ibd-paper.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# AI-guided Discovery of a Barrier-Protective Therapy in Inflammatory Bowel Disease\n",
    "\n",
    "Authors: Debashis Sahoo1-3†*, Lee Swanson4†, Ibrahim M. Sayed5†$, Gajanan D. Katkar4, Stella-Rita Ibeawuchi5, Yash Mittal6, Rama F. Pranadinata4, Courtney Tindle4, Mackenzie Fuller4, Dominik L. Stec4, John T. Chang6, William J. Sandborn6, Soumita Das5* and Pradipta Ghosh3, 4, 6, 7*\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "# IMPORT STATEMENTS\n",
    "import cv2\n",
    "import re\n",
    "import numpy as np\n",
    "from matplotlib import pyplot as plt\n",
    "from mpl_toolkits.axes_grid1 import make_axes_locatable, axes_size\n",
    "import matplotlib.patches as patches\n",
    "import matplotlib.colors as colors\n",
    "import PIL\n",
    "import math\n",
    "get_ipython().run_line_magic('matplotlib', 'inline')\n",
    "import pandas as pd\n",
    "import seaborn as sns\n",
    "import json\n",
    "from scipy.stats import fisher_exact, ttest_ind\n",
    "from collections import Counter\n",
    "from pprint import pprint\n",
    "import os\n",
    "import pickle\n",
    "import sys\n",
    "sys.path.append(\"/booleanfs2/sahoo/Hegemon\")\n",
    "import StepMiner as smn\n",
    "import HegemonUtil as hu\n",
    "acolor = [\"#00CC00\", \"#D8A03D\",\"#EC008C\",\n",
    "          'cyan', \"#B741DC\", \"#808285\",\n",
    "          'blue', 'black', 'green', 'red',\n",
    "          'orange', 'brown', 'pink', 'purple']\n",
    "\n",
    "try:\n",
    "    reload  # Python 2.7\n",
    "except NameError:\n",
    "    try:\n",
    "        from importlib import reload  # Python 3.4+\n",
    "    except ImportError:\n",
    "        from imp import reload  # Python 3.0 - 3.3"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Counting Samples"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Arijs 2018 UC (n = 178)\n",
      "GSE73661 http://hegemon.ucsd.edu/Tools/explore.php?key=polyps&id=PLP10\n",
      "178 [12, 30, 52, 67, 17] GSE73661 http://hegemon.ucsd.edu/Tools/explore.php?key=polyps&id=PLP10 PLP10\n",
      "Counter({2: 113, 3: 46, 0: 12, 1: 7, None: 2})\n",
      "Wu 2007 IBD (n = 36)\n",
      "GSE6731 http://hegemon.ucsd.edu/Tools/explore.php?key=polyps&id=PLP12\n",
      "16 [4, 5, 7] GSE6731 http://hegemon.ucsd.edu/Tools/explore.php?key=polyps&id=PLP12 PLP12\n"
     ]
    }
   ],
   "source": [
    "import bone\n",
    "reload(bone)\n",
    "ana = bone.IBDAnalysis()\n",
    "ana.getArijs2018Df()\n",
    "atype = ana.getSurvName(\"c Title\")\n",
    "atype = [re.sub(\"_.*\", \"\", str(k)) for k in atype]\n",
    "len(hu.uniq(atype))\n",
    "rtype = ana.getSurvName(\"c induction therapy_maintenance therapy\")\n",
    "rtypes = ['CO', 'PLAC', 'VDZ', 'IFX']\n",
    "ahash = {'plac_plac':1, 'vdz_vdz4w':2, 'vdz_plac':2, 'vdz_vdz8w':2,\n",
    "        'vdz4w':2}\n",
    "for i in range(len(rtypes)):\n",
    "    ahash[rtypes[i]] = i\n",
    "rval = [ahash[i] if i in ahash else None for i in rtype]\n",
    "print(Counter(rval))\n",
    "ana.getWu2007Df()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Figure 2D and S1G: "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[1743, 1243, 14, 1, 864, 779, 394, 111, 2, 21, 2, 3, 594, 1727, 1, 2, 933, 165, 977, 21, 3]\n",
      "[111, 394, 779]\n",
      "[-3, -2, -1]\n"
     ]
    }
   ],
   "source": [
    "import bone\n",
    "reload(bone)\n",
    "ng = [0, 7, 6, 5, 1, 16, 17]\n",
    "genes, wt1, l1 = bone.getGeneGroups([ng[j] for j in [1, 2, 3]], [-3, -2, -1], 1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 172,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[1743, 1243, 14, 1, 864, 779, 394, 111, 2, 21, 2, 3, 594, 1727, 1, 933, 165, 977, 21, 3]\n",
      "[111, 394, 779]\n",
      "[-3, -2, -1]\n",
      "Peters 2017 IBD (n = 134)\n",
      "GSE83687 http://hegemon.ucsd.edu/Tools/explore.php?key=polyps&id=PLP7\n",
      "134 [60, 32, 42] GSE83687 http://hegemon.ucsd.edu/Tools/explore.php?key=polyps&id=PLP7 PLP7\n",
      "[111, 394, 779]\n",
      "40.458937198070686 36.24661246612528\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 600x600 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "import HegemonUtil as hu\n",
    "reload(hu)\n",
    "import bone\n",
    "reload(bone)\n",
    "ng = [0, 7, 6, 5, 1, 16, 17]\n",
    "genes, wt1, l1 = bone.getGeneGroups([ng[j] for j in [1, 2, 3]], [-3, -2, -1], 1)\n",
    "ana = bone.IBDAnalysis()\n",
    "ana.getPetersDf()\n",
    "ana.orderDataDf(l1, wt1)\n",
    "ofile = \"results/heatmap-test.pdf\"\n",
    "params = {'dx': 100, 'dy': 10, 'spaceAnn': 30, 'tAnn': 1, 'widthAnn':3,\n",
    "          'sy': 35, 'thr': 1, 'w': 6, 'h': 6,\n",
    "          'genes': genes, 'atypes': ana.atypes,'cval': ana.cval,\n",
    "          'tl': 6, 'tw': 0.25, 'ts': 10, 'tsi': -100}\n",
    "i1 = ana.i1\n",
    "f_ranks = ana.f_ranks\n",
    "ana.params = {'genes': genes,'atypes': ana.atypes,'cval': ana.cval}\n",
    "ana.params.update(params)\n",
    "ax, divider = bone.plotHeatmap(ofile, ana.data, ana.col_labels,\n",
    "        ana.row_labels, ana.params)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Figure 2E"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 173,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Wu 2007 IBD (n = 36)\n",
      "GSE6731 http://hegemon.ucsd.edu/Tools/explore.php?key=polyps&id=PLP12\n",
      "16 [4, 12] GSE6731 http://hegemon.ucsd.edu/Tools/explore.php?key=polyps&id=PLP12 PLP12\n",
      "0 [[1, 2, 3], [-3, -2, -1]]\n",
      "[1743, 1243, 14, 1, 864, 779, 394, 111, 2, 21, 2, 3, 594, 1727, 1, 933, 165, 977, 21, 3]\n",
      "[111, 394, 779]\n",
      "[-3, -2, -1]\n",
      "[84, 270, 519]\n",
      "ROC-AUC 1.00\n",
      "[774.7764207326995, 6.496217843939148, 774.2764207326995, 775.2764207326995]\n",
      "44.538771252172275 774.7764207326995\n",
      "1 [[2, 3, 4], [-2, -1, 1]]\n",
      "[1743, 1243, 14, 1, 864, 779, 394, 111, 2, 21, 2, 3, 594, 1727, 1, 933, 165, 977, 21, 3]\n",
      "[394, 779, 1243]\n",
      "[-2, -1, 1]\n",
      "[270, 519, 1128]\n",
      "ROC-AUC 0.90\n",
      "[100.80899444110366, 13.082529563044076, 100.30899444110366, 101.30899444110366]\n",
      "60.442881752664064 100.80899444110366\n",
      "2 [[3, 4, 6], [-1, 1, 2]]\n",
      "[1743, 1243, 14, 1, 864, 779, 394, 111, 2, 21, 2, 3, 594, 1727, 1, 933, 165, 977, 21, 3]\n",
      "[779, 1243, 977]\n",
      "[-1, 1, 2]\n",
      "[519, 1128, 890]\n",
