "pvalmtx = pd.DataFrame(columns = rss_cellType.columns, index=rss_cellType.index)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 198,
   "metadata": {},
   "outputs": [],
   "source": [
    "statmtx = pd.DataFrame(columns = rss_cellType.columns, index=rss_cellType.index)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 199,
   "metadata": {},
   "outputs": [],
   "source": [
    "for anno in rss_cellType.index:\n",
    "    for x in rss_cellType.columns:\n",
    "        pvalmtx.loc[anno,x] = ttest_ind(df[df['anno_final'] ==anno][x], df[df['anno_final']!=anno][x])[1]\n",
    "        statmtx.loc[anno,x] = ttest_ind(df[df['anno_final'] ==anno][x], df[df['anno_final']!=anno][x])[0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 200,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "6.593736703754367e-18"
      ]
     },
     "execution_count": 200,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ttest_ind(df[df['anno_final'] ==anno][x], df[df['anno_final']!=anno][x])[1]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 201,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>AR(+)</th>\n",
       "      <th>ATF3(+)</th>\n",
       "      <th>BACH1(+)</th>\n",
       "      <th>BCL6(+)</th>\n",
       "      <th>BHLHE40(+)</th>\n",
       "      <th>CREB3L1(+)</th>\n",
       "      <th>CREB3L4(+)</th>\n",
       "      <th>CREB5(+)</th>\n",
       "      <th>DDIT3(+)</th>\n",
       "      <th>EGR1(+)</th>\n",
       "      <th>...</th>\n",
       "      <th>SNAI1(+)</th>\n",
       "      <th>SOX4(+)</th>\n",
       "      <th>SOX5(+)</th>\n",
       "      <th>SOX6(+)</th>\n",
       "      <th>SPDEF(+)</th>\n",
       "      <th>STAT2(+)</th>\n",
       "      <th>TCF4(+)</th>\n",
       "      <th>TP63(+)</th>\n",
       "      <th>ZEB1(+)</th>\n",
       "      <th>ZNF233(+)</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Ep_FXYD2</th>\n",
       "      <td>73.853036</td>\n",
       "      <td>1.114975</td>\n",
       "      <td>-19.8115</td>\n",
       "      <td>-12.500436</td>\n",
       "      <td>-18.528362</td>\n",
       "      <td>-13.61192</td>\n",
       "      <td>-8.098529</td>\n",
       "      <td>69.319647</td>\n",
       "      <td>-7.907638</td>\n",
       "      <td>-7.948865</td>\n",
       "      <td>...</td>\n",
       "      <td>-6.027041</td>\n",
       "      <td>-12.680978</td>\n",
       "      <td>-8.848136</td>\n",
       "      <td>22.390709</td>\n",
       "      <td>-10.081475</td>\n",
       "      <td>-20.267605</td>\n",
       "      <td>-7.387333</td>\n",
       "      <td>-11.980214</td>\n",
       "      <td>-10.554624</td>\n",
       "      <td>-2.378117</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Ep_PIFO</th>\n",
       "      <td>-5.973529</td>\n",
       "      <td>-13.125871</td>\n",
       "      <td>-10.675191</td>\n",
       "      <td>10.766147</td>\n",
       "      <td>-9.645161</td>\n",
       "      <td>-16.837975</td>\n",
       "      <td>-10.019894</td>\n",
       "      <td>-17.666724</td>\n",
       "      <td>-16.36806</td>\n",
       "      <td>-7.99298</td>\n",
       "      <td>...</td>\n",
       "      <td>-6.169635</td>\n",
       "      <td>-16.978053</td>\n",
       "      <td>-9.229117</td>\n",
       "      <td>-9.328968</td>\n",
       "      <td>-10.591779</td>\n",
       "      <td>22.827962</td>\n",
       "      <td>-8.358187</td>\n",
       "      <td>28.731994</td>\n",
       "      <td>-7.449483</td>\n",
       "      <td>-8.826533</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Ep_VGLL1</th>\n",
       "      <td>1.223111</td>\n",
       "      <td>1.589377</td>\n",
       "      <td>31.992238</td>\n",
       "      <td>4.654621</td>\n",
       "      <td>7.614291</td>\n",
       "      <td>-18.898784</td>\n",
       "      <td>-14.485431</td>\n",
       "      <td>-2.445519</td>\n",
       "      <td>15.268415</td>\n",
       "      <td>19.710925</td>\n",
       "      <td>...</td>\n",
