MFP_TME_classificataion.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Import"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2023-10-27T09:48:54.794729Z",
     "start_time": "2023-10-27T09:48:52.294442Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "The autoreload extension is already loaded. To reload it, use:\n",
      "  %reload_ext autoreload\n"
     ]
    }
   ],
   "source": [
    "# Publicly available signatures\n",
    "%load_ext autoreload\n",
    "%autoreload 2\n",
    "%matplotlib inline\n",
    "%config IPCompleter.use_jedi = False\n",
    "import matplotlib.pyplot as plt\n",
    "import copy\n",
    "import sys\n",
    "import os\n",
    "import pandas as pd\n",
    "import numpy as np\n",
    "import seaborn as sns\n",
    "from IPython.display import display\n",
    "from pathlib import Path"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2023-10-27T09:48:55.042308Z",
     "start_time": "2023-10-27T09:48:54.799382Z"
    }
   },
   "outputs": [],
   "source": [
    "# Code from utils directory\n",
    "from utils.utils import *\n",
    "from utils.plotting import *\n",
    "from utils.classification import *"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2023-10-27T09:48:55.075466Z",
     "start_time": "2023-10-27T09:48:55.044550Z"
    }
   },
   "outputs": [],
   "source": [
    "# Config for pictures\n",
    "%config InlineBackend.figure_format = 'png'\n",
    "plt.rcParams['pdf.fonttype'] = 'truetype'\n",
    "plt.rcParams['svg.fonttype'] = 'none'\n",
    "plt.rcParams['figure.dpi'] = 120\n",
    "sns.set_style('white')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2023-10-27T09:48:55.094804Z",
     "start_time": "2023-10-27T09:48:55.077180Z"
    }
   },
   "outputs": [],
   "source": [
    "import warnings\n",
    "warnings.filterwarnings(\"ignore\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Palette"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2023-10-27T09:48:55.448857Z",
     "start_time": "2023-10-27T09:48:55.099564Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: >"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 30x144 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Stating color palette for MFP subtypes\n",
    "## IEF - Immune-Enriched/Fibrotic\n",
    "## IE - Immune-Enriched\n",
    "## F - Fibrotic\n",
    "## ID - Immune Depleted\n",
    "portrait_palette = {'IEF': '#009999', 'IE': '#0000CC', 'F': '#CC0033', 'ID': '#FF9900'}\n",
    "portrait_order = ['IEF', 'IE', 'F', 'ID']\n",
    "patch_plot(portrait_palette, order=portrait_order)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Signatures"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2023-10-27T09:48:55.488994Z",
     "start_time": "2023-10-27T09:48:55.453852Z"
    }
   },
   "outputs": [],
   "source": [
    "# Reading gmt file with gene signatures\n",
    "signatures = read_gene_sets('./genesets/PAAD_genesets.gmt')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2023-10-27T09:48:55.510230Z",
     "start_time": "2023-10-27T09:48:55.490733Z"
    }
   },
   "outputs": [],
   "source": [
    "# All available gene signatures\n",
    "selected_signatures = ['MHCI', 'MHCII', 'Coactivation_molecules', 'Effector_cells', \n",
    "                   'NK_cells', 'T_cells', 'T_cell_traffic' , 'B_cells', 'M1_signatures', 'Th1_signature', \n",
    "                   'Antitumor_cytokines', 'Checkpoint_inhibition', 'Treg', 'Mast_cell_signature', 'MDSC', \n",
    "                   'M2_signature', 'Th2_signature', 'Protumor_cytokines', 'Angiogenesis', 'Endothelium', \n",
    "                   'CAF_associated', 'Proliferation_rate', 'Oncogenes_PDAC', 'EMT_signature', \n",
    "                   'Hu-Lgr5-ISC']"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Read cohort"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2023-10-27T09:48:56.021071Z",
     "start_time": "2023-10-27T09:48:55.895605Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(1657, 5)\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",
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       "    }\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>Moffitt_tumor_predicted</th>\n",
       "      <th>Collison_predicted</th>\n",
       "      <th>Bailey_predicted</th>\n",
       "      <th>MFP</th>\n",
       "      <th>Cohort</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>PANC78</th>\n",
       "      <td>Classical</td>\n",
       "      <td>Classical</td>\n",
       "      <td>Immunogenic</td>\n",
       "      <td>IE</td>\n",
       "      <td>PUB_Puleo_Belgium</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>PANC63</th>\n",
       "      <td>Classical</td>\n",
       "      <td>Exocrine</td>\n",
       "      <td>ADEX</td>\n",
       "      <td>IEF</td>\n",
       "      <td>PUB_Puleo_Belgium</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>PANC70</th>\n",
       "      <td>Classical</td>\n",
       "      <td>Exocrine</td>\n",
       "      <td>ADEX</td>\n",
       "      <td>IEF</td>\n",
       "      <td>PUB_Puleo_Belgium</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>PANC19</th>\n",
       "      <td>Classical</td>\n",
       "      <td>Exocrine</td>\n",
       "      <td>ADEX</td>\n",
       "      <td>IEF</td>\n",
       "      <td>PUB_Puleo_Belgium</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>PANC32</th>\n",