      "ROC-AUC 0.69\n",
      "[-1345.0333346660082, 10.006439207472033, -1345.5333346660082, -1344.5333346660082]\n",
      "96.80332622976206 -1345.0333346660082\n",
      "3 [[3, 5, 6], [-1, 1, 2]]\n",
      "[1743, 1243, 14, 1, 864, 779, 394, 111, 2, 21, 2, 3, 594, 1727, 1, 933, 165, 977, 21, 3]\n",
      "[779, 165, 977]\n",
      "[-1, 1, 2]\n",
      "[519, 140, 890]\n",
      "ROC-AUC 0.69\n",
      "[-766.202775692373, 10.73264398555652, -766.702775692373, -765.702775692373]\n",
      "69.03316486483133 -766.202775692373\n",
      "4 [[4, 5, 6], [1, 1, 1]]\n",
      "[1743, 1243, 14, 1, 864, 779, 394, 111, 2, 21, 2, 3, 594, 1727, 1, 933, 165, 977, 21, 3]\n",
      "[1243, 165, 977]\n",
      "[1, 1, 1]\n",
      "[1128, 140, 890]\n",
      "ROC-AUC 0.69\n",
      "[-1270.894047368723, 8.7517998748073, -1271.394047368723, -1270.394047368723]\n",
      "60.033984130580414 -1270.894047368723\n",
      "5 [[1, 3, 4], [-2, -1, 1]]\n",
      "[1743, 1243, 14, 1, 864, 779, 394, 111, 2, 21, 2, 3, 594, 1727, 1, 933, 165, 977, 21, 3]\n",
      "[111, 779, 1243]\n",
      "[-2, -1, 1]\n",
      "[84, 519, 1128]\n",
      "ROC-AUC 0.85\n",
      "[-164.98815799274186, 12.58894860309483, -165.48815799274186, -164.48815799274186]\n",
      "49.077489801870996 -164.98815799274186\n",
      "6 [[1, 3, 5], [-2, -1, 1]]\n",
      "[1743, 1243, 14, 1, 864, 779, 394, 111, 2, 21, 2, 3, 594, 1727, 1, 933, 165, 977, 21, 3]\n",
      "[111, 779, 165]\n",
      "[-2, -1, 1]\n",
      "[84, 519, 140]\n",
      "ROC-AUC 1.00\n",
      "[354.48660278482174, 5.932793906913944, 353.98660278482174, 354.98660278482174]\n",
      "26.201668483633455 354.48660278482174\n",
      "7 [[2, 3, 5], [-2, -1, 1]]\n",
      "[1743, 1243, 14, 1, 864, 779, 394, 111, 2, 21, 2, 3, 594, 1727, 1, 933, 165, 977, 21, 3]\n",
      "[394, 779, 165]\n",
      "[-2, -1, 1]\n",
      "[270, 519, 140]\n",
      "ROC-AUC 1.00\n",
      "[604.9452475744235, 5.724483332008169, 604.4452475744235, 605.4452475744235]\n",
      "36.547731075849455 604.9452475744235\n",
      "8 [[1, 2, 3, 4], [-3, -2, -1, 1]]\n",
      "[1743, 1243, 14, 1, 864, 779, 394, 111, 2, 21, 2, 3, 594, 1727, 1, 933, 165, 977, 21, 3]\n",
      "[111, 394, 779, 1243]\n",
      "[-3, -2, -1, 1]\n",
      "[84, 270, 519, 1128]\n",
      "ROC-AUC 0.96\n",
      "[227.27737032671695, 10.201346575520228, 226.77737032671695, 227.77737032671695]\n",
      "70.47235698476513 227.27737032671695\n",
      "9 [[1, 2, 3, 5], [-3, -2, -1, 1]]\n",
      "[1743, 1243, 14, 1, 864, 779, 394, 111, 2, 21, 2, 3, 594, 1727, 1, 933, 165, 977, 21, 3]\n",
      "[111, 394, 779, 165]\n",
      "[-3, -2, -1, 1]\n",
      "[84, 270, 519, 140]\n",
      "ROC-AUC 1.00\n",
      "[722.6830637005194, 5.817102732247946, 722.1830637005194, 723.1830637005194]\n",
      "48.3768694532241 722.6830637005194\n",
      "10 [[1, 2, 3, 5, 6], [-3, -2, -1, 1, 2]]\n",
      "[1743, 1243, 14, 1, 864, 779, 394, 111, 2, 21, 2, 3, 594, 1727, 1, 933, 165, 977, 21, 3]\n",
      "[111, 394, 779, 165, 977]\n",
      "[-3, -2, -1, 1, 2]\n",
      "[84, 270, 519, 140, 890]\n",
      "ROC-AUC 0.92\n",
      "[-222.4574922370935, 9.92179709312269, -222.9574922370935, -221.9574922370935]\n",
      "95.43476725846567 -222.4574922370935\n",
      "11 [[1, 2, 3, 4, 5, 6], [-3, -2, -1, 1, 2, 3]]\n",
      "[1743, 1243, 14, 1, 864, 779, 394, 111, 2, 21, 2, 3, 594, 1727, 1, 933, 165, 977, 21, 3]\n",
      "[111, 394, 779, 1243, 165, 977]\n",
      "[-3, -2, -1, 1, 2, 3]\n",
      "[84, 270, 519, 1128, 140, 890]\n",
      "ROC-AUC 0.79\n",
      "[-1437.2995969897556, 10.169776385336746, -1437.7995969897556, -1436.7995969897556]\n",
      "152.48424387675686 -1437.2995969897556\n",
      "                            OLS Regression Results                            \n",
      "==============================================================================\n",
      "Dep. Variable:                      y   R-squared:                       0.429\n",
      "Model:                            OLS   Adj. R-squared:                  0.341\n",
      "Method:                 Least Squares   F-statistic:                     4.875\n",
      "Date:                Thu, 21 May 2020   Prob (F-statistic):             0.0263\n",
      "Time:                        11:44:51   Log-Likelihood:                -4.8343\n",
      "No. Observations:                  16   AIC:                             15.67\n",
      "Df Residuals:                      13   BIC:                             17.99\n",
      "Df Model:                           2                                         \n",
      "Covariance Type:            nonrobust                                         \n",
      "==============================================================================\n",
      "                 coef    std err          t      P>|t|      [0.025      0.975]\n",
      "------------------------------------------------------------------------------\n",
      "Intercept      0.4286      0.137      3.122      0.008       0.132       0.725\n",
      "c0             0.5714      0.213      2.687      0.019       0.112       1.031\n",
      "c1          8.327e-17      0.244   3.42e-16      1.000      -0.526       0.526\n",
      "==============================================================================\n",
      "Omnibus:                        0.798   Durbin-Watson:                   1.690\n",
      "Prob(Omnibus):                  0.671   Jarque-Bera (JB):                0.691\n",
      "Skew:                           0.436   Prob(JB):                        0.708\n",
      "Kurtosis:                       2.476   Cond. No.                         3.84\n",
      "==============================================================================\n",
      "\n",
      "Warnings:\n",
      "[1] Standard Errors assume that the covariance matrix of the errors is correctly specified.\n",
      "Intercept\t0.43\t(0.13 - 0.73)\t0.008\n",
      "c0\t0.57\t(0.11 - 1.03)\t0.019\n",
      "c1\t0.00\t(-0.53 - 0.53)\t1.000\n",
      "                Name coeff lower 0.95 upper 0.95 pvalues codes\n",
      "Intercept  Intercept  0.43       0.13       0.73   0.008    **\n",
      "c0                c0  0.57       0.11       1.03   0.019     *\n",
      "c1                c1  0.00      -0.53       0.53   1.000      \n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/usr/local/lib/python3.6/dist-packages/scipy/stats/stats.py:1416: UserWarning: kurtosistest only valid for n>=20 ... continuing anyway, n=16\n",
