08_cell_line_prediction/lasso_range_all.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "6fdd9bfd-2ffc-47f2-96e9-e7a9c02221a5",
   "metadata": {},
   "source": [
    "### TCGA <-> CCLE mutation prediction: LASSO parameter range experiments, summary across all genes\n",
    "\n",
    "Here, we're interested in:\n",
    "\n",
    "* Training mutation status models on data from TCGA (human tumor samples) and testing on data from CCLE (cancer cell lines), or\n",
    "* Training mutation status models on data from CCLE and testing on data from TCGA\n",
    "\n",
    "This is similar to our other experiments where we hold out and evaluate on all data from a single cancer type, but now the \"domains\" are entire datasets rather than cancer types from the same dataset.\n",
    "\n",
    "This script plots the summarized results of varying regularization strength (LASSO parameter) across all genes in our cancer driver gene set."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "3d1d8c71-d646-441a-931b-11349d701ed2",
   "metadata": {},
   "outputs": [],
   "source": [
    "import os\n",
    "import itertools as it\n",
    "from math import ceil\n",
    "\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "import matplotlib.patches\n",
    "from matplotlib.colors import Normalize\n",
    "from scipy.stats import pearsonr, spearmanr\n",
    "import seaborn as sns\n",
    "\n",
    "import pancancer_evaluation.config as cfg\n",
    "import pancancer_evaluation.utilities.data_utilities as du\n",
    "import pancancer_evaluation.utilities.analysis_utilities as au\n",
    "\n",
    "%load_ext autoreload\n",
    "%autoreload 2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "8ecc9509-3356-45c8-ad0e-a8d605cfc6aa",
   "metadata": {
    "tags": [
     "parameters"
    ]
   },
   "outputs": [],
   "source": [
    "# direction to plot results for\n",
    "# 'ccle_tcga' (train CCLE, test TCGA) or 'tcga_ccle' (train TCGA, test CCLE)\n",
    "direction = 'tcga_ccle'\n",
    "\n",
    "if direction == 'ccle_tcga':\n",
    "    results_dir = os.path.join(\n",
    "        cfg.repo_root, '08_cell_line_prediction', 'results', 'ccle_to_tcga'\n",
    "    )\n",
    "else:\n",
    "    results_dir = os.path.join(\n",
    "        cfg.repo_root, '08_cell_line_prediction', 'results', 'tcga_to_ccle'\n",
    "    )\n",
    "\n",
    "if 'sgd' in results_dir:\n",
    "    param_orientation = 'lower'\n",
    "else:\n",
    "    param_orientation = 'higher'\n",
    "    \n",
    "# performance metric: 'aupr' or 'auroc'\n",
    "metric = 'aupr'\n",
    "\n",
    "output_plots = True\n",
    "output_plots_dir = os.path.join(\n",
    "    cfg.repo_root, '08_cell_line_prediction', 'generalization_plots'\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c0d2dc3e-a355-44eb-b856-3bcbb50f8e4e",
   "metadata": {},
   "source": [
    "### Get coefficient information for each lasso penalty"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "7ea04459-0ead-45e1-b50b-97ac49facd1c",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(12496, 5)\n",
      "['TP53' 'KDM5C' 'RB1' 'CIC' 'BRAF' 'JAK1' 'ARID2' 'CSF1R' 'NPM1' 'PBRM1'\n",
      " 'MET' 'CDKN2A' 'NCOR1' 'FLT3' 'CREBBP' 'ALK' 'SMARCA4' 'FOXL2' 'NF2'\n",
      " 'BCOR' 'NRAS' 'ERBB2' 'ARID1A' 'PDGFRA' 'AXIN1' 'MED12' 'SETBP1' 'KDM6A'\n",
      " 'STK11' 'NOTCH1' 'STAG2' 'SMAD4' 'ARID1B' 'FGFR2' 'FBXW7' 'EGFR' 'APC'\n",
      " 'IDH2' 'VHL' 'IDH1' 'EP300' 'ATRX' 'GNAS' 'SMAD2' 'CTNNB1' 'PTEN' 'DNMT1'\n",
      " 'ABL1' 'PIK3CA' 'NOTCH2' 'FGFR3' 'GATA2' 'CARD11' 'KIT' 'ATM' 'ASXL1'\n",
      " 'CDH1' 'BAP1' 'FUBP1' 'SF3B1' 'RNF43' 'NF1' 'NFE2L2' 'BRCA2' 'SETD2'\n",
      " 'CASP8' 'SOX9' 'GNAQ' 'KRAS' 'JAK2' 'EZH2']\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>gene</th>\n",
       "      <th>lasso_param</th>\n",
       "      <th>seed</th>\n",
       "      <th>fold</th>\n",
       "      <th>nz_coefs</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>TP53</td>\n",
       "      <td>3.160000e-01</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>2017</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>TP53</td>\n",
       "      <td>3.160000e-01</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2684</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>TP53</td>\n",
       "      <td>3.160000e-01</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>2702</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>TP53</td>\n",
       "      <td>3.160000e-01</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>2093</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>TP53</td>\n",
       "      <td>3.160000e+07</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>15272</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   gene   lasso_param  seed  fold  nz_coefs\n",
       "0  TP53  3.160000e-01     1     0      2017\n",
       "1  TP53  3.160000e-01     1     1      2684\n",
       "2  TP53  3.160000e-01     1     2      2702\n",
       "3  TP53  3.160000e-01     1     3      2093\n",
       "4  TP53  3.160000e+07     1     0     15272"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "nz_coefs_df = []\n",