       "      <td>3.372175</td>\n",
       "      <td>51.294881</td>\n",
       "      <td>-13.379646</td>\n",
       "      <td>-0.762432</td>\n",
       "      <td>-14.665357</td>\n",
       "      <td>9.528974</td>\n",
       "      <td>0.487247</td>\n",
       "      <td>19.126396</td>\n",
       "      <td>-4.556643</td>\n",
       "      <td>1.489811</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Ep_TRIM54</th>\n",
       "      <td>0.792764</td>\n",
       "      <td>-10.205617</td>\n",
       "      <td>-19.503834</td>\n",
       "      <td>-38.992299</td>\n",
       "      <td>-10.849221</td>\n",
       "      <td>22.848613</td>\n",
       "      <td>-14.41601</td>\n",
       "      <td>9.643804</td>\n",
       "      <td>8.562352</td>\n",
       "      <td>-13.747384</td>\n",
       "      <td>...</td>\n",
       "      <td>19.557156</td>\n",
       "      <td>-11.72822</td>\n",
       "      <td>34.952035</td>\n",
       "      <td>19.040871</td>\n",
       "      <td>-1.370008</td>\n",
       "      <td>-29.360534</td>\n",
       "      <td>-4.345886</td>\n",
       "      <td>-12.582282</td>\n",
       "      <td>-17.764333</td>\n",
       "      <td>27.725785</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Ep_KRT6A</th>\n",
       "      <td>-9.513275</td>\n",
       "      <td>-25.167148</td>\n",
       "      <td>-10.237718</td>\n",
       "      <td>22.731625</td>\n",
       "      <td>3.983484</td>\n",
       "      <td>-31.989678</td>\n",
       "      <td>-16.150391</td>\n",
       "      <td>-19.95731</td>\n",
       "      <td>-10.682488</td>\n",
       "      <td>-12.719774</td>\n",
       "      <td>...</td>\n",
       "      <td>-9.19882</td>\n",
       "      <td>-12.441589</td>\n",
       "      <td>-16.698839</td>\n",
       "      <td>-17.989251</td>\n",
       "      <td>-20.632504</td>\n",
       "      <td>21.824079</td>\n",
       "      <td>19.293779</td>\n",
       "      <td>6.73512</td>\n",
       "      <td>48.859822</td>\n",
       "      <td>-13.954431</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Ep_ZBED6</th>\n",
       "      <td>-1.922975</td>\n",
       "      <td>-8.766018</td>\n",
       "      <td>25.949357</td>\n",
       "      <td>9.602631</td>\n",
       "      <td>3.495961</td>\n",
       "      <td>-11.682484</td>\n",
       "      <td>-10.295551</td>\n",
       "      <td>4.653797</td>\n",
       "      <td>-3.613779</td>\n",
       "      <td>2.116372</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.685113</td>\n",
       "      <td>1.937398</td>\n",
       "      <td>4.411287</td>\n",
       "      <td>20.628104</td>\n",
       "      <td>-9.669867</td>\n",
       "      <td>-0.668157</td>\n",
       "      <td>2.845847</td>\n",
       "      <td>-3.020064</td>\n",
       "      <td>-2.50314</td>\n",
       "      <td>9.234646</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Ep_MSMB</th>\n",
       "      <td>-9.035171</td>\n",
       "      <td>46.538366</td>\n",
       "      <td>-25.669135</td>\n",
       "      <td>-29.002904</td>\n",
       "      <td>-16.36931</td>\n",
       "      <td>95.88062</td>\n",
       "      <td>164.092813</td>\n",
       "      <td>-5.829087</td>\n",
       "      <td>-10.142274</td>\n",
       "      <td>-0.368031</td>\n",
       "      <td>...</td>\n",
       "      <td>-9.099258</td>\n",
       "      <td>-27.501054</td>\n",
       "      <td>-9.639122</td>\n",
       "      <td>-12.473322</td>\n",
       "      <td>104.39429</td>\n",
       "      <td>-31.995369</td>\n",
       "      <td>-21.927712</td>\n",
       "      <td>-22.339022</td>\n",
       "      <td>-17.736027</td>\n",
       "      <td>-8.636614</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>7 rows × 72 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "               AR(+)    ATF3(+)   BACH1(+)    BCL6(+) BHLHE40(+) CREB3L1(+)  \\\n",
       "Ep_FXYD2   73.853036   1.114975   -19.8115 -12.500436 -18.528362  -13.61192   \n",