      "  \"anyway, n=%i\" % int(n))\n"
     ]
    },
    {
     "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>Name</th>\n",
       "      <th>coeff</th>\n",
       "      <th>lower 0.95</th>\n",
       "      <th>upper 0.95</th>\n",
       "      <th>pvalues</th>\n",
       "      <th>codes</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <td>Intercept</td>\n",
       "      <td>Intercept</td>\n",
       "      <td>4.285714e-01</td>\n",
       "      <td>0.132055</td>\n",
       "      <td>0.725088</td>\n",
       "      <td>0.008089</td>\n",
       "      <td>**</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>c0</td>\n",
       "      <td>c0</td>\n",
       "      <td>5.714286e-01</td>\n",
       "      <td>0.112067</td>\n",
       "      <td>1.030790</td>\n",
       "      <td>0.018636</td>\n",
       "      <td>*</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>c1</td>\n",
       "      <td>c1</td>\n",
       "      <td>8.326673e-17</td>\n",
       "      <td>-0.526264</td>\n",
       "      <td>0.526264</td>\n",
       "      <td>1.000000</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                Name         coeff  lower 0.95  upper 0.95   pvalues codes\n",
       "Intercept  Intercept  4.285714e-01    0.132055    0.725088  0.008089    **\n",
       "c0                c0  5.714286e-01    0.112067    1.030790  0.018636     *\n",
       "c1                c1  8.326673e-17   -0.526264    0.526264  1.000000      "
      ]
     },
     "execution_count": 173,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import bone\n",
    "reload(bone)\n",
    "ng = [0, 7, 6, 5, 1, 16, 17]\n",
    "ana = bone.IBDAnalysis()\n",
    "ana.getWu2007Df(2)\n",
    "\n",
    "opts = [ [[1, 2, 3], [-3, -2, -1]],\n",
    "        [[2, 3, 4], [-2, -1, 1]],\n",
    "        [[3, 4, 6], [-1, 1, 2]],\n",
    "        [[3, 5, 6], [-1, 1, 2]],\n",
    "        [[4, 5, 6], [1, 1, 1]],\n",
    "        [[1, 3, 4], [-2, -1, 1]],\n",
    "        [[1, 3, 5], [-2, -1, 1]],\n",
    "        [[2, 3, 5], [-2, -1, 1]],\n",
    "        [[1, 2, 3, 4], [-3, -2, -1, 1]],\n",
    "        [[1, 2, 3, 5], [-3, -2, -1, 1]],\n",
    "        [[1, 2, 3, 5, 6], [-3, -2, -1, 1, 2]],\n",
    "        [[1, 2, 3, 4, 5, 6], [-3, -2, -1, 1, 2, 3]]]\n",
    "\n",
    "res = []\n",
    "for i in range(len(opts)):\n",
    "    print (i, opts[i])\n",
    "    genes, wt1, l1 = bone.getGeneGroups([ng[j] for j in opts[i][0]], opts[i][1], 0)\n",
    "    c_dict, fpr, tpr, roc_auc = bone.processGeneGroupsDf(ana, l1, wt1)\n",
    "    res += [[c_dict, fpr, tpr, roc_auc]]\n",
    "\n",
    "actual = [1 if ana.aval[i] >= 1 else 0 for i in ana.i1]\n",
    "data_list = { 'y': actual }\n",
    "for i in range(len(opts)):\n",
    "    id1 = 'c' + str(i)\n",
    "    c = [res[i][0][j] for j in ana.i1]\n",
    "    data_list[id1] = c\n",
    "df1 = pd.DataFrame(data_list)\n",
    "\n",
    "bone.printOLS('y ~ c0 + c1', df1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 174,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                            OLS Regression Results                            \n",
      "==============================================================================\n",
      "Dep. Variable:                      y   R-squared:                       0.494\n",
      "Model:                            OLS   Adj. R-squared:                  0.368\n",
      "Method:                 Least Squares   F-statistic:                     3.909\n",
      "Date:                Thu, 21 May 2020   Prob (F-statistic):             0.0369\n",
      "Time:                        11:45:01   Log-Likelihood:                -3.8575\n",
      "No. Observations:                  16   AIC:                             15.71\n",
      "Df Residuals:                      12   BIC:                             18.81\n",
      "Df Model:                           3                                         \n",
      "Covariance Type:            nonrobust                                         \n",
      "==============================================================================\n",
      "                 coef    std err          t      P>|t|      [0.025      0.975]\n",
      "------------------------------------------------------------------------------\n",
      "Intercept      0.3793      0.140      2.708      0.019       0.074       0.684\n",
      "c1            -0.0552      0.065     -0.848      0.413      -0.197       0.087\n",
      "c2             0.1149      0.092      1.248      0.236      -0.086       0.316\n",
      "c3             0.1149      0.092      1.248      0.236      -0.086       0.316\n",
      "c4             0.1149      0.092      1.248      0.236      -0.086       0.316\n",
      "c5            -0.0552      0.065     -0.848      0.413      -0.197       0.087\n",
      "c8            -0.0552      0.065     -0.848      0.413      -0.197       0.087\n",
      "c10           -0.0552      0.065     -0.848      0.413      -0.197       0.087\n",
      "c11           -0.0552      0.065     -0.848      0.413      -0.197       0.087\n",
      "c0             0.5517      0.209      2.642      0.021       0.097       1.007\n",
      "==============================================================================\n",
      "Omnibus:                        1.393   Durbin-Watson:                   1.801\n",
      "Prob(Omnibus):                  0.498   Jarque-Bera (JB):                0.886\n",
      "Skew:                           0.559   Prob(JB):                        0.642\n",
      "Kurtosis:                       2.720   Cond. No.                     1.94e+34\n",
      "==============================================================================\n",
      "\n",
      "Warnings:\n",
      "[1] Standard Errors assume that the covariance matrix of the errors is correctly specified.\n",
      "[2] The smallest eigenvalue is 1.27e-67. This might indicate that there are\n",
      "strong multicollinearity problems or that the design matrix is singular.\n",
      "Intercept\t0.38\t(0.07 - 0.68)\t0.019\n",
      "c1\t-0.06\t(-0.20 - 0.09)\t0.413\n",
      "c2\t0.11\t(-0.09 - 0.32)\t0.236\n",
      "c3\t0.11\t(-0.09 - 0.32)\t0.236\n",
      "c4\t0.11\t(-0.09 - 0.32)\t0.236\n",
      "c5\t-0.06\t(-0.20 - 0.09)\t0.413\n",
      "c8\t-0.06\t(-0.20 - 0.09)\t0.413\n",
      "c10\t-0.06\t(-0.20 - 0.09)\t0.413\n",
      "c11\t-0.06\t(-0.20 - 0.09)\t0.413\n",