    "\n",
    "# get pancancer coefs info for now\n",
    "for coef_info in au.generate_nonzero_coefficients_lasso_range(results_dir):\n",
    "    (gene,\n",
    "     cancer_type,\n",
    "     seed,\n",
    "     lasso_param,\n",
    "     coefs_list) = coef_info\n",
    "    for fold_no, coefs in enumerate(coefs_list):\n",
    "        nz_coefs_df.append(\n",
    "            [gene, cancer_type, lasso_param, seed, fold_no, len(coefs)]\n",
    "        )\n",
    "        \n",
    "nz_coefs_df = pd.DataFrame(\n",
    "    nz_coefs_df,\n",
    "    columns=['gene', 'cancer_type', 'lasso_param', 'seed', 'fold', 'nz_coefs']\n",
    ")\n",
    "nz_coefs_df.drop(columns=['cancer_type'], inplace=True)\n",
    "nz_coefs_df.lasso_param = nz_coefs_df.lasso_param.astype(float)\n",
    "\n",
    "print(nz_coefs_df.shape)\n",
    "print(nz_coefs_df.gene.unique())\n",
    "nz_coefs_df.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f3ec0bc5-aa38-4519-8fa3-0cccfb6d4fc3",
   "metadata": {},
   "source": [
    "### Get performance information for each lasso penalty"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "13e14423-9847-416b-bccb-d84852979412",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(37488, 9)\n",
      "['TP53' 'KDM5C' 'RB1' 'CIC' 'BRAF' 'JAK1' 'ARID2' 'CSF1R' 'NPM1' 'PBRM1'\n",
      " 'MET' 'CDKN2A' 'NCOR1' 'FLT3' 'CREBBP' 'ALK' 'SMARCA4' 'FOXL2' 'NF2'\n",
      " 'BCOR' 'NRAS' 'ERBB2' 'ARID1A' 'PDGFRA' 'AXIN1' 'MED12' 'SETBP1' 'KDM6A'\n",
      " 'STK11' 'NOTCH1' 'STAG2' 'SMAD4' 'ARID1B' 'FGFR2' 'FBXW7' 'EGFR' 'APC'\n",
      " 'IDH2' 'VHL' 'IDH1' 'EP300' 'ATRX' 'GNAS' 'SMAD2' 'CTNNB1' 'PTEN' 'DNMT1'\n",
      " 'ABL1' 'PIK3CA' 'NOTCH2' 'FGFR3' 'GATA2' 'CARD11' 'KIT' 'ATM' 'ASXL1'\n",
      " 'CDH1' 'BAP1' 'FUBP1' 'SF3B1' 'RNF43' 'NF1' 'NFE2L2' 'BRCA2' 'SETD2'\n",
      " 'CASP8' 'SOX9' 'GNAQ' 'KRAS' 'JAK2' 'EZH2']\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>auroc</th>\n",
       "      <th>aupr</th>\n",
       "      <th>gene</th>\n",
       "      <th>signal</th>\n",
       "      <th>seed</th>\n",
       "      <th>data_type</th>\n",
       "      <th>fold</th>\n",
       "      <th>experiment</th>\n",
       "      <th>lasso_param</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0.87926</td>\n",
       "      <td>0.84425</td>\n",
       "      <td>TP53</td>\n",
       "      <td>signal</td>\n",
       "      <td>1</td>\n",
       "      <td>train</td>\n",
       "      <td>0</td>\n",
       "      <td>tcga_to_ccle</td>\n",
       "      <td>0.00316</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>0.84879</td>\n",
       "      <td>0.90083</td>\n",
       "      <td>TP53</td>\n",
       "      <td>signal</td>\n",
       "      <td>1</td>\n",
       "      <td>test</td>\n",
       "      <td>0</td>\n",
       "      <td>tcga_to_ccle</td>\n",
       "      <td>0.00316</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>0.87667</td>\n",
       "      <td>0.84512</td>\n",
       "      <td>TP53</td>\n",
       "      <td>signal</td>\n",
       "      <td>1</td>\n",
       "      <td>cv</td>\n",
       "      <td>0</td>\n",
       "      <td>tcga_to_ccle</td>\n",
       "      <td>0.00316</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>0.88281</td>\n",
       "      <td>0.84779</td>\n",
       "      <td>TP53</td>\n",
       "      <td>signal</td>\n",
       "      <td>1</td>\n",
       "      <td>train</td>\n",
       "      <td>1</td>\n",
       "      <td>tcga_to_ccle</td>\n",
       "      <td>0.00316</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>0.85497</td>\n",
       "      <td>0.90186</td>\n",
       "      <td>TP53</td>\n",
       "      <td>signal</td>\n",
       "      <td>1</td>\n",
       "      <td>test</td>\n",
       "      <td>1</td>\n",
       "      <td>tcga_to_ccle</td>\n",
       "      <td>0.00316</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     auroc     aupr  gene  signal  seed data_type  fold    experiment  \\\n",
       "0  0.87926  0.84425  TP53  signal     1     train     0  tcga_to_ccle   \n",
       "1  0.84879  0.90083  TP53  signal     1      test     0  tcga_to_ccle   \n",
       "2  0.87667  0.84512  TP53  signal     1        cv     0  tcga_to_ccle   \n",
       "3  0.88281  0.84779  TP53  signal     1     train     1  tcga_to_ccle   \n",
       "4  0.85497  0.90186  TP53  signal     1      test     1  tcga_to_ccle   \n",
       "\n",
       "   lasso_param  \n",
       "0      0.00316  \n",
       "1      0.00316  \n",
       "2      0.00316  \n",
       "3      0.00316  \n",
       "4      0.00316  "
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "perf_df = au.load_prediction_results_lasso_range(results_dir, 'tcga_to_ccle')\n",
    "perf_df.drop(columns=['holdout_cancer_type'], inplace=True)\n",
    "perf_df.lasso_param = perf_df.lasso_param.astype(float)\n",
    "\n",
    "print(perf_df.shape)\n",
    "print(perf_df.gene.unique())\n",
    "perf_df.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "dc81ba78-f674-4259-9e6e-1369990f3e58",
   "metadata": {},
   "source": [