       "Ep_PIFO    -5.973529 -13.125871 -10.675191  10.766147  -9.645161 -16.837975   \n",
       "Ep_VGLL1    1.223111   1.589377  31.992238   4.654621   7.614291 -18.898784   \n",
       "Ep_TRIM54   0.792764 -10.205617 -19.503834 -38.992299 -10.849221  22.848613   \n",
       "Ep_KRT6A   -9.513275 -25.167148 -10.237718  22.731625   3.983484 -31.989678   \n",
       "Ep_ZBED6   -1.922975  -8.766018  25.949357   9.602631   3.495961 -11.682484   \n",
       "Ep_MSMB    -9.035171  46.538366 -25.669135 -29.002904  -16.36931   95.88062   \n",
       "\n",
       "           CREB3L4(+)   CREB5(+)   DDIT3(+)    EGR1(+)  ...   SNAI1(+)  \\\n",
       "Ep_FXYD2    -8.098529  69.319647  -7.907638  -7.948865  ...  -6.027041   \n",
       "Ep_PIFO    -10.019894 -17.666724  -16.36806   -7.99298  ...  -6.169635   \n",
       "Ep_VGLL1   -14.485431  -2.445519  15.268415  19.710925  ...   3.372175   \n",
       "Ep_TRIM54   -14.41601   9.643804   8.562352 -13.747384  ...  19.557156   \n",
       "Ep_KRT6A   -16.150391  -19.95731 -10.682488 -12.719774  ...   -9.19882   \n",
       "Ep_ZBED6   -10.295551   4.653797  -3.613779   2.116372  ...  -0.685113   \n",
       "Ep_MSMB    164.092813  -5.829087 -10.142274  -0.368031  ...  -9.099258   \n",
       "\n",
       "             SOX4(+)    SOX5(+)    SOX6(+)   SPDEF(+)   STAT2(+)    TCF4(+)  \\\n",
       "Ep_FXYD2  -12.680978  -8.848136  22.390709 -10.081475 -20.267605  -7.387333   \n",
       "Ep_PIFO   -16.978053  -9.229117  -9.328968 -10.591779  22.827962  -8.358187   \n",
       "Ep_VGLL1   51.294881 -13.379646  -0.762432 -14.665357   9.528974   0.487247   \n",
       "Ep_TRIM54  -11.72822  34.952035  19.040871  -1.370008 -29.360534  -4.345886   \n",
       "Ep_KRT6A  -12.441589 -16.698839 -17.989251 -20.632504  21.824079  19.293779   \n",
       "Ep_ZBED6    1.937398   4.411287  20.628104  -9.669867  -0.668157   2.845847   \n",
       "Ep_MSMB   -27.501054  -9.639122 -12.473322  104.39429 -31.995369 -21.927712   \n",
       "\n",
       "             TP63(+)    ZEB1(+)  ZNF233(+)  \n",
       "Ep_FXYD2  -11.980214 -10.554624  -2.378117  \n",
       "Ep_PIFO    28.731994  -7.449483  -8.826533  \n",
       "Ep_VGLL1   19.126396  -4.556643   1.489811  \n",
       "Ep_TRIM54 -12.582282 -17.764333  27.725785  \n",
       "Ep_KRT6A     6.73512  48.859822 -13.954431  \n",
       "Ep_ZBED6   -3.020064   -2.50314   9.234646  \n",
       "Ep_MSMB   -22.339022 -17.736027  -8.636614  \n",
       "\n",
       "[7 rows x 72 columns]"
      ]
     },
     "execution_count": 201,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "statmtx"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 203,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Ep_FXYD2</th>\n",
       "      <th>Ep_PIFO</th>\n",
       "      <th>Ep_VGLL1</th>\n",
       "      <th>Ep_TRIM54</th>\n",
       "      <th>Ep_KRT6A</th>\n",
       "      <th>Ep_ZBED6</th>\n",
       "      <th>Ep_MSMB</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>NR5A2(+)</th>\n",
       "      <td>111.005016</td>\n",
       "      <td>-10.578198</td>\n",
       "      <td>-14.321429</td>\n",
       "      <td>6.871851</td>\n",
       "      <td>-17.327948</td>\n",
       "      <td>-4.498371</td>\n",
       "      <td>-0.594094</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>PBX3(+)</th>\n",
       "      <td>81.003605</td>\n",
       "      <td>-10.114844</td>\n",
       "      <td>-12.64767</td>\n",
       "      <td>-11.671898</td>\n",
       "      <td>3.50761</td>\n",
       "      <td>-5.721162</td>\n",
       "      <td>4.825338</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>AR(+)</th>\n",
       "      <td>73.853036</td>\n",
       "      <td>-5.973529</td>\n",
       "      <td>1.223111</td>\n",
       "      <td>0.792764</td>\n",
       "      <td>-9.513275</td>\n",
       "      <td>-1.922975</td>\n",
       "      <td>-9.035171</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>JUN(+)</th>\n",