      "c0\t0.55\t(0.10 - 1.01)\t0.021\n",
      "                Name coeff lower 0.95 upper 0.95 pvalues codes\n",
      "Intercept  Intercept  0.38       0.07       0.68   0.019     *\n",
      "c1                c1 -0.06      -0.20       0.09   0.413      \n",
      "c2                c2  0.11      -0.09       0.32   0.236      \n",
      "c3                c3  0.11      -0.09       0.32   0.236      \n",
      "c4                c4  0.11      -0.09       0.32   0.236      \n",
      "c5                c5 -0.06      -0.20       0.09   0.413      \n",
      "c8                c8 -0.06      -0.20       0.09   0.413      \n",
      "c10              c10 -0.06      -0.20       0.09   0.413      \n",
      "c11              c11 -0.06      -0.20       0.09   0.413      \n",
      "c0                c0  0.55       0.10       1.01   0.021     *\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, 'GSE6731 (N = 4, IBD = 12)')"
      ]
     },
     "execution_count": 174,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "df2 = bone.printOLS('y ~ c1 + c2 + c3 + c4 + c5 + c8 + c10 + c11 + c0', df1)\n",
    "df = df2\n",
    "df = df.drop(['Intercept'])\n",
    "df[\"Name\"] = ['2-3-4', '3-4-6', '3-5-6', '4-5-6', '1-3-4', '1-2-3-4',\n",
    "               '1-2-3-5-6', '1-2-3-4-5-6', '1-2-3']\n",
    "ax = plt.subplot2grid((1, 1), (0, 0))\n",
    "ax.errorbar(df[\"coeff\"], range(len(df.index)),\n",
    "    yerr=0,\n",
    "    xerr=[list(df[\"coeff\"] - df[\"lower 0.95\"]), list(df[\"upper 0.95\"] - df[\"coeff\"])],\n",
    "    fmt='o', capsize=3)\n",
    "ax.set_yticks(range(len(df.index)))\n",
    "ax.set_yticklabels(df[\"Name\"])\n",
    "ax.set_xlabel(\"coefficient\")\n",
    "ax.axvline(x=0)\n",
    "#ax.set_xlim([0, 5.5])\n",
    "ax.set_ylim([-0.5, len(df.index) - 0.5])\n",
    "for i in range(len(df.index)):\n",
    "    ax.text(df[\"upper 0.95\"][i] + 0.1,i, df['codes'][i], verticalalignment='center')\n",
    "ax.set_title(\"GSE6731 (N = 4, IBD = 12)\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Figure 2F:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 191,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Verstockt 2019 IBD (n = 43)\n",
      "E-MTAB-7604 http://hegemon.ucsd.edu/Tools/explore.php?key=polyps&id=PLP73\n",
      "11 [4, 7] E-MTAB-7604 http://hegemon.ucsd.edu/Tools/explore.php?key=polyps&id=PLP73 PLP73\n",
      "[1743, 1243, 14, 1, 864, 779, 394, 111, 2, 21, 2, 3, 594, 1727, 1, 933, 165, 977, 21, 3]\n",
      "[111, 394, 779]\n",
      "[-3, -2, -1]\n",
      "[111, 392, 777]\n",
      "[0 0 0 1 1 1 1 0 1 1 1]\n",
      "[0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1]\n",
      "['0.86', '0.91', '0.0242']\n",
      "[171, 162]\n",
      "[1 0 0 1 0 1 1 1 0 1 1]\n",
      "[0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1]\n",
      "['0.68', '0.73', '0.491']\n",
      "[133]\n",
      "[1 0 0 1 0 1 1 1 1 1 0]\n",
      "[0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1]\n",
      "['0.61', '0.64', '1']\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1200x400 with 9 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "import bone\n",
    "reload(bone)\n",
    "fig = plt.figure(figsize=(12,4), dpi=100)\n",
    "n1 = 3\n",
    "axlist = []\n",
    "for i in range(n1):\n",
    "    ax = plt.subplot2grid((4, n1), (0, i))\n",
    "    axlist.extend([ax])\n",
    "    ax = plt.subplot2grid((4, n1), (1, i), rowspan=3)\n",
    "    axlist.extend([ax])\n",
    "\n",
    "acolor = [\"#00CC00\", \"#FCEE23\",\"#EC008C\",\n",
    "          'cyan', \"#F7941D\", \"#808285\",\n",
    "          'blue', 'black', 'green', 'red']\n",
    "\n",
    "ana = bone.IBDAnalysis()\n",
    "ana.getVerstockt2019Df(2)\n",
    "\n",
    "ng = [0, 7, 6, 5, 1, 16, 17]\n",
    "genes, wt1, l1 = bone.getGeneGroups([ng[j] for j in [1, 2, 3]], [-3, -2, -1], 1)\n",
    "\n",
    "ana.orderDataDf(l1, wt1)\n",
    "params = {'spaceAnn': 5, 'tAnn': 1, 'widthAnn':1, 'acolor': acolor,\n",
    "          'w': 5, 'h': 0.8, 'atypes': ana.atypes ,'cval': ana.cval, 'ax': axlist[0]}\n",
    "ax = ana.printTitleBar(params)\n",
    "res = ana.getMetrics(ana.cval[0])\n",
    "ax.text(len(ana.cval[0]), 4, res)\n",
    "res = ana.getMetrics2(ana.cval[0])\n",
    "print(res)\n",
    "ana.densityPlot(axlist[1], acolor)\n",
    "\n",
    "l1 = [bone.readList(\"data/dea-list-3.txt\"), bone.readList(\"data/dea-list-4.txt\")]\n",
    "wt1 = [-1, 1]\n",
    "ana.orderDataDf(l1, wt1)\n",
    "params = {'spaceAnn': 5, 'tAnn': 1, 'widthAnn':1, 'acolor': acolor,\n",
    "          'w': 5, 'h': 0.8, 'atypes': ana.atypes ,'cval': ana.cval, 'ax': axlist[2]}\n",
    "ax = ana.printTitleBar(params)\n",
    "res = ana.getMetrics(ana.cval[0])\n",
    "ax.text(len(ana.cval[0]), 4, res)\n",
    "res = ana.getMetrics2(ana.cval[0])\n",
    "print(res)\n",
    "ana.densityPlot(axlist[3], acolor)\n",
    "\n",
    "l1 = [bone.readList(\"data/peters-kdg.txt\")]\n",
    "wt1 = [1]\n",
    "ana.orderDataDf(l1, wt1)\n",
    "params = {'spaceAnn': 5, 'tAnn': 1, 'widthAnn':1, 'acolor': acolor,\n",
    "          'w': 5, 'h': 0.8, 'atypes': ana.atypes ,'cval': ana.cval, 'ax': axlist[4]}\n",
    "ax = ana.printTitleBar(params)\n",
    "res = ana.getMetrics(ana.cval[0])\n",
    "ax.text(len(ana.cval[0]), 4, res)\n",
    "res = ana.getMetrics2(ana.cval[0])\n",
    "print(res)\n",
    "ana.densityPlot(axlist[5], acolor)\n",
    "plt.tight_layout()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Figure 2G:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[1743, 1243, 14, 1, 864, 779, 394, 111, 2, 21, 2, 3, 594, 1727, 1, 933, 165, 977, 21, 3]\n",
      "[111, 394, 779]\n",
      "[-3, -2, -1]\n",
      "Vanhove 2015 IBD (n = 116)\n",
      "GSE59071 http://hegemon.ucsd.edu/Tools/explore.php?key=polyps&id=PLP23\n",
      "105 [23, 82] GSE59071 http://hegemon.ucsd.edu/Tools/explore.php?key=polyps&id=PLP23 PLP23\n",
      "[117, 414, 808]\n",
      "[0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 0, 1, 1, 1, 1, 1, 1, 1, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1]\n",
      "[0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1]\n",
      "Van der Goten 2014 IBD (n = 21)\n",
      "GSE48958 http://hegemon.ucsd.edu/Tools/explore.php?key=polyps&id=PLP25\n",
      "13 [6, 7] GSE48958 http://hegemon.ucsd.edu/Tools/explore.php?key=polyps&id=PLP25 PLP25\n",
      "[117, 414, 808]\n",
      "[0, 0, 0, 0, 0, 1, 0, 1, 1, 1, 1, 1, 1]\n",