    "### Distribution of model sizes (number of nonzero coefficients)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "3d5f5238-bb25-443e-8d74-aad11204c679",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 1200x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.set({'figure.figsize': (12, 5)})\n",
    "sns.set_style('whitegrid')\n",
    "\n",
    "sns.boxplot(\n",
    "    data=nz_coefs_df.sort_values(by=['lasso_param']),\n",
    "    x='lasso_param', y='nz_coefs'\n",
    ")\n",
    "\n",
    "# color the boxplot lines/edges rather than the box fill\n",
    "# this makes it easier to discern colors at the extremes; i.e. very many or few nonzero coefs\n",
    "# https://stackoverflow.com/a/72333641\n",
    "ax = plt.gca()\n",
    "box_patches = [patch for patch in ax.patches if type(patch) == matplotlib.patches.PathPatch]\n",
    "num_patches = len(box_patches)\n",
    "lines_per_boxplot = len(ax.lines) // num_patches\n",
    "for i, patch in enumerate(box_patches):\n",
    "    # set the linecolor on the patch to the facecolor, and set the facecolor to None\n",
    "    col = patch.get_facecolor()\n",
    "    patch.set_edgecolor(col)\n",
    "    patch.set_facecolor('None')\n",
    "\n",
    "    # each box has associated Line2D objects (to make the whiskers, fliers, etc.)\n",
    "    # loop over them here, and use the same color as above\n",
    "    for line in ax.lines[i * lines_per_boxplot: (i + 1) * lines_per_boxplot]:\n",
    "        line.set_color(col)\n",
    "        line.set_mfc(col)  # facecolor of fliers\n",
    "        line.set_mec(col)  # edgecolor of fliers\n",
    "\n",
    "if direction == 'ccle_tcga':\n",
    "    plt.title(f'LASSO parameter vs. number of nonzero coefficients, all genes, CCLE to TCGA', size=16)\n",
    "else:\n",
    "    plt.title(f'LASSO parameter vs. number of nonzero coefficients, all genes, TCGA to CCLE', size=16)\n",
    "plt.xlabel(f'LASSO parameter ({param_orientation} = less regularization)', size=14)\n",
    "plt.ylabel('Number of nonzero coefficients', size=14)\n",
    "_, xlabels = plt.xticks()\n",
    "_ = ax.set_xticklabels(xlabels, size=12)\n",
    "ax.set_yticks(ax.get_yticks()[1:])\n",
    "_ = ax.set_yticklabels(ax.get_yticks(), size=12)\n",
    "plt.gca().tick_params(axis='x', rotation=45)\n",
    "plt.tight_layout()\n",
    "\n",
    "if output_plots:\n",
    "    os.makedirs(output_plots_dir, exist_ok=True)\n",
    "    plt.savefig(os.path.join(output_plots_dir, f'all_{direction}_nz_coefs.svg'), bbox_inches='tight')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "15e46d07-82fd-44de-836c-48ecf7b193fd",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(37488, 8)\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>gene</th>\n",
       "      <th>lasso_param</th>\n",
       "      <th>seed</th>\n",
       "      <th>fold</th>\n",
       "      <th>nz_coefs</th>\n",
       "      <th>auroc</th>\n",
       "      <th>aupr</th>\n",
       "      <th>data_type</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>TP53</td>\n",
       "      <td>0.316</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>2017</td>\n",
       "      <td>1.00000</td>\n",
       "      <td>1.00000</td>\n",
       "      <td>train</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>TP53</td>\n",
       "      <td>0.316</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>2017</td>\n",
       "      <td>0.88424</td>\n",
       "      <td>0.93006</td>\n",
       "      <td>test</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>TP53</td>\n",
       "      <td>0.316</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>2017</td>\n",
       "      <td>0.91916</td>\n",
       "      <td>0.89862</td>\n",
       "      <td>cv</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>TP53</td>\n",
       "      <td>0.316</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2684</td>\n",
       "      <td>0.99999</td>\n",
       "      <td>0.99999</td>\n",
       "      <td>train</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>TP53</td>\n",
       "      <td>0.316</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2684</td>\n",
       "      <td>0.88031</td>\n",
       "      <td>0.92463</td>\n",
       "      <td>test</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   gene  lasso_param  seed  fold  nz_coefs    auroc     aupr data_type\n",
       "0  TP53        0.316     1     0      2017  1.00000  1.00000     train\n",
       "1  TP53        0.316     1     0      2017  0.88424  0.93006      test\n",
       "2  TP53        0.316     1     0      2017  0.91916  0.89862        cv\n",
       "3  TP53        0.316     1     1      2684  0.99999  0.99999     train\n",
       "4  TP53        0.316     1     1      2684  0.88031  0.92463      test"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "coefs_perf_df = (nz_coefs_df\n",
    "    .merge(perf_df[perf_df.signal == 'signal'],\n",
    "           on=['gene', 'seed', 'fold', 'lasso_param'])\n",
    "    .drop(columns=['signal', 'experiment'])\n",
    ")\n",
    "\n",
    "print(coefs_perf_df.shape)\n",