       "      <td>70.060493</td>\n",
       "      <td>-18.872157</td>\n",
       "      <td>1.982148</td>\n",
       "      <td>5.092525</td>\n",
       "      <td>-33.114898</td>\n",
       "      <td>-1.511761</td>\n",
       "      <td>8.67822</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>CREB5(+)</th>\n",
       "      <td>69.319647</td>\n",
       "      <td>-17.666724</td>\n",
       "      <td>-2.445519</td>\n",
       "      <td>9.643804</td>\n",
       "      <td>-19.95731</td>\n",
       "      <td>4.653797</td>\n",
       "      <td>-5.829087</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>FOSB(+)</th>\n",
       "      <td>42.257186</td>\n",
       "      <td>-16.572385</td>\n",
       "      <td>-4.383368</td>\n",
       "      <td>4.180887</td>\n",
       "      <td>-27.339143</td>\n",
       "      <td>0.653572</td>\n",
       "      <td>10.954352</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>JUNB(+)</th>\n",
       "      <td>30.789576</td>\n",
       "      <td>-4.829299</td>\n",
       "      <td>-18.573872</td>\n",
       "      <td>-20.200318</td>\n",
       "      <td>13.815355</td>\n",
       "      <td>-7.117866</td>\n",
       "      <td>-13.014554</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>HNF1B(+)</th>\n",
       "      <td>24.206903</td>\n",
       "      <td>-18.874111</td>\n",
       "      <td>-15.69572</td>\n",
       "      <td>63.360471</td>\n",
       "      <td>-34.898897</td>\n",
       "      <td>8.418233</td>\n",
       "      <td>-5.648267</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>MEIS2(+)</th>\n",
       "      <td>22.870567</td>\n",
       "      <td>-9.9129</td>\n",
       "      <td>-2.513198</td>\n",
       "      <td>31.750365</td>\n",
       "      <td>-25.766512</td>\n",
       "      <td>3.737336</td>\n",
       "      <td>-14.256965</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SOX6(+)</th>\n",
       "      <td>22.390709</td>\n",
       "      <td>-9.328968</td>\n",
       "      <td>-0.762432</td>\n",
       "      <td>19.040871</td>\n",
       "      <td>-17.989251</td>\n",
       "      <td>20.628104</td>\n",
       "      <td>-12.473322</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            Ep_FXYD2    Ep_PIFO   Ep_VGLL1  Ep_TRIM54   Ep_KRT6A   Ep_ZBED6  \\\n",
       "NR5A2(+)  111.005016 -10.578198 -14.321429   6.871851 -17.327948  -4.498371   \n",
       "PBX3(+)    81.003605 -10.114844  -12.64767 -11.671898    3.50761  -5.721162   \n",
       "AR(+)      73.853036  -5.973529   1.223111   0.792764  -9.513275  -1.922975   \n",
       "JUN(+)     70.060493 -18.872157   1.982148   5.092525 -33.114898  -1.511761   \n",
       "CREB5(+)   69.319647 -17.666724  -2.445519   9.643804  -19.95731   4.653797   \n",
       "FOSB(+)    42.257186 -16.572385  -4.383368   4.180887 -27.339143   0.653572   \n",
       "JUNB(+)    30.789576  -4.829299 -18.573872 -20.200318  13.815355  -7.117866   \n",
       "HNF1B(+)   24.206903 -18.874111  -15.69572  63.360471 -34.898897   8.418233   \n",
       "MEIS2(+)   22.870567    -9.9129  -2.513198  31.750365 -25.766512   3.737336   \n",
       "SOX6(+)    22.390709  -9.328968  -0.762432  19.040871 -17.989251  20.628104   \n",
       "\n",
       "            Ep_MSMB  \n",
       "NR5A2(+)  -0.594094  \n",
       "PBX3(+)    4.825338  \n",
       "AR(+)     -9.035171  \n",
       "JUN(+)      8.67822  \n",
       "CREB5(+)  -5.829087  \n",
       "FOSB(+)   10.954352  \n",
       "JUNB(+)  -13.014554  \n",
       "HNF1B(+)  -5.648267  \n",
       "MEIS2(+) -14.256965  \n",
       "SOX6(+)  -12.473322  "
      ]
     },
     "execution_count": 203,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "statmtx.T.sort_values('Ep_FXYD2', ascending=False).head(10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 204,
   "metadata": {},
   "outputs": [],
   "source": [
    "def plot_rss(rss, cell_type, csdict, top_n=5, max_n=None, ax=None):\n",
    "    if ax is None:\n",