      "[0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1]\n",
      "Arijs 2009 IBD IFX RMA (n = 133)\n",
      "GSE16879 http://hegemon.ucsd.edu/Tools/explore.php?key=polyps&id=PLP27\n",
      "43 [20, 23] GSE16879 http://hegemon.ucsd.edu/Tools/explore.php?key=polyps&id=PLP27 PLP27\n",
      "[267, 844, 1404]\n",
      "[0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 0, 1, 0, 0, 0, 1, 0, 1, 1, 1, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1]\n",
      "[0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1]\n",
      "Arijs 2018 UC (n = 178)\n",
      "GSE73661 http://hegemon.ucsd.edu/Tools/explore.php?key=polyps&id=PLP10\n",
      "82 [30, 52] GSE73661 http://hegemon.ucsd.edu/Tools/explore.php?key=polyps&id=PLP10 PLP10\n",
      "[117, 414, 808]\n",
      "[0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 0, 1, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 1, 1, 1, 1, 1, 1, 0, 1, 1, 1, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1]\n",
      "[0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1]\n",
      "Pekow 2013 UC CRC (n = 20)\n",
      "GSE37283 http://hegemon.ucsd.edu/Tools/explore.php?key=polyps&id=PLP59\n",
      "15 [4, 11] GSE37283 http://hegemon.ucsd.edu/Tools/explore.php?key=polyps&id=PLP59 PLP59\n",
      "[291, 903, 1487]\n",
      "[0, 0, 0, 1, 1, 1, 0, 1, 1, 1, 1, 1, 1, 1, 1]\n",
      "[0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1]\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "Text(15, 4, '0.93,0.93,0.00879')"
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 500x500 with 10 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "import bone\n",
    "reload(bone)\n",
    "ng = [0, 7, 6, 5, 1, 16, 17]\n",
    "genes, wt1, l1 = bone.getGeneGroups([ng[j] for j in [1, 2, 3]], [-3, -2, -1], 1)\n",
    "\n",
    "fig = plt.figure(figsize=(5,5), dpi=100)\n",
    "n1 = 5\n",
    "axlist = []\n",
    "for i in range(n1):\n",
    "    ax = plt.subplot2grid((n1, 1), (i, 0))\n",
    "    axlist.extend([ax])\n",
    "\n",
    "acolor = [\"#00CC00\", \"#FCEE23\",\"#EC008C\",\n",
    "          'cyan', \"#F7941D\", \"#808285\",\n",
    "          'blue', 'black', 'green', 'red']\n",
    "ana = bone.IBDAnalysis()\n",
    "\n",
    "ana.getVanhoveDf(3)\n",
    "ana.orderDataDf(l1, wt1)\n",
    "predicted = [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, \n",
    "             0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, \n",
    "             1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, \n",
    "             1, 1, 1, 1, 1, 1, 1, 1, 1, \n",
    "             1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1]\n",
    "params = {'spaceAnn': len(ana.order)/len(ana.atypes),\n",
    "          'tAnn': 1, 'widthAnn':1, 'acolor': acolor,\n",
    "          'predicted': predicted,\n",
    "          'w': 5, 'h': 0.8, 'atypes': ana.atypes ,'cval': ana.cval, 'ax': axlist[0]}\n",
    "ax = ana.printTitleBar(params)\n",
    "res = ana.getMetrics2(ana.cval[0], fthr=\"thr0\")\n",
    "ax.text(len(ana.cval[0]), 4, \",\".join(res))\n",
    "\n",
    "ana.getVanderGotenDf(3)\n",
    "ana.orderDataDf(l1, wt1)\n",
    "params = {'spaceAnn': len(ana.order)/len(ana.atypes), \n",
    "          'tAnn': 1, 'widthAnn':1, 'acolor': acolor,\n",
    "          'w': 5, 'h': 0.8, 'atypes': ana.atypes ,'cval': ana.cval, 'ax': axlist[1]}\n",
    "ax = ana.printTitleBar(params)\n",
    "res = ana.getMetrics2(ana.cval[0], fthr=\"thr0\")\n",
    "ax.text(len(ana.cval[0]), 4, \",\".join(res))\n",
    "\n",
    "ana.getArijs2009Df(3)\n",
    "ana.orderDataDf(l1, wt1)\n",
    "predicted = [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, \n",
    "             0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1]\n",
    "params = {'spaceAnn': len(ana.order)/len(ana.atypes),\n",
    "          'tAnn': 1, 'widthAnn':1, 'acolor': acolor,\n",
    "          'predicted': predicted,\n",
    "          'w': 5, 'h': 0.8, 'atypes': ana.atypes ,'cval': ana.cval, 'ax': axlist[2]}\n",
    "ax = ana.printTitleBar(params)\n",
    "res = ana.getMetrics2(ana.cval[0], fthr=\"thr0\")\n",
    "ax.text(len(ana.cval[0]), 4, \",\".join(res))\n",
    "\n",
    "ana.getArijs2018Df(3)\n",
    "ana.orderDataDf(l1, wt1)\n",
    "predicted = [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, \n",
    " 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, \n",
    " 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,\n",
    " 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1]\n",
    "params = {'spaceAnn': len(ana.order)/len(ana.atypes),\n",
    "          'tAnn': 1, 'widthAnn':1, 'acolor': acolor,\n",
    "          'predicted': predicted,\n",
    "          'w': 5, 'h': 0.8, 'atypes': ana.atypes ,'cval': ana.cval, 'ax': axlist[3]}\n",
    "ax = ana.printTitleBar(params)\n",
    "res = ana.getMetrics2(ana.cval[0], fthr=\"thr0\")\n",
    "ax.text(len(ana.cval[0]), 4, \",\".join(res))\n",
    "\n",
    "ana.getPekowDf(3)\n",
    "ana.orderDataDf(l1, wt1)\n",
    "predicted = [0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1]\n",
    "params = {'spaceAnn': len(ana.order)/len(ana.atypes),\n",
    "          'tAnn': 1, 'widthAnn':1, 'acolor': acolor,\n",
    "          'predicted': predicted,\n",
    "          'w': 5, 'h': 0.8, 'atypes': ana.atypes ,'cval': ana.cval, 'ax': axlist[4]}\n",
    "ax = ana.printTitleBar(params)\n",
    "res = ana.getMetrics2(ana.cval[0], fthr=\"thr0\")\n",
    "ax.text(len(ana.cval[0]), 4, \",\".join(res))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Figure 4B"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[1743, 1243, 14, 1, 864, 779, 394, 111, 2, 21, 2, 3, 594, 1727, 1, 933, 165, 977, 21, 3]\n",
      "[111, 394, 779]\n",
      "[-3, -2, -1]\n",
      "Breynaert 2013 dss (n = 30)\n",
      "GSE42768 http://hegemon.ucsd.edu/Tools/explore.php?key=polyps&id=PLP38\n",
      "30 [5, 25] GSE42768 http://hegemon.ucsd.edu/Tools/explore.php?key=polyps&id=PLP38 PLP38\n",
      "[122, 417, 809]\n",
      "[1, 0, 0, 1, 0, 1, 0, 1, 1, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1]\n",
      "[0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1]\n",
      "Jensen 2017 DSS (n = 6)\n",
      "E-MTAB-5249 http://hegemon.ucsd.edu/Tools/explore.php?key=polyps&id=PLP66\n",
      "6 [3, 3] E-MTAB-5249 http://hegemon.ucsd.edu/Tools/explore.php?key=polyps&id=PLP66 PLP66\n",
      "[112, 393, 763]\n",
      "[0, 0, 0, 1, 1, 1]\n",
      "[0, 0, 0, 1, 1, 1]\n",