       "      <td>Basal-like</td>\n",
       "      <td>QM</td>\n",
       "      <td>Squamous</td>\n",
       "      <td>ID</td>\n",
       "      <td>PUB_Puleo_Belgium</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       Moffitt_tumor_predicted Collison_predicted Bailey_predicted  MFP  \\\n",
       "PANC78               Classical          Classical      Immunogenic   IE   \n",
       "PANC63               Classical           Exocrine             ADEX  IEF   \n",
       "PANC70               Classical           Exocrine             ADEX  IEF   \n",
       "PANC19               Classical           Exocrine             ADEX  IEF   \n",
       "PANC32              Basal-like                 QM         Squamous   ID   \n",
       "\n",
       "                   Cohort  \n",
       "PANC78  PUB_Puleo_Belgium  \n",
       "PANC63  PUB_Puleo_Belgium  \n",
       "PANC70  PUB_Puleo_Belgium  \n",
       "PANC19  PUB_Puleo_Belgium  \n",
       "PANC32  PUB_Puleo_Belgium  "
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Pancreatinc Adenocarcinoma Meta-cohort annotation\n",
    "# This annotation include predicted Moffitt, Collison, Bailey subtypes and MFP (TME) subtypes as well \n",
    "cohort_ann = read_dataset('./data/PAAD_meta_cohort_annotation.tsv')\n",
    "print(cohort_ann.shape)\n",
    "cohort_ann.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2023-10-27T09:49:00.464001Z",
     "start_time": "2023-10-27T09:49:00.349364Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(25, 1657)\n"
     ]
    },
    {
     "data": {
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       "\n",
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>PANC78</th>\n",
       "      <th>PANC63</th>\n",
       "      <th>PANC70</th>\n",
       "      <th>PANC19</th>\n",
       "      <th>PANC32</th>\n",
       "      <th>PANC39</th>\n",
       "      <th>PANC89</th>\n",
       "      <th>PANC4</th>\n",
       "      <th>PANC16</th>\n",
       "      <th>PANC22</th>\n",
       "      <th>...</th>\n",
       "      <th>TCGA-IB-7889</th>\n",
       "      <th>TCGA-IB-7646</th>\n",
       "      <th>TCGA-XN-A8T5</th>\n",
       "      <th>TCGA-IB-7891</th>\n",
       "      <th>TCGA-2J-AABU</th>\n",
       "      <th>TCGA-2J-AABT</th>\n",
       "      <th>TCGA-H6-8124</th>\n",
       "      <th>TCGA-Z5-AAPL</th>\n",
       "      <th>TCGA-FB-AAQ2</th>\n",
       "      <th>TCGA-IB-AAUO</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>BG genesets</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>MHCI</th>\n",
       "      <td>0.606150</td>\n",
       "      <td>-0.227116</td>\n",
       "      <td>0.460422</td>\n",
       "      <td>-2.000000</td>\n",
       "      <td>-0.813501</td>\n",
       "      <td>0.398809</td>\n",
       "      <td>0.089988</td>\n",
       "      <td>0.510231</td>\n",
       "      <td>-0.187856</td>\n",
       "      <td>1.611373</td>\n",
       "      <td>...</td>\n",
       "      <td>-1.210678</td>\n",
       "      <td>0.907387</td>\n",
       "      <td>0.499413</td>\n",
       "      <td>0.543343</td>\n",
       "      <td>-0.924815</td>\n",
       "      <td>-0.183660</td>\n",
       "      <td>-2.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>0.249570</td>\n",
       "      <td>1.781808</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>MHCII</th>\n",
       "      <td>-0.544188</td>\n",
       "      <td>0.030789</td>\n",
       "      <td>0.383031</td>\n",
       "      <td>-0.160907</td>\n",
       "      <td>-1.179368</td>\n",
       "      <td>1.204366</td>\n",
       "      <td>0.221599</td>\n",
       "      <td>0.994753</td>\n",
       "      <td>1.222704</td>\n",
       "      <td>1.806902</td>\n",
       "      <td>...</td>\n",
       "      <td>0.621466</td>\n",
       "      <td>0.918158</td>\n",
       "      <td>0.613536</td>\n",
       "      <td>0.819935</td>\n",
       "      <td>-1.624376</td>\n",
       "      <td>0.709132</td>\n",
       "      <td>-2.000000</td>\n",
       "      <td>1.034331</td>\n",
       "      <td>-2.000000</td>\n",
       "      <td>-0.931479</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Coactivation_molecules</th>\n",
       "      <td>0.663965</td>\n",
       "      <td>-1.164686</td>\n",
       "      <td>-0.560165</td>\n",
       "      <td>0.133750</td>\n",
       "      <td>-0.934609</td>\n",
       "      <td>0.482492</td>\n",
       "      <td>0.103265</td>\n",
       "      <td>1.319433</td>\n",
       "      <td>0.127052</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.435616</td>\n",
       "      <td>0.423487</td>\n",
       "      <td>1.411425</td>\n",
       "      <td>0.826546</td>\n",
       "      <td>-0.803000</td>\n",
       "      <td>0.006692</td>\n",
       "      <td>-1.348642</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>-2.000000</td>\n",
       "      <td>-0.075043</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Effector_cells</th>\n",
       "      <td>0.755973</td>\n",
       "      <td>-0.294042</td>\n",
       "      <td>0.744220</td>\n",
       "      <td>0.325557</td>\n",
       "      <td>0.064570</td>\n",
       "      <td>-0.728427</td>\n",
       "      <td>-0.477813</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>0.914947</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>1.363724</td>\n",