    "coefs_perf_df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "844020fb-dbaf-4b08-a92d-93d2b68e11c3",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 0, 'Number of nonzero coefficients')"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 800x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.set({'figure.figsize': (8, 6)})\n",
    "\n",
    "sns.histplot(coefs_perf_df.nz_coefs)\n",
    "plt.title('Distribution of feature count across cancer types/folds')\n",
    "plt.xlabel('Number of nonzero coefficients')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "5afd6df8-f7e6-42d0-8018-a772a1a71061",
   "metadata": {},
   "source": [
    "### Get \"best\" LASSO parameters and compare performance across all genes\n",
    "\n",
    "We want to use two different strategies to pick the \"best\" LASSO parameter:\n",
    "\n",
    "1. Choose the top 25% of LASSO parameters based on validation set AUPR, then take the smallest model (least nonzero coefficients) in that set. This is the \"parsimonious\" approach that assumes that smaller models will generalize better.\n",
    "2. Choose the top LASSO parameter based solely on validation set AUPR, without considering model size. This is the \"non-parsimonious\" approach.\n",
    "\n",
    "We'll do this for each gene/cancer type in the dataset below, and plot the distribution of differences between the two strategies, as a way to quantify which strategy is \"better\" for generalization across cancer types."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "4620a156-4486-4827-a9a1-5f3328bf671b",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['SETD2', 10.0, 0.1, 0.04145500000000002]\n"
     ]
    }
   ],
   "source": [
    "def get_top_and_smallest_diff(gene, top_proportion=0.25):\n",
    "    top_df = (\n",
    "        perf_df[(perf_df.gene == gene) &\n",
    "                (perf_df.data_type == 'cv') &\n",
    "                (perf_df.signal == 'signal')]\n",
    "          .groupby(['lasso_param'])\n",
    "          .agg(np.mean)\n",
    "          .drop(columns=['seed', 'fold'])\n",
    "          .rename(columns={'auroc': 'mean_auroc', 'aupr': 'mean_aupr'})\n",
    "          .sort_values(by='mean_aupr', ascending=False)\n",
    "    )\n",
    "    top_df.index = top_df.index.astype(float)\n",
    "    top_df['aupr_rank'] = top_df.mean_aupr.rank(ascending=False)\n",
    "    rank_cutoff = ceil(perf_df.lasso_param.unique().shape[0] * top_proportion)\n",
    "    params_above_cutoff = top_df.loc[top_df.aupr_rank <= rank_cutoff, :].index\n",
    "    \n",
    "    # get parameter with best validation performance\n",
    "    top_lasso_param = params_above_cutoff[0]\n",
    "\n",
    "    # get parameter in top 5 validation performance with least nonzero coefficients\n",
    "    smallest_lasso_param = (\n",
    "        nz_coefs_df[(nz_coefs_df.gene == gene) & \n",
    "                    (nz_coefs_df.lasso_param.isin(params_above_cutoff))]\n",
    "          .groupby(['lasso_param'])\n",
    "          .agg(np.mean)\n",
    "          .drop(columns=['seed', 'fold'])\n",
    "          .sort_values(by='nz_coefs', ascending=True)\n",
    "    ).index[0]\n",
    "    \n",
    "    holdout_df = (\n",
    "        perf_df[(perf_df.gene == gene) &\n",
    "                (perf_df.data_type == 'test') &\n",
    "                (perf_df.signal == 'signal')]\n",
    "          .groupby(['lasso_param'])\n",
    "          .agg(np.mean)\n",
    "          .drop(columns=['seed', 'fold'])\n",
    "          .rename(columns={'auroc': 'mean_auroc', 'aupr': 'mean_aupr'})\n",
    "    )\n",
    "    \n",
    "    top_smallest_diff = (\n",
    "        holdout_df.loc[top_lasso_param, 'mean_aupr'] -\n",
    "        holdout_df.loc[smallest_lasso_param, 'mean_aupr']\n",
    "    )\n",
    "    return [gene, top_lasso_param, smallest_lasso_param, top_smallest_diff]\n",
    "\n",
    "print(get_top_and_smallest_diff('SETD2'))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "8eb390d7-c32d-4aa8-8797-8a22cfa0e62c",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "top         31\n",
      "zero        25\n",
      "smallest    15\n",
      "Name: best, dtype: int64\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>gene</th>\n",
       "      <th>top_lasso_param</th>\n",
       "      <th>smallest_lasso_param</th>\n",
       "      <th>top_smallest_diff</th>\n",
       "      <th>best</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>TP53</td>\n",
       "      <td>0.0316</td>\n",
       "      <td>0.01</td>\n",
       "      <td>0.005650</td>\n",
       "      <td>top</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>KDM5C</td>\n",
       "      <td>10.0000</td>\n",
       "      <td>0.10</td>\n",
       "      <td>0.017687</td>\n",
       "      <td>top</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>RB1</td>\n",
       "      <td>0.0316</td>\n",
       "      <td>0.01</td>\n",
       "      <td>0.020426</td>\n",
       "      <td>top</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>CIC</td>\n",
       "      <td>0.0316</td>\n",
       "      <td>0.01</td>\n",
       "      <td>-0.005459</td>\n",
       "      <td>smallest</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>BRAF</td>\n",