    "        _, ax = plt.subplots(1, 1, figsize=(4, 4))\n",
    "    if max_n is None:\n",
    "        max_n = rss.shape[1]\n",
    "    data = rss.T[cell_type].sort_values(ascending=False)[0:max_n]\n",
    "    ax.plot(np.arange(len(data)), data, '.', color='lightgrey')\n",
    "    ax.set_ylim([floor(data.min() * 100.0) / 100.0, ceil(data.max() * 100.0) / 100.0])\n",
    "    ax.set_ylabel('RSS')\n",
    "    ax.set_xlabel('Regulon')\n",
    "    ax.set_title(cell_type)\n",
    "    ax.set_xticklabels([])\n",
    "\n",
    "    font = {\n",
    "        'color': csdict[cell_type],\n",
    "        'weight': 'normal',\n",
    "        'size': 4,\n",
    "    }\n",
    "\n",
    "    for idx, (regulon_name, rss_val) in enumerate(zip(data[0:top_n].index, data[0:top_n].values)):\n",
    "        ax.plot([idx, idx], [rss_val, rss_val], '.', c=csdict[cell_type])\n",
    "        ax.text(\n",
    "            idx + (max_n / 25),\n",
    "            rss_val,\n",
    "            regulon_name,\n",
    "            fontdict=font,\n",
    "            horizontalalignment='left',\n",
    "            verticalalignment='center',\n",
    "        )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 205,
   "metadata": {},
   "outputs": [],
   "source": [
    "from math import ceil, floor"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 206,
   "metadata": {},
   "outputs": [],
   "source": [
    "ndict = {}"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 207,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Ep_FXYD2 ['AR(+)', 'CREB5(+)', 'JUN(+)', 'NR5A2(+)', 'PBX3(+)']\n",
      "Ep_PIFO ['FOXJ1(+)', 'RFX3(+)']\n",
      "Ep_VGLL1 ['SOX4(+)']\n",
      "Ep_TRIM54 ['HNF1B(+)', 'HOXB5(+)', 'HOXB6(+)', 'HOXB7(+)', 'HOXC10(+)', 'ONECUT2(+)']\n",
      "Ep_KRT6A ['KLF8(+)', 'MAF(+)']\n",
      "Ep_ZBED6 []\n",
      "Ep_MSMB ['CREB3L1(+)', 'CREB3L4(+)', 'EGR2(+)', 'FOXA3(+)', 'SPDEF(+)']\n"
     ]
    }
   ],
   "source": [
    "for anno in statmtx.index:\n",
    "    print(anno, list(statmtx.T[statmtx.T[anno] > 50].index))\n",
    "    ndict[anno] = len(list(statmtx.T[statmtx.T[anno] > 50].index))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 210,
   "metadata": {},
   "outputs": [],
   "source": [
    "for anno in statmtx.index:\n",
    "    ndict[anno] = 5"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 231,
   "metadata": {},
   "outputs": [
    {
     "data": {
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Zfl2Se3b3O7r7quWT3X15d5+c5BeSvHdKjeOq6ldGaHX7AP89Se7Q3Sd094VDD3f317v7SUmePaXeU+Y5FhkAANj5CDQBAAA21msz2Z243JWZvittuWcn+aWB8Q8neWB3XzBrM9398SRHZLKrc3u7ZcZAsaoqyUkZ/h/zE0mO6O6vzdDLWzMJWK9YGrrRLO+/PqqqvTJ9B+WJ3X18d/94tTrdfVmSxyf52NBrkrxh6fcdwz8m+fXuvmLVJye9vSbJ2wam9k7ymJF6AgAAdgICTQAAgA1QVTeqqtcnOXrKI6/s7ktmqLNnkhcMTH0lydHd/ZO19tbd/5bk+QNTj1u6o3E1D85kp99y30xy1CzB2rJejpn1+euxJyfZc2D87CTPWEuh7t6Wya7h/x2YvkOSh621uQFfT/K07r52jev+IMnQml+dvyUAAGBnIdAEAADYgarqJlV1bJIvZvqRrKcnedWMJZ+cZN+B8WfNuvNtihOTLN/ZuUuS35lh7dOmjD93PT119/sy2W3KdNP+lo7v7mvWWmxpp+YLp0wft9Z6A17Q3T9c66Lu/naSTw5M3WP+lgAAgJ3Fls1uAAAAYCd056p68wrzW5JsTXKrJAcnueEKz346yaOXdsnN4tiBsS9090dnXD+ou6+uqhOTvGLZ1OFJXjZtXVXtk+RRA1Pndfc75mjpZRlnZ+B1TlXdI8ldBqbO7O4z5ij9t0n+NMl+y8YfVlX7dPf3B9bM4oJM7s5cr09mcizy9u5cVbuuZfcvAACw8xJoAgAArN3+GQ4W1+KqJK9O8tJZw8yq2j/JvQamTpmzl58a2gl376ra0t1XT1lz30x2ci43dPfhzLr7zKr6ryS3n6fOddT9poy/dZ6iS6H2PyU5ftlUZfI7f2SdpT+8nl2j2/nywNiWJDdL8p056gIAADsJR84CAABsrMuTvCTJQd39ojXszEySwzIJl5b7l1E6mxyL28vG9kjyiyusuc+U8feP0M8YNa6LDpky/sERar9vje+cxWfmWJsk350yvvecdQEAgJ2EQBMAAGBj7ZXk4Rm+B3M1Q/cGXpPkq3N1tKS7f5JJ4LrcrVZYdu+BsW1Jzh2hpX8focZ10dAu3cu6+/wRap89ZXzod57V+XOsTZJp97DuNWddAABgJ+HIWQAAgI13SJLPVdXR3f2BNaw7aGBsW5KTqoY2bq7L0PGx+6zw/FDY+ZWlcHReXxqhxnXRLQbGRvmuuvuSqvpOkgOXTR0wR9n13r35U1dNGd9tzroAAMBOQqAJAACwdqd194OGJqpqSyY7x26Xyb2DT0zygIFH90jyjqp6aHd/asb3Lg+ZkmT3zH+f52pWCjS3DoxdNNJ7x6pznVGT5HpoZ+LFI77movzs39rWOer9aI61AAAAjpwFAAAYU3df3d2XdvdZ3f367j40ySOTXDrw+K5J3l5Vt5yx/GbdGbjS0Z5bB8aGjq1dj2lHjV6f7Z3h/+XH+s6T5AcDYyuF2gAAADuUQBMAAGAHWzpW9tAMH7158yR/M2OpzTpic6XzbG8yMHblSO/94Uh1rkuGvu9k3F2QQ7X2HLE+AADAmgg0AQAANkB3n5fk6CQ9MP2QqjpmhjLXjNvVKIbCrz1Gqn3jkepcl0wLecf6zpPh7124DAAAbBqBJgAAwAbp7lOTnDhl+lVVtVqANxQeXtTdtYM/f7xCT5cNjI21m2+lo26vr36Q5NqB8TG/q6FaQ7uLAQAANoRAEwAAYGO9IMnFA+M/l+SZq6y9cGBss+82vGxgbL+Rat98pDo7wrSjX3eo7u4M35c55nc19PsJNAEAgE0j0AQAANhA3X15kpdPmX5+Va20u/EbA2O7VNXWuRtbv28NjN25qraMUPtuI9TYNjC26zwFq6qSbJ2nxpy+OzA2xneVqto3yS0HpobCdAAAgA0h0AQAANh4b0jyzYHxfbPyLs2zp4wfMm9Dc/jXgbFdk9x1hNp3H6HG0G7GeY/EvWWSG85ZYx5nDYztW1W3HqH23aeMD/3OAAAAG0KgCQAAsMG6e1uSV0yZfs4KuzTPmDL+oLmbWr8vTBl/5Ai1x6gxFGjeYs6ah865fl5nThl/xAi1p33n094JAACwwwk0AQAANsfJGd6ledMkzxha0N3nJfnawNQxVTXXMapzODPJTwbGnzRP0aq6T5I7zFNjyY44nvXIOdfP67NTxn9jnqJVdcMkTxiYujbJ5+epDQAAMA+BJgAAwCZYZZfmc6vqJlPm3jIwdmCS3x6lsTXq7u8nef/A1F2r6tFzlH7xHGu3d/bA2CFVtdt6ilXVgUkeN1dHc+rus5OcOzD1gKq6/xylj01ywMD4h5d+ZwAAgE0h0AQAANg8a96lmeSkJD8cGH9lVY1xb+V6nDRl/NUrBLNTVdWRGW8X5BcHxvZM8mvrrPfqJLusv53R/PWU8ROqas3/61fV3pkesP/VWusBAACMSaAJAACwSWbYpXnjgTUXJ3nVwPN7JXlfVd1ujN6q6gZV9diqutMMj5+a5JyB8dskeVdV3WgN771Hkn+Y9fkZnJrJkanL/cla+kqSqnpmkseP0tX8/i7D94PeM8lr1lKoqnZJ8vYk+w1MfzXJR9faHAAAwJgEmgAAAJtr2i7NmyU5bsqaP8vwUaq3T/LFqlp36FZVN6+q4zIJsv45yS1WW9Pd1yZ5WoaDwwcnObWqbj/Du5+Y5GOZhLNJsm3Wvlfo7VtLNZc7KMlblu6NXK2vG1TVS5KcMG8/Y+nuK5I8b8r0M6vqL2cJbJd2Zp6S5CFDr0ny9O7u9XcKAAAwP4EmAADAJlpll+bzpuzS3JbJPY4XD6zZO8kpVfWlqnpqVd1qpfdX1e5Vdd+qOr6qPpHku5kcMbpqALmsp89m+jGohyX5clW9uaoeUVW3qardqmqfqjq4qo6rqs8keVuSfbdb9/K19LCCaUemPiHJp6vq0Kqq5ZNVdZOqemwm4fFLt5s6N8mFI/W2bt39xiQfnDL9nCRnVdVjqmrX5ZNVtWdV/VaS/0gy7a7TE7r7E+N0CwAAsH5bNrsBAAAAcnKSP0xy62XjN0/ye0n+fPmC7v56VT08k+NA910+n+RuSd6UJFV1QZILklya5EeZ7IDculT/oCSr7lKc0fMzOfL0fgNzuyc5dukzi9MyCXpfOjB3zVqa6u73V9V7khw1MH1IkjOSfLeqvpTkkkzu2Nw/yd2TLN/leHkmYfKH1tLDDvTUJJ9LctuBubsleWeSy6vqnCTfyeS3PnBpbvcV6n4+k79JAACATSfQBAAA2GTdva2qXpHkDQPTz6uq13f3lQPrzqqqQ5O8O8lKd13+/NJnh+ruq5ZC1g8kecAcpc5K8pgMH2GbJD9eR82nJ7lHpn8Pt8jqx+temeRR3X3uwIbOTdHd36uqI5J8JMkdpzy2V4ZD5mk+k+TI7v6/efsDAAAYgyNnAQAAFsO0uzT3y2SX5qDuPi+TXZGvTXL1iP10kk8kOX9Ni7ovS3JEktdleiC5krckeVB3X5rJLtIhP1pr0e6+MMkDM7kbdD2+neSw7j5tnet3mO7+RpL7Jnn7nKWuzeTv6PCl3xEAAGAh2KEJAAAw3WUZPvL0/LFftLRL86lJDh2Y/pndmcvW/ijJs6rq9UmeleSYTHblrdU1Sb6Qyb2Mf9/dQwHrqrr7x0mOr6qTk7wwk6Ned1lhydVJTk3yyu4+fbvxrVOe/946+/pWVd0rk6NUn51ktxmWXZXkjUn+qLsvX897N8JSAHl0Vb0pyYszCW9ndW0mu2pf2t1f3AHtAQAAzKW6e7N7AAAAYERVdaMkhyc5LJNjVm+b5IAkeySpJFcsfS5O8p9JvpLk7CSn7YjQrqr2SvLLmdzbeGCSXTMJab+X5Jwkpy/tyFy+7uGZhKvLHdDd6wo1t6u9f5IjkzwsyV0yuU90n0wCzAuTfDmTkPWd3X3RPO/aDFV1UJJHZXL0750y+d5vnMnO2x8m+VYm3/0ZSd7b3f+zSa0CAACsSqAJAADAQqqql2Wy23B7l3b3TTejHwAAADaHOzQBAABYVA8fGDtrw7sAAABgUwk0AQAAWDhV9YAk9xyY+tQGtwIAAMAmc+QsAAAAC6WqtiQ5Pcn9Bqbv2N1f2+CWAAAA2ER2aAIAADCaqqoRyvxFhsPMM4SZAAAA1z8CTQAAAMb0pao6tqp2WevCqtqrqk5J8vtTHnn5fK0BAACwM3LkLAAAAKOpqp/+k3lJkncneVeSz3X3ZVOeryQHJ3lCkuOSbJ1S+r3dfdSYvQIAALBzEGgCAAAwmu0CzeXOT/KNJJcluTLJXkn2TXLXJPusUvb8JPfq7ktGaRIAAICdikATAACA0awQaK7XBUkO7+7/HrkuAAAAOwl3aAIAALCo3pvknsJMAACA6zeBJgAAAGN6SpIPJtk2R42PJ3lIdx/lmFkAAAAcOQsAAMDoqmqPJPdJcr8kBye5TZJbZXJ35h5JtiS5Ksn3k3w7yTlJzkzyoe7+zia0DAAAwIISaAIAAAAAAAALy5GzAAAAAAAAwMISaAIAAAAAAAALS6AJAAAAAAAALCyBJgAAAAAAALCwBJoAAAAAAADAwhJoAgAAAAAAAAtLoAkAAAAAAAAsLIEmAAAAAAAAsLAEmgAAAAAAAMDCEmgCAAAAAAAAC0ugCQAAAAAAACwsgSYAAAAAAACwsASaAAAAAAAAwMISaAIAAAAAAAALS6AJAAAAAAAALCyBJgAAAAAAALCwBJoAAAAAAADAwhJoAgAAAAAAAAtLoAkAAAAAAAAsLIEmAAAAAAAAsLAEmgAAAAAAAMDCEmgCAAAAAAAAC0ugCQAAAAAAACwsgSYAAAAAAACwsASaAAAAAAAAwMISaAIAAAAAAAALS6AJAAAAAAAALCyBJgAAAAAAALCwBJoAAAAAAADAwvp/wM5YIaR45FsAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 1800x1800 with 6 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "cats = sorted(list(set(rss_cellType.index)))\n",
    "cats = 'Ep_FXYD2,Ep_MSMB,Ep_TRIM54,Ep_VGLL1,Ep_PIFO,Ep_KRT6A'.split(\",\")\n",
    "\n",
    "\n",
    "fig = plt.figure(figsize=(6,6))\n",
    "for c,num in zip(cats, range(1,len(cats)+1)):\n",
    "    x=rss_cellType.T[c]\n",
    "    ax = fig.add_subplot(2,3,num)\n",
    "    plot_rss(rss_cellType, c, csdict,max_n=None, top_n=ndict[c], ax=ax)\n",
    "    ##ax.set_ylim( x.min()-(x.max()-x.min())*0.05 , x.max()+(x.max()-x.min())*0.05)\n",