       "      <td>0.554666</td>\n",
       "      <td>1.876188</td>\n",
       "      <td>0.951173</td>\n",
       "      <td>0.688693</td>\n",
       "      <td>-0.161404</td>\n",
       "      <td>-0.716007</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>-0.653495</td>\n",
       "      <td>0.932462</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>NK_cells</th>\n",
       "      <td>1.281684</td>\n",
       "      <td>0.688707</td>\n",
       "      <td>0.842955</td>\n",
       "      <td>0.865528</td>\n",
       "      <td>-0.262646</td>\n",
       "      <td>-0.098121</td>\n",
       "      <td>-0.201663</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>-0.694573</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>1.442844</td>\n",
       "      <td>0.899897</td>\n",
       "      <td>1.528195</td>\n",
       "      <td>0.627167</td>\n",
       "      <td>0.794668</td>\n",
       "      <td>-0.275831</td>\n",
       "      <td>-1.287383</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>-0.777866</td>\n",
       "      <td>1.668678</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 1657 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                          PANC78    PANC63    PANC70    PANC19    PANC32  \\\n",
       "BG genesets                                                                \n",
       "MHCI                    0.606150 -0.227116  0.460422 -2.000000 -0.813501   \n",
       "MHCII                  -0.544188  0.030789  0.383031 -0.160907 -1.179368   \n",
       "Coactivation_molecules  0.663965 -1.164686 -0.560165  0.133750 -0.934609   \n",
       "Effector_cells          0.755973 -0.294042  0.744220  0.325557  0.064570   \n",
       "NK_cells                1.281684  0.688707  0.842955  0.865528 -0.262646   \n",
       "\n",
       "                          PANC39    PANC89     PANC4    PANC16    PANC22  ...  \\\n",
       "BG genesets                                                               ...   \n",
       "MHCI                    0.398809  0.089988  0.510231 -0.187856  1.611373  ...   \n",
       "MHCII                   1.204366  0.221599  0.994753  1.222704  1.806902  ...   \n",
       "Coactivation_molecules  0.482492  0.103265  1.319433  0.127052  2.000000  ...   \n",
       "Effector_cells         -0.728427 -0.477813  2.000000  0.914947  2.000000  ...   \n",
       "NK_cells               -0.098121 -0.201663  2.000000 -0.694573  2.000000  ...   \n",
       "\n",
       "                        TCGA-IB-7889  TCGA-IB-7646  TCGA-XN-A8T5  \\\n",
       "BG genesets                                                        \n",
       "MHCI                       -1.210678      0.907387      0.499413   \n",
       "MHCII                       0.621466      0.918158      0.613536   \n",
       "Coactivation_molecules      0.435616      0.423487      1.411425   \n",
       "Effector_cells              1.363724      0.554666      1.876188   \n",
       "NK_cells                    1.442844      0.899897      1.528195   \n",
       "\n",
       "                        TCGA-IB-7891  TCGA-2J-AABU  TCGA-2J-AABT  \\\n",
       "BG genesets                                                        \n",
       "MHCI                        0.543343     -0.924815     -0.183660   \n",
       "MHCII                       0.819935     -1.624376      0.709132   \n",
       "Coactivation_molecules      0.826546     -0.803000      0.006692   \n",
       "Effector_cells              0.951173      0.688693     -0.161404   \n",
       "NK_cells                    0.627167      0.794668     -0.275831   \n",
       "\n",
       "                        TCGA-H6-8124  TCGA-Z5-AAPL  TCGA-FB-AAQ2  TCGA-IB-AAUO  \n",
       "BG genesets                                                                     \n",
       "MHCI                       -2.000000      2.000000      0.249570      1.781808  \n",
       "MHCII                      -2.000000      1.034331     -2.000000     -0.931479  \n",
       "Coactivation_molecules     -1.348642      2.000000     -2.000000     -0.075043  \n",
       "Effector_cells             -0.716007      2.000000     -0.653495      0.932462  \n",
       "NK_cells                   -1.287383      2.000000     -0.777866      1.668678  \n",
       "\n",
       "[5 rows x 1657 columns]"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Pancreatinc Adenocarcinoma Meta-cohort signatures scaled\n",
    "cohort_sign_sc = read_dataset('./data/PAAD_meta_cohort_signatures_scaled.tsv')\n",
    "print(cohort_sign_sc.shape)\n",
    "cohort_sign_sc.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2023-10-20T08:41:57.491442Z",
     "start_time": "2023-10-20T08:41:56.266676Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: xlabel='PCA 1 component 33% variance explained', ylabel='PCA 2 component 13% variance explained'>"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 600x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# PCA-plot for all samples from Meta-cohort colored by cohort\n",
    "pca_plot(cohort_sign_sc.loc[selected_signatures].T, cohort_ann.Cohort, legend='out')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2023-10-20T08:42:00.542649Z",