       "      <td>0.1000</td>\n",
       "      <td>0.10</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>zero</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    gene  top_lasso_param  smallest_lasso_param  top_smallest_diff      best\n",
       "0   TP53           0.0316                  0.01           0.005650       top\n",
       "1  KDM5C          10.0000                  0.10           0.017687       top\n",
       "2    RB1           0.0316                  0.01           0.020426       top\n",
       "3    CIC           0.0316                  0.01          -0.005459  smallest\n",
       "4   BRAF           0.1000                  0.10           0.000000      zero"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "all_top_smallest_diff_df = []\n",
    "\n",
    "for gene in perf_df.gene.unique():\n",
    "    all_top_smallest_diff_df.append(get_top_and_smallest_diff(gene))\n",
    "        \n",
    "all_top_smallest_diff_df = pd.DataFrame(\n",
    "    all_top_smallest_diff_df,\n",
    "    columns=['gene', 'top_lasso_param',\n",
    "             'smallest_lasso_param', 'top_smallest_diff']\n",
    ")\n",
    "all_top_smallest_diff_df['best'] = 'top'\n",
    "all_top_smallest_diff_df.loc[\n",
    "    all_top_smallest_diff_df.top_smallest_diff < 0, 'best'\n",
    "] = 'smallest'\n",
    "all_top_smallest_diff_df.loc[\n",
    "    all_top_smallest_diff_df.top_smallest_diff == 0, 'best'\n",
    "] = 'zero'\n",
    "\n",
    "print(all_top_smallest_diff_df.best.value_counts())\n",
    "all_top_smallest_diff_df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "38f600d6-4210-402a-84f8-a428b22bc41b",
   "metadata": {},
   "outputs": [],
   "source": [
    "(all_top_smallest_diff_df\n",
    "  .sort_values(by='top_smallest_diff', ascending=False)\n",
    "  .to_csv(cfg.generalization_data_dir / f'{direction}_best_vs_smallest.tsv', sep='\\t')\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "dce66e21-990b-42a1-82e8-7537d68a5298",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 800x400 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.set({'figure.figsize': (8, 4)})\n",
    "sns.set_style('whitegrid')\n",
    "\n",
    "sns.histplot(\n",
    "    all_top_smallest_diff_df.top_smallest_diff,\n",
    "    binwidth=0.0125, binrange=(-0.2, 0.2)\n",
    ")\n",
    "plt.xlim(-0.2, 0.2)\n",
    "plt.title('Differences between \"best\" and \"smallest good\" LASSO parameter')\n",
    "plt.xlabel('AUPR(best) - AUPR(smallest good)')\n",
    "plt.gca().axvline(0, color='black', linestyle='--')\n",
    "\n",
    "if output_plots:\n",
    "    os.makedirs(output_plots_dir, exist_ok=True)\n",
    "    plt.savefig(os.path.join(output_plots_dir, f'all_{direction}_best_vs_smallest.svg'), bbox_inches='tight')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "806bb5a6-5464-4fe3-930c-f6747be5d596",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 1200x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.set({'figure.figsize': (12, 5)})\n",
    "sns.set_style('whitegrid')\n",
    "\n",
    "with sns.plotting_context('notebook', font_scale=1.5):\n",
    "    sns.histplot(\n",
    "        all_top_smallest_diff_df[all_top_smallest_diff_df.top_smallest_diff != 0.0].top_smallest_diff,\n",
    "        binwidth=0.0125, binrange=(-0.2, 0.2)\n",
    "    )\n",
    "    plt.xlim(-0.2, 0.2)\n",
    "    if direction == 'ccle_tcga':\n",
    "        plt.title('\"Best\" vs. \"smallest good\" LASSO parameter, CCLE -> TCGA, without zeroes', y=1.05)\n",
    "    else:\n",
    "        plt.title('\"Best\" vs. \"smallest good\" LASSO parameter, TCGA -> CCLE, without zeroes', y=1.05)\n",
    "    plt.xlabel('AUPR(best) - AUPR(smallest good)', labelpad=10)\n",
    "    plt.gca().axvline(0, color='black', linestyle='--')\n",
    "    \n",
    "# one \"best\" example and one \"smallest good\" example\n",
    "if direction == 'tcga_ccle':\n",
    "    for plot_gene in ['NF1', 'PIK3CA']:\n",
    "        gene_cancer_diff = all_top_smallest_diff_df[\n",
    "            (all_top_smallest_diff_df.gene == plot_gene)\n",
    "        ].top_smallest_diff.values[0]\n",
    "        plt.gca().axvline(gene_cancer_diff, color='grey', linestyle=':', linewidth=3)\n",
    "        if plot_gene == 'PIK3CA':\n",
    "            plt.gca().text(\n",
    "                gene_cancer_diff-0.036, 7, \n",
    "                f'{plot_gene}',\n",
    "                size=14,\n",
    "                bbox={'facecolor': 'white', 'edgecolor': 'black'}\n",
    "            )\n",
    "        else:\n",
    "            plt.gca().text(\n",
    "                gene_cancer_diff+0.005, 7, \n",
    "                f'{plot_gene}',\n",
    "                size=14,\n",
    "                bbox={'facecolor': 'white', 'edgecolor': 'black'}\n",
    "            )\n",
    "\n",
    "if output_plots:\n",
    "    plt.savefig(os.path.join(output_plots_dir, f'all_{direction}_best_vs_smallest_no_zeroes.svg'), bbox_inches='tight')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "0ada2c71-eb78-4111-8f83-0e928562452c",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>gene</th>\n",