      "Dohi 2014 Mm TNBS (n = 72)\n",
      "GSE53835 http://hegemon.ucsd.edu/Tools/explore.php?key=polyps&id=PLP94\n",
      "72 [8, 64] GSE53835 http://hegemon.ucsd.edu/Tools/explore.php?key=polyps&id=PLP94 PLP94\n",
      "[270, 729, 1421]\n",
      "[1, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1]\n",
      "[0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1]\n",
      "Lamas 2018 Citobacter (n = 40)\n",
      "GSE90577 http://hegemon.ucsd.edu/Tools/explore.php?key=polyps&id=PLP99\n",
      "19 [11, 8] GSE90577 http://hegemon.ucsd.edu/Tools/explore.php?key=polyps&id=PLP99 PLP99\n",
      "[164, 552, 1048]\n",
      "[0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 1, 0, 1, 1, 1, 0, 1]\n",
      "[0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1]\n",
      "Lyons 2018 Mm T Cell IBD (n = 10)\n",
      "GSE87317 http://hegemon.ucsd.edu/Tools/explore.php?key=polyps&id=PLP89\n",
      "10 [4, 6] GSE87317 http://hegemon.ucsd.edu/Tools/explore.php?key=polyps&id=PLP89 PLP89\n",
      "[270, 729, 1421]\n",
      "[0, 0, 0, 1, 1, 1, 0, 1, 1, 1]\n",
      "[0, 0, 1, 1, 1, 1, 1, 1, 1, 1]\n",
      "Fang 2012 Mm T Cell IBD (n = 16)\n",
      "GSE27302 http://hegemon.ucsd.edu/Tools/explore.php?key=polyps&id=PLP90\n",
      "16 [4, 12] GSE27302 http://hegemon.ucsd.edu/Tools/explore.php?key=polyps&id=PLP90 PLP90\n",
      "[270, 729, 1421]\n",
      "[0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1]\n",
      "[0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1]\n",
      "Russ 2013 Mm Il10 (n = 48)\n",
      "GSE39859 http://hegemon.ucsd.edu/Tools/explore.php?key=polyps&id=PLP96\n",
      "24 [12, 12] GSE39859 http://hegemon.ucsd.edu/Tools/explore.php?key=polyps&id=PLP96 PLP96\n",
      "[165, 592, 1071]\n",
      "[0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 0, 1, 1, 1, 1, 1, 1, 1]\n",
      "[0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1]\n",
      "Russ 2013 Mm Il10 (n = 48)\n",
      "GSE39859 http://hegemon.ucsd.edu/Tools/explore.php?key=polyps&id=PLP96\n",
      "24 [12, 12] GSE39859 http://hegemon.ucsd.edu/Tools/explore.php?key=polyps&id=PLP96 PLP96\n",
      "[165, 592, 1071]\n",
      "[0, 1, 0, 0, 1, 0, 1, 1, 0, 0, 1, 1, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 0]\n",
      "[0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1]\n",
      "Tam 2019 Mm Tnfr1 (n = 6)\n",
      "GSE107933 http://hegemon.ucsd.edu/Tools/explore.php?key=polyps&id=PLP98\n",
      "6 [3, 3] GSE107933 http://hegemon.ucsd.edu/Tools/explore.php?key=polyps&id=PLP98 PLP98\n",
      "[118, 395, 772]\n",
      "[0, 0, 1, 1, 1, 0]\n",
      "[0, 0, 0, 1, 1, 1]\n",
      "Punit 2015 Mm Tnfr2 (n = 6)\n",
      "GSE65408 http://hegemon.ucsd.edu/Tools/explore.php?key=polyps&id=PLP97\n",
      "6 [3, 3] GSE65408 http://hegemon.ucsd.edu/Tools/explore.php?key=polyps&id=PLP97 PLP97\n",
      "[107, 378, 735]\n",
      "[1, 1, 0, 0, 0, 1]\n",
      "[0, 0, 0, 1, 1, 1]\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1000x500 with 11 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "def printMouse(l1, wt1):\n",
    "    data = { \"roc-auc\": [], \"accuracy\": [], \"fisher\": [], \"mtype\": [], \"model\": [],\n",
    "            \"source\": [], \"title\": [], \"dbid\": [], \"key\": [], \"bar\": None}\n",
    "    genes = []\n",
    "\n",
    "    fig = plt.figure(figsize=(10,5), dpi=100)\n",
    "    n1 = 11\n",
    "    axlist = []\n",
    "    for i in range(n1):\n",
    "        ax = plt.subplot2grid((n1, 3), (i, 2))\n",
    "        axlist.extend([ax])\n",
    "\n",
    "    def processHeader(ax):\n",
    "        nAt = 10\n",
    "        extent = [0, nAt, 0, 5]\n",
    "        ax.axis(extent)\n",
    "        ax.set_xticklabels([])\n",
    "        ax.set_yticklabels([])\n",
    "        ax.tick_params(top=False, left=False, bottom=False, right=False)\n",
    "        for edge, spine in ax.spines.items():\n",
    "                    spine.set_visible(False)\n",
    "        ax.text(-2.9, 0.5, \"Model Type\",\n",
    "                horizontalalignment='left', verticalalignment='center',\n",
    "                transform=ax.transAxes)\n",
    "        ax.text(-2.5, 0.5, \"Mouse Model\",\n",
    "                horizontalalignment='left', verticalalignment='center',\n",
    "                transform=ax.transAxes)\n",
    "        ax.text(-1.9, 0.5, \"Dataset\",\n",
    "                horizontalalignment='left', verticalalignment='center',\n",
    "                transform=ax.transAxes)\n",
    "        ax.text(-1.35, 0.5, \"#Samples\\n(N, Colitis)\",\n",
    "                horizontalalignment='left', verticalalignment='center',\n",
    "                transform=ax.transAxes)\n",
    "        ax.text(-0.9, 0.5, \"ROC-\\nAUC\",\n",
    "                horizontalalignment='left', verticalalignment='center',\n",
    "                transform=ax.transAxes)\n",
    "        ax.text(-0.65, 0.5, \"Accu\",\n",
    "                horizontalalignment='left', verticalalignment='center',\n",
    "                transform=ax.transAxes)\n",
    "        ax.text(-0.4, 0.5, \"Fisher p\",\n",
    "                horizontalalignment='left', verticalalignment='center',\n",
    "                transform=ax.transAxes)\n",
    "\n",
    "    def processMm(ana, genes, wt1, l1, ax, desc1, desc2,\n",
    "        acolor = acolor, data = data, fthr = \"thr0\"):\n",
    "        ana.convertMm(l1, genes)\n",
    "        ana.orderDataDf(ana.gene_groups, wt1)\n",
    "        nAt = len(ana.cval[0])\n",
    "        extent = [0, nAt, 0, 5]\n",
    "        ax.axis(extent)\n",
    "        cmap = colors.ListedColormap(acolor)\n",
    "        boundaries = range(len(acolor) + 1)\n",
    "        norm = colors.BoundaryNorm(boundaries, cmap.N, clip=True)\n",
    "        ax.imshow(ana.cval, interpolation='nearest', cmap=cmap, \\\n",
    "                          norm=norm, extent=extent, aspect=\"auto\")\n",
    "        ax.set_xticklabels([])\n",
    "        ax.set_yticklabels([])\n",
    "        ax.tick_params(top=False, left=False, bottom=False, right=False)\n",
    "        ax.set_xticks(np.arange(0, nAt, 1))\n",
    "        ax.grid(which='major', alpha=0.2, linestyle='-', linewidth=0.5,\n",
    "                color='black')\n",
    "        for edge, spine in ax.spines.items():\n",
    "                    spine.set_visible(False)\n",
    "        res = ana.getMetrics2(ana.cval[0], fthr=fthr)\n",
    "        ax.text(-2.9, 0.5, desc1,\n",