     "start_time": "2023-10-20T08:41:59.722098Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: xlabel='PCA 1 component 33% variance explained', ylabel='PCA 2 component 13% variance explained'>"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 600x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# PCA-plot for all samples from Meta-cohort colored by MFP subtype\n",
    "pca_plot(cohort_sign_sc.loc[selected_signatures].T, cohort_ann.MFP.dropna(), \n",
    "         palette=portrait_palette, legend='out')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Model"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2023-10-20T08:42:03.102316Z",
     "start_time": "2023-10-20T08:42:03.070694Z"
    }
   },
   "outputs": [],
   "source": [
    "# Supervised learning - fitting KNN model from sklearn\n",
    "## Train_X - Meta-cohort scaled gene signatures scores\n",
    "## Train_y - MFP subtypes taken from Meta-cohort annotation\n",
    "MFP_MODEL = KNeighborsClusterClassifier(norm=False, scale=False, \n",
    "                                        clip=3, k=35).fit(cohort_sign_sc.loc[selected_signatures].T, \n",
    "                                                           cohort_ann.MFP)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Cohort classification example"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Let's take additional PAAD dataset. Basically log2 transformed data of gene expressions is needed.\n",
    "\n",
    "Here for example we will take cohort from ICGC PACA CA dataset: https://dcc.icgc.org/projects/PACA-CA"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2023-10-27T09:49:15.836453Z",
     "start_time": "2023-10-27T09:49:15.802376Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(179, 2)\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>ICGC_Project_Code</th>\n",
       "      <th>Cohort</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>DO35083</th>\n",
       "      <td>ICGC_CA</td>\n",
       "      <td>ICGC_CA</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>DO35082</th>\n",
       "      <td>ICGC_CA</td>\n",
       "      <td>ICGC_CA</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>DO35085</th>\n",
       "      <td>ICGC_CA</td>\n",
       "      <td>ICGC_CA</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>DO35236</th>\n",
       "      <td>ICGC_CA</td>\n",
       "      <td>ICGC_CA</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>DO35230</th>\n",
       "      <td>ICGC_CA</td>\n",
       "      <td>ICGC_CA</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "        ICGC_Project_Code   Cohort\n",
       "DO35083           ICGC_CA  ICGC_CA\n",
       "DO35082           ICGC_CA  ICGC_CA\n",
       "DO35085           ICGC_CA  ICGC_CA\n",
       "DO35236           ICGC_CA  ICGC_CA\n",
       "DO35230           ICGC_CA  ICGC_CA"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#Reading annotation\n",
    "ann = read_dataset('./data/annotation.tsv')\n",
    "print(ann.shape)\n",
    "ann.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2023-10-27T09:49:21.909283Z",
     "start_time": "2023-10-27T09:49:16.017245Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(179, 20023)\n"
     ]
    },
    {
     "data": {
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       "    .dataframe tbody tr th:only-of-type {\n",
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       "\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>A1BG</th>\n",
       "      <th>A1CF</th>\n",
       "      <th>A2M</th>\n",
       "      <th>A2ML1</th>\n",
       "      <th>A3GALT2</th>\n",
       "      <th>A4GALT</th>\n",
       "      <th>A4GNT</th>\n",
       "      <th>AAAS</th>\n",
       "      <th>AACS</th>\n",
       "      <th>AADAC</th>\n",
       "      <th>...</th>\n",
       "      <th>ZWINT</th>\n",
       "      <th>ZXDA</th>\n",
       "      <th>ZXDB</th>\n",
       "      <th>ZXDC</th>\n",
       "      <th>ZYG11A</th>\n",
       "      <th>ZYG11B</th>\n",
       "      <th>ZYX</th>\n",
       "      <th>ZZEF1</th>\n",
       "      <th>ZZZ3</th>\n",
       "      <th>hsa-mir-1199</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>DO35083</th>\n",
       "      <td>1.911247</td>\n",
       "      <td>2.107440</td>\n",
       "      <td>7.308639</td>\n",
       "      <td>0.146655</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.079921</td>\n",
       "      <td>3.381462</td>\n",
       "      <td>5.770134</td>\n",
       "      <td>4.213658</td>\n",
       "      <td>2.734950</td>\n",
       "      <td>...</td>\n",
       "      <td>3.588433</td>\n",
       "      <td>1.944480</td>\n",
       "      <td>1.924632</td>\n",
       "      <td>2.672235</td>\n",
       "      <td>0.022776</td>\n",
       "      <td>2.612629</td>\n",
       "      <td>6.192881</td>\n",
       "      <td>4.362021</td>\n",
       "      <td>2.284715</td>\n",
       "      <td>2.528046</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>DO35082</th>\n",
       "      <td>1.080276</td>\n",
       "      <td>1.227415</td>\n",
       "      <td>6.121778</td>\n",
       "      <td>0.122649</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3.642921</td>\n",
       "      <td>0.392823</td>\n",
       "      <td>3.673115</td>\n",
       "      <td>4.304080</td>\n",
       "      <td>2.149383</td>\n",
       "      <td>...</td>\n",
       "      <td>4.042802</td>\n",