       "      <th>top_lasso_param</th>\n",
       "      <th>smallest_lasso_param</th>\n",
       "      <th>top_smallest_diff</th>\n",
       "      <th>best</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>SMARCA4</td>\n",
       "      <td>10.0000</td>\n",
       "      <td>0.01000</td>\n",
       "      <td>0.190400</td>\n",
       "      <td>top</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38</th>\n",
       "      <td>VHL</td>\n",
       "      <td>0.1000</td>\n",
       "      <td>0.03160</td>\n",
       "      <td>0.113196</td>\n",
       "      <td>top</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>ARID2</td>\n",
       "      <td>10.0000</td>\n",
       "      <td>0.31600</td>\n",
       "      <td>0.073606</td>\n",
       "      <td>top</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>61</th>\n",
       "      <td>NF1</td>\n",
       "      <td>0.0100</td>\n",
       "      <td>0.00316</td>\n",
       "      <td>0.069754</td>\n",
       "      <td>top</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>JAK1</td>\n",
       "      <td>3.1600</td>\n",
       "      <td>0.03160</td>\n",
       "      <td>0.061389</td>\n",
       "      <td>top</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>45</th>\n",
       "      <td>PTEN</td>\n",
       "      <td>0.0316</td>\n",
       "      <td>0.01000</td>\n",
       "      <td>0.059815</td>\n",
       "      <td>top</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>55</th>\n",
       "      <td>ASXL1</td>\n",
       "      <td>3.1600</td>\n",
       "      <td>0.10000</td>\n",
       "      <td>0.050388</td>\n",
       "      <td>top</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>64</th>\n",
       "      <td>SETD2</td>\n",
       "      <td>10.0000</td>\n",
       "      <td>0.10000</td>\n",
       "      <td>0.041455</td>\n",
       "      <td>top</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>AXIN1</td>\n",
       "      <td>1.0000</td>\n",
       "      <td>0.03160</td>\n",
       "      <td>0.039767</td>\n",
       "      <td>top</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35</th>\n",
       "      <td>EGFR</td>\n",
       "      <td>0.0100</td>\n",
       "      <td>0.00316</td>\n",
       "      <td>0.034406</td>\n",
       "      <td>top</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       gene  top_lasso_param  smallest_lasso_param  top_smallest_diff best\n",
       "16  SMARCA4          10.0000               0.01000           0.190400  top\n",
       "38      VHL           0.1000               0.03160           0.113196  top\n",
       "6     ARID2          10.0000               0.31600           0.073606  top\n",
       "61      NF1           0.0100               0.00316           0.069754  top\n",
       "5      JAK1           3.1600               0.03160           0.061389  top\n",
       "45     PTEN           0.0316               0.01000           0.059815  top\n",
       "55    ASXL1           3.1600               0.10000           0.050388  top\n",
       "64    SETD2          10.0000               0.10000           0.041455  top\n",
       "24    AXIN1           1.0000               0.03160           0.039767  top\n",
       "35     EGFR           0.0100               0.00316           0.034406  top"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "all_top_smallest_diff_df.sort_values(by='top_smallest_diff', ascending=False).head(10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "8712a7e7-5a9e-42c9-9d67-6e9133243b29",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>gene</th>\n",
       "      <th>top_lasso_param</th>\n",
       "      <th>smallest_lasso_param</th>\n",
       "      <th>top_smallest_diff</th>\n",
       "      <th>best</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>FLT3</td>\n",
       "      <td>0.3160</td>\n",
       "      <td>0.01000</td>\n",
       "      <td>-0.111254</td>\n",
       "      <td>smallest</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>46</th>\n",
       "      <td>DNMT1</td>\n",
       "      <td>0.0316</td>\n",
       "      <td>0.01000</td>\n",
       "      <td>-0.091949</td>\n",
       "      <td>smallest</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>48</th>\n",
       "      <td>PIK3CA</td>\n",
       "      <td>0.0316</td>\n",
       "      <td>0.01000</td>\n",
       "      <td>-0.046690</td>\n",
       "      <td>smallest</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>62</th>\n",
       "      <td>NFE2L2</td>\n",
       "      <td>0.0316</td>\n",
       "      <td>0.01000</td>\n",
       "      <td>-0.043309</td>\n",
       "      <td>smallest</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>49</th>\n",
       "      <td>NOTCH2</td>\n",
       "      <td>10.0000</td>\n",
       "      <td>3.16000</td>\n",
       "      <td>-0.023723</td>\n",
       "      <td>smallest</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>56</th>\n",
       "      <td>CDH1</td>\n",
       "      <td>0.0316</td>\n",
       "      <td>0.01000</td>\n",
       "      <td>-0.021413</td>\n",