    "    ax.set_ylim(0,0.7)\n",
    "    for t in ax.texts:\n",
    "        t.set_fontsize(9)\n",
    "        t.set_c(csdict[c])\n",
    "    ax.set_ylabel('')\n",
    "    ax.set_xlabel('')\n",
    "    ax.set_xticks([])\n",
    "    ax.set_title(c, color=csdict[c])\n",
    "    adjust_text(ax.texts, autoalign='xy', ha='right', va='bottom', arrowprops=dict(arrowstyle='-',color='lightgrey', lw=0.3), precision=0.001)\n",
    " \n",
    "fig.text(0.5, 0.0, 'Regulon', ha='center', va='center', size='x-large')\n",
    "fig.text(0.00, 0.5, 'Regulon specificity score (RSS)', ha='center', va='center', rotation='vertical', size='x-large')\n",
    "plt.tight_layout()\n",
    "plt.rcParams.update({\n",
    "    'figure.autolayout': True,\n",
    "        'figure.titlesize': 'large' ,\n",
    "        'axes.labelsize': 'medium',\n",
    "        'axes.titlesize':'large',\n",
    "        'xtick.labelsize':'medium',\n",
    "        'ytick.labelsize':'medium'\n",
    "        })\n",
    "\n",
    "plt.savefig('/home/srkim/02_PancCa/16_FIGURE/Fig4/specific.pdf', bbox_inches='tight', dpi=300)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>AR(+)</th>\n",
       "      <th>ATF3(+)</th>\n",
       "      <th>BACH1(+)</th>\n",
       "      <th>BCL6(+)</th>\n",
       "      <th>BHLHE40(+)</th>\n",
       "      <th>CREB3L1(+)</th>\n",
       "      <th>CREB3L4(+)</th>\n",
       "      <th>CREB5(+)</th>\n",
       "      <th>DDIT3(+)</th>\n",
       "      <th>EGR1(+)</th>\n",
       "      <th>...</th>\n",
       "      <th>SNAI1(+)</th>\n",
       "      <th>SOX4(+)</th>\n",
       "      <th>SOX5(+)</th>\n",
       "      <th>SOX6(+)</th>\n",
       "      <th>SPDEF(+)</th>\n",
       "      <th>STAT2(+)</th>\n",
       "      <th>TCF4(+)</th>\n",
       "      <th>TP63(+)</th>\n",
       "      <th>ZEB1(+)</th>\n",
       "      <th>ZNF233(+)</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Cell</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>GEX_45_MM_AAACGGGAGACAAGCC-1-0</th>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GEX_45_MM_AAAGATGAGCTCCTCT-1-0</th>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GEX_45_MM_AAAGATGTCGCTAGCG-1-0</th>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GEX_45_MM_AAAGCAAAGGCGACAT-1-0</th>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GEX_45_MM_AAAGCAAAGGGTCGAT-1-0</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 72 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                                AR(+)  ATF3(+)  BACH1(+)  BCL6(+)  BHLHE40(+)  \\\n",
       "Cell                                                                            \n",
       "GEX_45_MM_AAACGGGAGACAAGCC-1-0      1        0         0        0           0   \n",
       "GEX_45_MM_AAAGATGAGCTCCTCT-1-0      1        0         0        0           0   \n",
       "GEX_45_MM_AAAGATGTCGCTAGCG-1-0      1        0         0        0           0   \n",
       "GEX_45_MM_AAAGCAAAGGCGACAT-1-0      1        0         0        0           0   \n",
       "GEX_45_MM_AAAGCAAAGGGTCGAT-1-0      0        0         0        1           0   \n",
       "\n",
       "                                CREB3L1(+)  CREB3L4(+)  CREB5(+)  DDIT3(+)  \\\n",
       "Cell                                                                         \n",
       "GEX_45_MM_AAACGGGAGACAAGCC-1-0           0           0         0         0   \n",
       "GEX_45_MM_AAAGATGAGCTCCTCT-1-0           0           0         0         0   \n",
       "GEX_45_MM_AAAGATGTCGCTAGCG-1-0           0           0         0         0   \n",
       "GEX_45_MM_AAAGCAAAGGCGACAT-1-0           0           0         0         0   \n",
       "GEX_45_MM_AAAGCAAAGGGTCGAT-1-0           0           0         0         0   \n",
       "\n",
       "                                EGR1(+)  ...  SNAI1(+)  SOX4(+)  SOX5(+)  \\\n",
       "Cell                                     ...                               \n",