       "      <td>2.095347</td>\n",
       "      <td>2.421738</td>\n",
       "      <td>4.366063</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.818867</td>\n",
       "      <td>5.125490</td>\n",
       "      <td>4.640962</td>\n",
       "      <td>1.732187</td>\n",
       "      <td>1.596291</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>DO35085</th>\n",
       "      <td>1.141073</td>\n",
       "      <td>0.695756</td>\n",
       "      <td>5.389106</td>\n",
       "      <td>3.323759</td>\n",
       "      <td>0.0</td>\n",
       "      <td>4.128368</td>\n",
       "      <td>0.022810</td>\n",
       "      <td>4.612240</td>\n",
       "      <td>4.577260</td>\n",
       "      <td>2.247651</td>\n",
       "      <td>...</td>\n",
       "      <td>2.877157</td>\n",
       "      <td>1.588430</td>\n",
       "      <td>1.903490</td>\n",
       "      <td>3.911145</td>\n",
       "      <td>0.016892</td>\n",
       "      <td>2.343084</td>\n",
       "      <td>4.687066</td>\n",
       "      <td>5.363910</td>\n",
       "      <td>3.241750</td>\n",
       "      <td>1.047343</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>DO35236</th>\n",
       "      <td>0.572249</td>\n",
       "      <td>4.033379</td>\n",
       "      <td>6.982834</td>\n",
       "      <td>0.088728</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.787341</td>\n",
       "      <td>1.079846</td>\n",
       "      <td>5.425701</td>\n",
       "      <td>3.758133</td>\n",
       "      <td>1.762085</td>\n",
       "      <td>...</td>\n",
       "      <td>1.996776</td>\n",
       "      <td>1.986629</td>\n",
       "      <td>1.999159</td>\n",
       "      <td>3.420207</td>\n",
       "      <td>0.014763</td>\n",
       "      <td>2.922236</td>\n",
       "      <td>5.888858</td>\n",
       "      <td>4.975855</td>\n",
       "      <td>2.868622</td>\n",
       "      <td>1.959002</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>DO35230</th>\n",
       "      <td>0.445576</td>\n",
       "      <td>3.940270</td>\n",
       "      <td>6.553059</td>\n",
       "      <td>0.008225</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3.068499</td>\n",
       "      <td>0.032814</td>\n",
       "      <td>5.011039</td>\n",
       "      <td>4.440461</td>\n",
       "      <td>4.377714</td>\n",
       "      <td>...</td>\n",
       "      <td>2.855721</td>\n",
       "      <td>1.761234</td>\n",
       "      <td>2.274238</td>\n",
       "      <td>2.806233</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>2.809005</td>\n",
       "      <td>5.793670</td>\n",
       "      <td>4.709208</td>\n",
       "      <td>2.773131</td>\n",
       "      <td>2.499185</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 20023 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "             A1BG      A1CF       A2M     A2ML1  A3GALT2    A4GALT     A4GNT  \\\n",
       "DO35083  1.911247  2.107440  7.308639  0.146655      0.0  1.079921  3.381462   \n",
       "DO35082  1.080276  1.227415  6.121778  0.122649      0.0  3.642921  0.392823   \n",
       "DO35085  1.141073  0.695756  5.389106  3.323759      0.0  4.128368  0.022810   \n",
       "DO35236  0.572249  4.033379  6.982834  0.088728      0.0  1.787341  1.079846   \n",
       "DO35230  0.445576  3.940270  6.553059  0.008225      0.0  3.068499  0.032814   \n",
       "\n",
       "             AAAS      AACS     AADAC  ...     ZWINT      ZXDA      ZXDB  \\\n",
       "DO35083  5.770134  4.213658  2.734950  ...  3.588433  1.944480  1.924632   \n",
       "DO35082  3.673115  4.304080  2.149383  ...  4.042802  2.095347  2.421738   \n",
       "DO35085  4.612240  4.577260  2.247651  ...  2.877157  1.588430  1.903490   \n",
       "DO35236  5.425701  3.758133  1.762085  ...  1.996776  1.986629  1.999159   \n",
       "DO35230  5.011039  4.440461  4.377714  ...  2.855721  1.761234  2.274238   \n",
       "\n",
       "             ZXDC    ZYG11A    ZYG11B       ZYX     ZZEF1      ZZZ3  \\\n",
       "DO35083  2.672235  0.022776  2.612629  6.192881  4.362021  2.284715   \n",
       "DO35082  4.366063  0.000000  1.818867  5.125490  4.640962  1.732187   \n",
       "DO35085  3.911145  0.016892  2.343084  4.687066  5.363910  3.241750   \n",
       "DO35236  3.420207  0.014763  2.922236  5.888858  4.975855  2.868622   \n",
       "DO35230  2.806233  0.000000  2.809005  5.793670  4.709208  2.773131   \n",
       "\n",
       "         hsa-mir-1199  \n",
       "DO35083      2.528046  \n",
       "DO35082      1.596291  \n",
       "DO35085      1.047343  \n",
       "DO35236      1.959002  \n",
       "DO35230      2.499185  \n",
       "\n",
       "[5 rows x 20023 columns]"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#Reading annotation\n",
    "## Note: this expression data is already log2(1+data) transformed\n",
    "exp = read_dataset('./data/expressions.tsv')\n",
    "print(exp.shape)\n",
    "exp.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2023-10-20T08:42:12.002698Z",
     "start_time": "2023-10-20T08:42:11.114497Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: ylabel='Density'>"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 768x576 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Let's see distribution of expressions of genes\n",