       "      <td>smallest</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>42</th>\n",
       "      <td>GNAS</td>\n",
       "      <td>0.0100</td>\n",
       "      <td>0.00316</td>\n",
       "      <td>-0.019763</td>\n",
       "      <td>smallest</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>NRAS</td>\n",
       "      <td>3.1600</td>\n",
       "      <td>0.10000</td>\n",
       "      <td>-0.017570</td>\n",
       "      <td>smallest</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>47</th>\n",
       "      <td>ABL1</td>\n",
       "      <td>3.1600</td>\n",
       "      <td>0.03160</td>\n",
       "      <td>-0.015530</td>\n",
       "      <td>smallest</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>FOXL2</td>\n",
       "      <td>0.0316</td>\n",
       "      <td>0.01000</td>\n",
       "      <td>-0.010847</td>\n",
       "      <td>smallest</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      gene  top_lasso_param  smallest_lasso_param  top_smallest_diff      best\n",
       "13    FLT3           0.3160               0.01000          -0.111254  smallest\n",
       "46   DNMT1           0.0316               0.01000          -0.091949  smallest\n",
       "48  PIK3CA           0.0316               0.01000          -0.046690  smallest\n",
       "62  NFE2L2           0.0316               0.01000          -0.043309  smallest\n",
       "49  NOTCH2          10.0000               3.16000          -0.023723  smallest\n",
       "56    CDH1           0.0316               0.01000          -0.021413  smallest\n",
       "42    GNAS           0.0100               0.00316          -0.019763  smallest\n",
       "20    NRAS           3.1600               0.10000          -0.017570  smallest\n",
       "47    ABL1           3.1600               0.03160          -0.015530  smallest\n",
       "17   FOXL2           0.0316               0.01000          -0.010847  smallest"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "all_top_smallest_diff_df.sort_values(by='top_smallest_diff', ascending=True).head(10)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "0dce09da-2a2a-427e-9c63-4a898631e56c",
   "metadata": {},
   "source": [
    "### Compare TCGA and CCLE performance for each gene\n",
    "\n",
    "Given the \"best\" LASSO parameter (in terms of validation performance) for each gene, we want to look at relative performance on the TCGA validation set and on the held-out CCLE data.\n",
    "\n",
    "We expect there to be some genes where we can predict mutation status well both within TCGA and on CCLE (both \"cv\" and \"test\" performance are good), some genes where we can predict well on TCGA but we can't transfer our predictions to CCLE (\"cv\" performance is decent/good and \"test\" performance is poor), and some genes where we can't predict well on either set (both \"cv\" and \"test\" performance are poor)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "e661a653-2f6e-4586-8df2-e9229f98ec61",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(12496, 7)\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>auroc</th>\n",
       "      <th>aupr</th>\n",
       "      <th>gene</th>\n",
       "      <th>seed</th>\n",
       "      <th>data_type</th>\n",
       "      <th>fold</th>\n",
       "      <th>lasso_param</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>0.87667</td>\n",
       "      <td>0.84512</td>\n",
       "      <td>TP53</td>\n",
       "      <td>1</td>\n",
       "      <td>cv</td>\n",
       "      <td>0</td>\n",
       "      <td>3.160000e-03</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>0.88228</td>\n",
       "      <td>0.84663</td>\n",
       "      <td>TP53</td>\n",
       "      <td>1</td>\n",
       "      <td>cv</td>\n",
       "      <td>1</td>\n",
       "      <td>3.160000e-03</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>0.86960</td>\n",
       "      <td>0.81941</td>\n",
       "      <td>TP53</td>\n",
       "      <td>1</td>\n",
       "      <td>cv</td>\n",
       "      <td>2</td>\n",
       "      <td>3.160000e-03</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>0.88436</td>\n",
       "      <td>0.84572</td>\n",
       "      <td>TP53</td>\n",
       "      <td>1</td>\n",
       "      <td>cv</td>\n",
       "      <td>3</td>\n",
       "      <td>3.160000e-03</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>0.90111</td>\n",
       "      <td>0.85239</td>\n",
       "      <td>TP53</td>\n",
       "      <td>42</td>\n",
       "      <td>cv</td>\n",
       "      <td>0</td>\n",
       "      <td>3.160000e+06</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      auroc     aupr  gene  seed data_type  fold   lasso_param\n",
       "2   0.87667  0.84512  TP53     1        cv     0  3.160000e-03\n",
       "5   0.88228  0.84663  TP53     1        cv     1  3.160000e-03\n",
       "8   0.86960  0.81941  TP53     1        cv     2  3.160000e-03\n",
       "11  0.88436  0.84572  TP53     1        cv     3  3.160000e-03\n",
       "2   0.90111  0.85239  TP53    42        cv     0  3.160000e+06"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "cv_perf_df = (\n",