    "                horizontalalignment='left', verticalalignment='center',\n",
    "                transform=ax.transAxes)\n",
    "        ax.text(-2.5, 0.5, desc2,\n",
    "                horizontalalignment='left', verticalalignment='center',\n",
    "                transform=ax.transAxes)\n",
    "        ax.text(-1.9, 0.5, ana.source,\n",
    "                horizontalalignment='left', verticalalignment='center',\n",
    "                transform=ax.transAxes)\n",
    "        ax.text(-1.35, 0.5, \"(\" + str(len(ana.state[0])) + \", \" + str(len(ana.state[1])) + \")\",\n",
    "                horizontalalignment='left', verticalalignment='center',\n",
    "                transform=ax.transAxes)\n",
    "        ax.text(-0.9, 0.5, res[0],\n",
    "                horizontalalignment='left', verticalalignment='center',\n",
    "                transform=ax.transAxes)\n",
    "        ax.text(-0.65, 0.5, res[1],\n",
    "                horizontalalignment='left', verticalalignment='center',\n",
    "                transform=ax.transAxes)\n",
    "        ax.text(-0.4, 0.5, res[2],\n",
    "                horizontalalignment='left', verticalalignment='center',\n",
    "                transform=ax.transAxes)\n",
    "        data[\"roc-auc\"] += [res[0]]\n",
    "        data[\"accuracy\"] += [res[1]]\n",
    "        data[\"fisher\"] += [res[2]]\n",
    "        data[\"source\"] += [ana.source]\n",
    "        data[\"title\"] += [ana.name]\n",
    "        data[\"dbid\"] += [ana.dbid]\n",
    "        data[\"key\"] += [\"polyps\"]\n",
    "        data[\"mtype\"] += [desc1]\n",
    "        data[\"model\"] += [desc2]\n",
    "\n",
    "    processHeader(axlist[0])\n",
    "    ana = bone.IBDAnalysis()\n",
    "    ana.getBreynaert2013Df(2)\n",
    "    desc1 = \"Chemical\"; desc2 = \"DSS (bulk)\"\n",
    "    processMm(ana, genes, wt1, l1, axlist[1], desc1, desc2)\n",
    "\n",
    "    ana = bone.IBDAnalysis()\n",
    "    ana.getJensen2017Df()\n",
    "    desc1 = \"Chemical\"; desc2 = \"DSS (epithelium)\"\n",
    "    processMm(ana, genes, wt1, l1, axlist[2], desc1, desc2)\n",
    "\n",
    "    ana.getDohi2014Df()\n",
    "    desc1 = \"Chemical\"; desc2 = \"TNBS\"\n",
    "    processMm(ana, genes, wt1, l1, axlist[3], desc1, desc2)\n",
    "\n",
    "    ana.getLamas2018Df(2)\n",
    "    desc1 = \"Infection\"; desc2 = \"Citrobacter\"\n",
    "    processMm(ana, genes, wt1, l1, axlist[4], desc1, desc2)\n",
    "\n",
    "    ana.getLyons2018Df(2)\n",
    "    desc1 = \"T cell\"; desc2 = \"ACT\"\n",
    "    processMm(ana, genes, wt1, l1, axlist[5], desc1, desc2)\n",
    "\n",
    "    ana.getFang2012Df(2)\n",
    "    desc1 = \"T cell\"; desc2 = \"ACT\"\n",
    "    processMm(ana, genes, wt1, l1, axlist[6], desc1, desc2)\n",
    "\n",
    "    ana.getRuss2013Df(2)\n",
    "    desc1 = \"Genetic\"; desc2 = \"IL10 -/- (epithelium)\"\n",
    "    processMm(ana, genes, wt1, l1, axlist[7], desc1, desc2)\n",
    "\n",
    "    ana.getRuss2013Df(3)\n",
    "    desc1 = \"Genetic\"; desc2 = \"IL10 -/- (bulk)\"\n",
    "    processMm(ana, genes, wt1, l1, axlist[8], desc1, desc2)\n",
    "\n",
    "    ana.getTam2019Df()\n",
    "    desc1 = \"Genetic\"; desc2 = \"TNFR1 -/-\"\n",
    "    processMm(ana, genes, wt1, l1, axlist[9], desc1, desc2, fthr = \"thr2\")\n",
    "\n",
    "    ana.getPunit2015Df()\n",
    "    desc1 = \"Genetic\"; desc2 = \"TNFR2 -/-\"\n",
    "    processMm(ana, genes, wt1, l1, axlist[10], desc1, desc2, fthr = \"thr2\")\n",
    "\n",
    "import bone\n",
    "reload(bone)\n",
    "ng = [0, 7, 6, 5, 1, 16, 17]\n",
    "genes, wt1, l1 = bone.getGeneGroups([ng[j] for j in [1, 2, 3]], [-3, -2, -1], 1)\n",
    "printMouse(l1, wt1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[1743, 1243, 14, 1, 864, 779, 394, 111, 2, 21, 2, 3, 594, 1727, 1, 933, 165, 977, 21, 3]\n",
      "[111, 394, 779]\n",
      "[-3, -2, -1]\n",
      "Pekow 2013 UC CRC (n = 20)\n",
      "GSE37283 http://hegemon.ucsd.edu/Tools/explore.php?key=polyps&id=PLP59\n",
      "20 [5, 15] GSE37283 http://hegemon.ucsd.edu/Tools/explore.php?key=polyps&id=PLP59 PLP59\n",
      "[291, 904, 1488]\n",
      "[1, 1, 0, 1, 0, 0, 1, 1, 0, 1, 1, 1, 1, 0, 1, 1, 1, 1, 1, 1]\n",
      "[0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1]\n",
      "['0.71', '0.70', '0.127']\n"
     ]
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 500x80 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "import bone\n",
    "reload(bone)\n",
    "ng = [0, 7, 6, 5, 1, 16, 17]\n",
    "genes, wt1, l1 = bone.getGeneGroups([ng[j] for j in [1, 2, 3]], [-3, -2, -1], 1)\n",
    "\n",
    "acolor = [\"#00CC00\", \"#FCEE23\",\"#EC008C\",\n",
    "          'cyan', \"#F7941D\", \"#808285\",\n",
    "          'blue', 'black', 'green', 'red']\n",
    "ana = bone.IBDAnalysis()\n",
    "\n",
    "ana.getPekow(2)\n",
    "ana.orderData(l1, wt1)\n",
    "params = {'spaceAnn': len(ana.order)/len(ana.atypes),\n",
    "          'tAnn': 1, 'widthAnn':1, 'acolor': acolor,\n",
    "          'w': 5, 'h': 0.8, 'atypes': ana.atypes ,'cval': ana.cval}\n",
    "ax = ana.printTitleBar(params)\n",
    "res = ana.getMetrics2(ana.cval[0], fthr=\"thr0\")\n",
    "ax.text(len(ana.cval[0]), 4, \",\".join(res))\n",
    "print (res)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Figure S2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[1743, 1243, 14, 1, 864, 779, 394, 111, 2, 21, 2, 3, 594, 1727, 1, 933, 165, 977, 21, 3]\n",
      "[111, 394, 779]\n",
      "[-3, -2, -1]\n",
      "Peters 2017 IBD (n = 134)\n",
      "GSE83687 http://hegemon.ucsd.edu/Tools/explore.php?key=polyps&id=PLP7\n",
      "134 [60, 74] GSE83687 http://hegemon.ucsd.edu/Tools/explore.php?key=polyps&id=PLP7 PLP7\n",
      "[111, 394, 779]\n",
      "Arijs 2018 UC (n = 178)\n",
      "GSE73661 http://hegemon.ucsd.edu/Tools/explore.php?key=polyps&id=PLP10\n",
      "178 [12, 166] GSE73661 http://hegemon.ucsd.edu/Tools/explore.php?key=polyps&id=PLP10 PLP10\n",
      "[117, 414, 808]\n",
      "Wu 2007 IBD (n = 36)\n",
      "GSE6731 http://hegemon.ucsd.edu/Tools/explore.php?key=polyps&id=PLP12\n",
      "16 [4, 12] GSE6731 http://hegemon.ucsd.edu/Tools/explore.php?key=polyps&id=PLP12 PLP12\n",
      "[84, 270, 519]\n",
      "Vancamelbeke 2017 IBD (n = 194)\n",
      "GSE75214 http://hegemon.ucsd.edu/Tools/explore.php?key=polyps&id=PLP16\n",
      "93 [11, 82] GSE75214 http://hegemon.ucsd.edu/Tools/explore.php?key=polyps&id=PLP16 PLP16\n",