    "sns.distplot(exp.mean())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2023-10-20T08:42:14.194622Z",
     "start_time": "2023-10-20T08:42:13.237441Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: xlabel='PCA 1 component 9% variance explained', ylabel='PCA 2 component 5% variance explained'>"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 600x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Check for presence of batches in cohort is needed \n",
    "pca_plot(exp)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "No big batches can be observed in this dataset, according to PCA components variance explained (9% and 5%)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "* Note that for every dataset or a batch median scalling should be used separately. \n",
    "* Note for small datasets/batches: For one RNA-seq sample or a small cohort (<20 samples) it is suggested to add samples to TCGA cohort and classify them together. Be aware, that you should drop TCGA cohort from pancancer dataset."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Calc signatures"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2023-10-20T08:42:23.494195Z",
     "start_time": "2023-10-20T08:42:22.592807Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(179, 25)\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>MHCI</th>\n",
       "      <th>MHCII</th>\n",
       "      <th>Coactivation_molecules</th>\n",
       "      <th>Effector_cells</th>\n",
       "      <th>NK_cells</th>\n",
       "      <th>T_cells</th>\n",
       "      <th>B_cells</th>\n",
       "      <th>M1_signatures</th>\n",
       "      <th>Th1_signature</th>\n",
       "      <th>Antitumor_cytokines</th>\n",
       "      <th>...</th>\n",
       "      <th>Th2_signature</th>\n",
       "      <th>Protumor_cytokines</th>\n",
       "      <th>Angiogenesis</th>\n",
       "      <th>Endothelium</th>\n",
       "      <th>CAF_associated</th>\n",
       "      <th>Proliferation_rate</th>\n",
       "      <th>Oncogenes_PDAC</th>\n",
       "      <th>EMT_signature</th>\n",
       "      <th>T_cell_traffic</th>\n",
       "      <th>Hu-Lgr5-ISC</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>DO35083</th>\n",
       "      <td>1.155882</td>\n",
       "      <td>0.717147</td>\n",
       "      <td>-0.905073</td>\n",
       "      <td>0.433712</td>\n",
       "      <td>0.336423</td>\n",
       "      <td>0.880093</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>0.547190</td>\n",
       "      <td>0.805843</td>\n",
       "      <td>0.888141</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.507708</td>\n",
       "      <td>1.002954</td>\n",
       "      <td>-0.264977</td>\n",
       "      <td>-0.674490</td>\n",
       "      <td>-0.898110</td>\n",
       "      <td>1.208804</td>\n",
       "      <td>0.608744</td>\n",
       "      <td>-0.814145</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>-1.120996</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>DO35082</th>\n",
       "      <td>0.450086</td>\n",
       "      <td>0.092091</td>\n",
       "      <td>0.327299</td>\n",
       "      <td>-1.133219</td>\n",
       "      <td>-1.358502</td>\n",
       "      <td>-1.059458</td>\n",
       "      <td>-0.396632</td>\n",
       "      <td>1.795874</td>\n",
       "      <td>-2.000000</td>\n",
       "      <td>-0.630683</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.476381</td>\n",
       "      <td>1.027512</td>\n",
       "      <td>0.386685</td>\n",
       "      <td>-0.131607</td>\n",
       "      <td>0.436480</td>\n",
       "      <td>0.588151</td>\n",
       "      <td>0.627364</td>\n",
       "      <td>0.938966</td>\n",
       "      <td>0.702569</td>\n",
       "      <td>0.591966</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>DO35085</th>\n",
       "      <td>1.115460</td>\n",
       "      <td>0.019797</td>\n",
       "      <td>0.099723</td>\n",
       "      <td>0.934251</td>\n",
       "      <td>1.220752</td>\n",
       "      <td>0.149956</td>\n",
       "      <td>-1.832526</td>\n",
       "      <td>-1.088611</td>\n",
       "      <td>0.761742</td>\n",
       "      <td>0.057052</td>\n",
       "      <td>...</td>\n",
       "      <td>1.633286</td>\n",
       "      <td>0.672507</td>\n",
       "      <td>0.390003</td>\n",
       "      <td>0.003329</td>\n",
       "      <td>0.047881</td>\n",
       "      <td>-0.182619</td>\n",
       "      <td>-0.947362</td>\n",
       "      <td>0.731469</td>\n",
       "      <td>1.102171</td>\n",
       "      <td>1.130537</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>DO35236</th>\n",
       "      <td>-0.169289</td>\n",
       "      <td>-1.434288</td>\n",
       "      <td>-1.150187</td>\n",
       "      <td>-1.014529</td>\n",
       "      <td>-0.659329</td>\n",
       "      <td>-0.774253</td>\n",
       "      <td>0.271261</td>\n",
       "      <td>-0.028122</td>\n",
       "      <td>-1.064912</td>\n",
       "      <td>-0.328759</td>\n",
       "      <td>...</td>\n",
       "      <td>1.295374</td>\n",
       "      <td>-0.360799</td>\n",
       "      <td>-1.206221</td>\n",
       "      <td>-0.958225</td>\n",
       "      <td>-0.439806</td>\n",
       "      <td>-1.528337</td>\n",
       "      <td>-0.203452</td>\n",
       "      <td>-0.313138</td>\n",
       "      <td>0.135655</td>\n",