       "GEX_45_MM_AAACGGGAGACAAGCC-1-0        0  ...         0        0        0   \n",
       "GEX_45_MM_AAAGATGAGCTCCTCT-1-0        0  ...         0        0        0   \n",
       "GEX_45_MM_AAAGATGTCGCTAGCG-1-0        0  ...         0        0        0   \n",
       "GEX_45_MM_AAAGCAAAGGCGACAT-1-0        0  ...         0        0        0   \n",
       "GEX_45_MM_AAAGCAAAGGGTCGAT-1-0        0  ...         0        0        0   \n",
       "\n",
       "                                SOX6(+)  SPDEF(+)  STAT2(+)  TCF4(+)  TP63(+)  \\\n",
       "Cell                                                                            \n",
       "GEX_45_MM_AAACGGGAGACAAGCC-1-0        1         0         0        0        0   \n",
       "GEX_45_MM_AAAGATGAGCTCCTCT-1-0        0         0         0        0        1   \n",
       "GEX_45_MM_AAAGATGTCGCTAGCG-1-0        0         0         0        0        0   \n",
       "GEX_45_MM_AAAGCAAAGGCGACAT-1-0        0         0         0        0        0   \n",
       "GEX_45_MM_AAAGCAAAGGGTCGAT-1-0        0         0         0        0        0   \n",
       "\n",
       "                                ZEB1(+)  ZNF233(+)  \n",
       "Cell                                                \n",
       "GEX_45_MM_AAACGGGAGACAAGCC-1-0        0          0  \n",
       "GEX_45_MM_AAAGATGAGCTCCTCT-1-0        0          0  \n",
       "GEX_45_MM_AAAGATGTCGCTAGCG-1-0        0          0  \n",
       "GEX_45_MM_AAAGCAAAGGCGACAT-1-0        0          0  \n",
       "GEX_45_MM_AAAGCAAAGGGTCGAT-1-0        1          0  \n",
       "\n",
       "[5 rows x 72 columns]"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "binary_mtx, auc_thresholds = binarize( auc_mtx, num_workers=25 )\n",
    "binary_mtx.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/srkim/.conda/envs/pyscenic/lib/python3.7/site-packages/seaborn/distributions.py:2619: FutureWarning: `distplot` is a deprecated function and will be removed in a future version. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms).\n",
      "  warnings.warn(msg, FutureWarning)\n",
      "/home/srkim/.conda/envs/pyscenic/lib/python3.7/site-packages/seaborn/distributions.py:2619: FutureWarning: `distplot` is a deprecated function and will be removed in a future version. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms).\n",
      "  warnings.warn(msg, FutureWarning)\n",
      "/home/srkim/.conda/envs/pyscenic/lib/python3.7/site-packages/seaborn/distributions.py:2619: FutureWarning: `distplot` is a deprecated function and will be removed in a future version. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms).\n",
      "  warnings.warn(msg, FutureWarning)\n",
      "/home/srkim/.conda/envs/pyscenic/lib/python3.7/site-packages/seaborn/distributions.py:2619: FutureWarning: `distplot` is a deprecated function and will be removed in a future version. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms).\n",
      "  warnings.warn(msg, FutureWarning)\n"
     ]
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1800x600 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "r = ['NR5A2(+)','AR(+)','PBX3(+)','RFX3(+)']\n",
    "\n",
    "fig, axs = plt.subplots(1,4, figsize=(12, 4), dpi=150, sharey=False)\n",
    "for i,ax in enumerate(axs):\n",
    "    sns.distplot(auc_mtx[ r[i] ], ax=ax, norm_hist=True, bins=100)\n",
    "    ax.plot( [ auc_thresholds[ r[i] ] ]*2, ax.get_ylim(), 'r:')\n",
    "    ax.title.set_text( r[i] )\n",
    "    ax.set_xlabel('')\n",
    "    \n",
    "fig.text(-0.01, 0.5, 'Frequency', ha='center', va='center', rotation='vertical', size='large')\n",
    "fig.text(0.5, -0.01, 'AUC', ha='center', va='center', rotation='horizontal', size='large')\n",
    "\n",
    "fig.tight_layout()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "pyscenic",
   "language": "python",
   "name": "pyscenic"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.7.10"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}