      "[117, 414, 808]\n",
      "Arijs 2009 IBD IFX RMA (n = 133)\n",
      "GSE16879 http://hegemon.ucsd.edu/Tools/explore.php?key=polyps&id=PLP27\n",
      "49 [6, 43] GSE16879 http://hegemon.ucsd.edu/Tools/explore.php?key=polyps&id=PLP27 PLP27\n",
      "[267, 844, 1404]\n",
      "Vanhove 2015 IBD (n = 116)\n",
      "GSE59071 http://hegemon.ucsd.edu/Tools/explore.php?key=polyps&id=PLP23\n",
      "116 [11, 105] GSE59071 http://hegemon.ucsd.edu/Tools/explore.php?key=polyps&id=PLP23 PLP23\n",
      "[117, 414, 808]\n",
      "Van der Goten 2014 IBD (n = 21)\n",
      "GSE48958 http://hegemon.ucsd.edu/Tools/explore.php?key=polyps&id=PLP25\n",
      "21 [8, 13] GSE48958 http://hegemon.ucsd.edu/Tools/explore.php?key=polyps&id=PLP25 PLP25\n",
      "[117, 414, 808]\n",
      "Pekow 2013 UC CRC (n = 20)\n",
      "GSE37283 http://hegemon.ucsd.edu/Tools/explore.php?key=polyps&id=PLP59\n",
      "20 [5, 15] GSE37283 http://hegemon.ucsd.edu/Tools/explore.php?key=polyps&id=PLP59 PLP59\n",
      "[291, 903, 1487]\n",
      "Denson 2018 Peds UC (n = 226)\n",
      "GSE109142 http://hegemon.ucsd.edu/Tools/explore.php?key=polyps&id=PLP86\n",
      "226 [20, 206] GSE109142 http://hegemon.ucsd.edu/Tools/explore.php?key=polyps&id=PLP86 PLP86\n",
      "[110, 387, 774]\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "Text(226, 4, '0.97')"
      ]
     },
     "execution_count": 51,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 500x500 with 18 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "import bone\n",
    "reload(bone)\n",
    "genes, wt1, l1 = bone.getGeneGroups(debug=0)\n",
    "fig = plt.figure(figsize=(5,5), dpi=100)\n",
    "n1 = 9\n",
    "axlist = []\n",
    "for i in range(n1):\n",
    "    ax = plt.subplot2grid((n1, 1), (i, 0))\n",
    "    axlist.extend([ax])\n",
    "\n",
    "acolor = [\"#00CC00\", \"yellow\",\"#EC008C\",\n",
    "          'cyan', \"#F7941D\", \"#808285\",\n",
    "          'blue', 'black', 'green', 'red']\n",
    "ana = bone.IBDAnalysis()\n",
    "ana.getPetersDf(2)\n",
    "ana.orderDataDf(l1, wt1)\n",
    "params = {'spaceAnn': 40, 'tAnn': 5, 'widthAnn':5, 'acolor': acolor,\n",
    "          'w': 5, 'h': 0.8, 'atypes': ana.atypes ,'cval': ana.cval, 'ax': axlist[0]}\n",
    "ax = ana.printTitleBar(params)\n",
    "res = ana.getMetrics(ana.cval[0])\n",
    "ax.text(len(ana.cval[0]), 4, res)\n",
    "\n",
    "ana.getArijs2018Df(2)\n",
    "ana.orderDataDf(l1, wt1)\n",
    "params = {'spaceAnn': 40, 'tAnn': 5, 'widthAnn':5, 'acolor': acolor,\n",
    "          'w': 5, 'h': 0.8, 'atypes': ana.atypes ,'cval': ana.cval, 'ax': axlist[1]}\n",
    "ax = ana.printTitleBar(params)\n",
    "res = ana.getMetrics(ana.cval[0])\n",
    "ax.text(len(ana.cval[0]), 4, res)\n",
    "\n",
    "ana.getWu2007Df(2)\n",
    "ana.orderDataDf(l1, wt1)\n",
    "params = {'spaceAnn': 6, 'tAnn': 1, 'widthAnn':1, 'acolor': acolor,\n",
    "          'w': 5, 'h': 0.8, 'atypes': ana.atypes ,'cval': ana.cval, 'ax': axlist[2]}\n",
    "ax = ana.printTitleBar(params)\n",
    "res = ana.getMetrics(ana.cval[0])\n",
    "ax.text(len(ana.cval[0]), 4, res)\n",
    "\n",
    "ana.getVancamelbekeDf(2)\n",
    "ana.orderDataDf(l1, wt1)\n",
    "params = {'spaceAnn': 20, 'tAnn': 4, 'widthAnn':4, 'acolor': acolor,\n",
    "          'w': 5, 'h': 0.8, 'atypes': ana.atypes ,'cval': ana.cval, 'ax': axlist[3]}\n",
    "ax = ana.printTitleBar(params)\n",
    "res = ana.getMetrics(ana.cval[0])\n",
    "ax.text(len(ana.cval[0]), 4, res)\n",
    "\n",
    "ana.getArijs2009Df(2)\n",
    "ana.orderDataDf(l1, wt1)\n",
    "params = {'spaceAnn': 20, 'tAnn': 4, 'widthAnn':4, 'acolor': acolor,\n",
    "          'w': 5, 'h': 0.8, 'atypes': ana.atypes ,'cval': ana.cval, 'ax': axlist[4]}\n",
    "ax = ana.printTitleBar(params)\n",
    "res = ana.getMetrics(ana.cval[0])\n",
    "ax.text(len(ana.cval[0]), 4, res)\n",
    "\n",
    "ana.getVanhoveDf(2)\n",
    "ana.orderDataDf(l1, wt1)\n",
    "params = {'spaceAnn': 20, 'tAnn': 4, 'widthAnn':4, 'acolor': acolor,\n",
    "          'w': 5, 'h': 0.8, 'atypes': ana.atypes ,'cval': ana.cval, 'ax': axlist[5]}\n",
    "ax = ana.printTitleBar(params)\n",
    "res = ana.getMetrics(ana.cval[0])\n",
    "ax.text(len(ana.cval[0]), 4, res)\n",
    "\n",
    "ana.getVanderGotenDf(2)\n",
    "ana.orderDataDf(l1, wt1)\n",
    "params = {'spaceAnn': 6, 'tAnn': 1, 'widthAnn':1, 'acolor': acolor,\n",
    "          'w': 5, 'h': 0.8, 'atypes': ana.atypes ,'cval': ana.cval, 'ax': axlist[6]}\n",
    "ax = ana.printTitleBar(params)\n",
    "res = ana.getMetrics(ana.cval[0])\n",
    "ax.text(len(ana.cval[0]), 4, res)\n",
    "\n",
    "ana.getPekowDf(2)\n",
    "ana.orderDataDf(l1, wt1)\n",
    "params = {'spaceAnn': 6, 'tAnn': 1, 'widthAnn':1, 'acolor': acolor,\n",
    "          'w': 5, 'h': 0.8, 'atypes': ana.atypes ,'cval': ana.cval, 'ax': axlist[7]}\n",
    "ax = ana.printTitleBar(params)\n",
    "res = ana.getMetrics(ana.cval[0])\n",
    "ax.text(len(ana.cval[0]), 4, res)\n",
    "\n",
    "ana.getDenson2018Df(2)\n",
    "ana.orderDataDf(l1, wt1)\n",
    "params = {'spaceAnn': 100, 'tAnn': 6, 'widthAnn':6, 'acolor': acolor,\n",
    "          'w': 5, 'h': 0.8, 'atypes': ana.atypes ,'cval': ana.cval, 'ax': axlist[8]}\n",
    "ax = ana.printTitleBar(params)\n",
    "res = ana.getMetrics(ana.cval[0])\n",
    "ax.text(len(ana.cval[0]), 4, res)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[9, 'c Response', 'Active UC', 'UC other', 'UC NR', 'UC R', 'Control']"
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "db = hu.Database(\"/booleanfs2/sahoo/Hegemon/explore.conf\")\n",
    "#db = hu.Database(\"/Users/sataheri/public_html/Hegemon/explore.conf\")\n",
    "#db = hu.Database(\"/Users/mahdi/public_html/Hegemon/explore.conf\")\n",
    "dbid = \"PLP10\"\n",
    "h = hu.Hegemon(db.getDataset(dbid))\n",
    "h.init()\n",
    "h.initPlatform()\n",
    "h.initSurv()\n",
    "atype = h.getSurvName(\"c Response\")\n",
    "hu.uniq(atype)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['7',\n",
       " 'c injected with',\n",
       " 'trinitrobenzene sulfonic acid (TNBS)',\n",
       " 'none (naïve control)']"
      ]
     },
     "execution_count": 32,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import bone\n",
    "reload(bone)\n",
    "ana = bone.IBDAnalysis()\n",
    "ana.prepareDataDf(\"PLP94\")\n",
    "atype = ana.getSurvName(\"c injected with\")\n",
    "hu.uniq(atype)"
   ]
  }
 ],
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