       "      <td>0.559577</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>DO35230</th>\n",
       "      <td>-1.627272</td>\n",
       "      <td>-0.444011</td>\n",
       "      <td>-1.113247</td>\n",
       "      <td>0.328068</td>\n",
       "      <td>0.721872</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.541718</td>\n",
       "      <td>-0.661716</td>\n",
       "      <td>0.008828</td>\n",
       "      <td>-0.719519</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.101950</td>\n",
       "      <td>-0.886857</td>\n",
       "      <td>-0.835414</td>\n",
       "      <td>-0.303728</td>\n",
       "      <td>-1.652042</td>\n",
       "      <td>-0.700079</td>\n",
       "      <td>0.530056</td>\n",
       "      <td>-1.136284</td>\n",
       "      <td>0.164482</td>\n",
       "      <td>-1.463169</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 25 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "             MHCI     MHCII  Coactivation_molecules  Effector_cells  NK_cells  \\\n",
       "DO35083  1.155882  0.717147               -0.905073        0.433712  0.336423   \n",
       "DO35082  0.450086  0.092091                0.327299       -1.133219 -1.358502   \n",
       "DO35085  1.115460  0.019797                0.099723        0.934251  1.220752   \n",
       "DO35236 -0.169289 -1.434288               -1.150187       -1.014529 -0.659329   \n",
       "DO35230 -1.627272 -0.444011               -1.113247        0.328068  0.721872   \n",
       "\n",
       "          T_cells   B_cells  M1_signatures  Th1_signature  \\\n",
       "DO35083  0.880093  2.000000       0.547190       0.805843   \n",
       "DO35082 -1.059458 -0.396632       1.795874      -2.000000   \n",
       "DO35085  0.149956 -1.832526      -1.088611       0.761742   \n",
       "DO35236 -0.774253  0.271261      -0.028122      -1.064912   \n",
       "DO35230  0.000000  0.541718      -0.661716       0.008828   \n",
       "\n",
       "         Antitumor_cytokines  ...  Th2_signature  Protumor_cytokines  \\\n",
       "DO35083             0.888141  ...      -0.507708            1.002954   \n",
       "DO35082            -0.630683  ...      -0.476381            1.027512   \n",
       "DO35085             0.057052  ...       1.633286            0.672507   \n",
       "DO35236            -0.328759  ...       1.295374           -0.360799   \n",
       "DO35230            -0.719519  ...      -0.101950           -0.886857   \n",
       "\n",
       "         Angiogenesis  Endothelium  CAF_associated  Proliferation_rate  \\\n",
       "DO35083     -0.264977    -0.674490       -0.898110            1.208804   \n",
       "DO35082      0.386685    -0.131607        0.436480            0.588151   \n",
       "DO35085      0.390003     0.003329        0.047881           -0.182619   \n",
       "DO35236     -1.206221    -0.958225       -0.439806           -1.528337   \n",
       "DO35230     -0.835414    -0.303728       -1.652042           -0.700079   \n",
       "\n",
       "         Oncogenes_PDAC  EMT_signature  T_cell_traffic  Hu-Lgr5-ISC  \n",
       "DO35083        0.608744      -0.814145        2.000000    -1.120996  \n",
       "DO35082        0.627364       0.938966        0.702569     0.591966  \n",
       "DO35085       -0.947362       0.731469        1.102171     1.130537  \n",
       "DO35236       -0.203452      -0.313138        0.135655     0.559577  \n",
       "DO35230        0.530056      -1.136284        0.164482    -1.463169  \n",
       "\n",
       "[5 rows x 25 columns]"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Calculating gene signatures\n",
    "sign = ssgsea_formula(exp.T, signatures).T\n",
    "\n",
    "# Median scaling\n",
    "sign_sc = median_scale(sign.T, clip=2)\n",
    "print(sign_sc.shape)\n",
    "sign_sc.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Predict "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2023-10-20T08:42:27.955198Z",
     "start_time": "2023-10-20T08:42:26.853137Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "25\n",
      "25\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<Axes: xlabel='MFP'>"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 480x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# KNN prediction for taken dataset\n",
    "mfp_predicted = MFP_MODEL.predict(sign_sc).rename('MFP')\n",
    "\n",
    "# Vector Pie-plot\n",
    "vector_pie_plot(mfp_predicted, palette=portrait_palette)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2023-10-20T08:42:29.965146Z",
     "start_time": "2023-10-20T08:42:28.943827Z"
    }
   },
   "outputs": [
    {
     "data": {
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      "text/plain": [
       "<Figure size 1440x876 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# sorting samples by MFP subtype with such order ['IEF', 'IE', 'F', 'ID']\n",
    "## Note we use sign_sc['Proliferation_rate'] as additional sorting inside TME subtype\n",
    "so = sort_by_terms_order(mfp_predicted, portrait_order, sign_sc['Proliferation_rate'])\n",
    "\n",
    "# Stating subplots of a picture\n",
    "af = axis_matras([.3, 7], x_len=12)\n",
    "\n",
    "# Taking subplot\n",
    "ax = next(af)\n",
    "\n",
    "# Plotting samples' MFP subtype accoring to sorting order \"so\"\n",
    "line_palette_annotation_plot(mfp_predicted[so], ax=ax, palette=portrait_palette)\n",
    "\n",
    "# Taking next subplot\n",
    "ax = next(af)\n",
    "\n",
    "# Heatmap of scaled signatures for taken dataset\n",
    "sns.heatmap(sign_sc.loc[so, selected_signatures].T, vmin=-2, vmax=2,\n",
    "            yticklabels=True, xticklabels=False, cbar=False, cmap=plt.cm.coolwarm, ax=ax)\n",
    "\n",
    "plt.tight_layout(pad=.1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2023-10-20T08:42:30.026275Z",
     "start_time": "2023-10-20T08:42:29.969033Z"
    }
   },
   "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>IEF</th>\n",
       "      <th>IE</th>\n",
       "      <th>F</th>\n",
       "      <th>ID</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>MHCI</th>\n",
       "      <td>-0.198249</td>\n",
       "      <td>0.548168</td>\n",
       "      <td>-0.281133</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>MHCII</th>\n",
       "      <td>0.355573</td>\n",
       "      <td>0.384075</td>\n",
       "      <td>-0.459288</td>\n",
       "      <td>-1.219260</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Coactivation_molecules</th>\n",
       "      <td>0.239420</td>\n",
       "      <td>0.183930</td>\n",
       "      <td>-0.155827</td>\n",
       "      <td>-0.144285</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Effector_cells</th>\n",
       "      <td>0.514014</td>\n",
       "      <td>0.663633</td>\n",
       "      <td>-0.723642</td>\n",
       "      <td>-0.520278</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>NK_cells</th>\n",
       "      <td>0.125797</td>\n",
       "      <td>0.771439</td>\n",
       "      <td>-0.663140</td>\n",
       "      <td>-0.090723</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                             IEF        IE         F        ID\n",
       "MHCI                   -0.198249  0.548168 -0.281133  0.000000\n",
       "MHCII                   0.355573  0.384075 -0.459288 -1.219260\n",
       "Coactivation_molecules  0.239420  0.183930 -0.155827 -0.144285\n",
       "Effector_cells          0.514014  0.663633 -0.723642 -0.520278\n",
       "NK_cells                0.125797  0.771439 -0.663140 -0.090723"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Let's also plot median signal for each TME subtype for taken dataset\n",
    "\n",
    "sigs_median_value_TME = []\n",
    "\n",
    "# Iterating for each TME subtype\n",
    "for mfp_subtype in ['IEF', 'IE', 'F', 'ID']:\n",
    "    \n",
    "    # Taking samples from one TME subtype\n",
    "    samples = mfp_predicted[mfp_predicted == mfp_subtype].index\n",
    "    \n",
    "    # Retrieving needed scaled gene signature scores\n",
    "    sigs_sc_taken = sign_sc.loc[samples].T\n",
    "    \n",
    "    # Calculating median\n",
    "    sigs_sc_taken_median = sigs_sc_taken.median(axis=1)\n",
    "    \n",
    "    # Appending to list\n",
    "    sigs_median_value_TME.append(sigs_sc_taken_median)\n",
    "\n",
    "# Concating all together\n",
    "sigs_sc_median = pd.concat(sigs_median_value_TME, axis=1)\n",
    "sigs_sc_median.columns = ['IEF', 'IE', 'F', 'ID']\n",
    "sigs_sc_median.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Note: in \"sigs_sc_median\" there are no samples' IDs, they were dropped during median scaling"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2023-10-20T08:42:30.802732Z",
     "start_time": "2023-10-20T08:42:30.275207Z"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1440x876 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Stating order\n",
    "so_mfp_subtypes = ['IEF', 'IE', 'F', 'ID']\n",
    "\n",
    "# Stating subplots of a picture\n",
    "af = axis_matras([.3, 7], x_len=12)\n",
    "\n",
    "# Taking subplot\n",
    "ax = next(af)\n",
    "\n",
    "# Creating instrumental pandas series and plotting\n",
    "line_palette_annotation_plot(\n",
    "    pd.Series({'IEF':'IEF', 'IE':'IE', 'F':'F', 'ID':'ID'}).loc[so_mfp_subtypes],\n",
    "    palette=portrait_palette,\n",
    "    ax=ax\n",
    ")\n",
    "\n",
    "# Taking next subplot\n",
    "ax = next(af)\n",
    "\n",
    "# Heatmap of median values of scaled signatures for each TME subtype for taken dataset\n",
    "sns.heatmap(sigs_sc_median.loc[selected_signatures, so_mfp_subtypes], vmin=-1, vmax=1,\n",
    "            yticklabels=True, xticklabels=False, cbar=False, cmap=plt.cm.coolwarm, ax=ax)\n",
    "\n",
    "plt.tight_layout(pad=.1)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Final"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "venv",
   "language": "python",
   "name": "python3"
  },
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    "name": "ipython",
    "version": 3
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   "file_extension": ".py",
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   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.9.13"
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  "toc": {
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   "title_cell": "Table of Contents",
   "title_sidebar": "Contents",
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   "toc_position": {
    "height": "calc(100% - 180px)",
    "left": "10px",
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    "width": "383.993px"
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