    "    perf_df[(perf_df.data_type == 'cv') &\n",
    "            (perf_df.signal == 'signal')]\n",
    "      .drop(columns=['experiment', 'signal'])\n",
    ").copy()\n",
    "cv_perf_df.lasso_param = cv_perf_df.lasso_param.astype(float)\n",
    "\n",
    "print(cv_perf_df.shape)\n",
    "cv_perf_df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "602a15a5-74e6-456d-902a-e7e38be333cc",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(12496, 7)\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>auroc</th>\n",
       "      <th>aupr</th>\n",
       "      <th>gene</th>\n",
       "      <th>seed</th>\n",
       "      <th>data_type</th>\n",
       "      <th>fold</th>\n",
       "      <th>lasso_param</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>0.84879</td>\n",
       "      <td>0.90083</td>\n",
       "      <td>TP53</td>\n",
       "      <td>1</td>\n",
       "      <td>test</td>\n",
       "      <td>0</td>\n",
       "      <td>3.160000e-03</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>0.85497</td>\n",
       "      <td>0.90186</td>\n",
       "      <td>TP53</td>\n",
       "      <td>1</td>\n",
       "      <td>test</td>\n",
       "      <td>1</td>\n",
       "      <td>3.160000e-03</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>0.85000</td>\n",
       "      <td>0.89947</td>\n",
       "      <td>TP53</td>\n",
       "      <td>1</td>\n",
       "      <td>test</td>\n",
       "      <td>2</td>\n",
       "      <td>3.160000e-03</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>0.85094</td>\n",
       "      <td>0.90102</td>\n",
       "      <td>TP53</td>\n",
       "      <td>1</td>\n",
       "      <td>test</td>\n",
       "      <td>3</td>\n",
       "      <td>3.160000e-03</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>0.86370</td>\n",
       "      <td>0.92501</td>\n",
       "      <td>TP53</td>\n",
       "      <td>42</td>\n",
       "      <td>test</td>\n",
       "      <td>0</td>\n",
       "      <td>3.160000e+06</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      auroc     aupr  gene  seed data_type  fold   lasso_param\n",
       "1   0.84879  0.90083  TP53     1      test     0  3.160000e-03\n",
       "4   0.85497  0.90186  TP53     1      test     1  3.160000e-03\n",
       "7   0.85000  0.89947  TP53     1      test     2  3.160000e-03\n",
       "10  0.85094  0.90102  TP53     1      test     3  3.160000e-03\n",
       "1   0.86370  0.92501  TP53    42      test     0  3.160000e+06"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "test_perf_df = (\n",
    "    perf_df[(perf_df.data_type == 'test') &\n",
    "            (perf_df.signal == 'signal')]\n",
    "      .drop(columns=['experiment', 'signal'])\n",
    ").copy()\n",
    "test_perf_df.lasso_param = test_perf_df.lasso_param.astype(float)\n",
    "\n",
    "print(test_perf_df.shape)\n",
    "test_perf_df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "549749b3-4e06-46c2-b090-be65c28f0780",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(568, 12)\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>gene</th>\n",
       "      <th>top_lasso_param</th>\n",
       "      <th>cv_auroc</th>\n",
       "      <th>cv_aupr</th>\n",
       "      <th>seed</th>\n",
       "      <th>data_type_x</th>\n",
       "      <th>fold</th>\n",
       "      <th>test_auroc</th>\n",
       "      <th>test_aupr</th>\n",
       "      <th>data_type_y</th>\n",
       "      <th>cv_test_auroc_diff</th>\n",
       "      <th>cv_test_aupr_diff</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>312</th>\n",
       "      <td>IDH1</td>\n",
       "      <td>31.6</td>\n",
       "      <td>0.99194</td>\n",
       "      <td>0.99798</td>\n",
       "      <td>42</td>\n",
       "      <td>cv</td>\n",
       "      <td>0</td>\n",
       "      <td>0.30460</td>\n",
       "      <td>0.14271</td>\n",
       "      <td>test</td>\n",
       "      <td>0.68734</td>\n",
       "      <td>0.85527</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>316</th>\n",
       "      <td>IDH1</td>\n",
       "      <td>31.6</td>\n",
       "      <td>0.96034</td>\n",
       "      <td>0.98913</td>\n",
       "      <td>1</td>\n",
       "      <td>cv</td>\n",
       "      <td>0</td>\n",
       "      <td>0.33908</td>\n",
       "      <td>0.14482</td>\n",
       "      <td>test</td>\n",
       "      <td>0.62126</td>\n",
       "      <td>0.84431</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>317</th>\n",
       "      <td>IDH1</td>\n",
       "      <td>31.6</td>\n",
       "      <td>0.94221</td>\n",
       "      <td>0.98251</td>\n",
       "      <td>1</td>\n",
       "      <td>cv</td>\n",
       "      <td>1</td>\n",
       "      <td>0.36207</td>\n",
       "      <td>0.15051</td>\n",
       "      <td>test</td>\n",
       "      <td>0.58014</td>\n",
       "      <td>0.83200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>319</th>\n",
       "      <td>IDH1</td>\n",
       "      <td>31.6</td>\n",
       "      <td>0.94510</td>\n",
       "      <td>0.98394</td>\n",
       "      <td>1</td>\n",
       "      <td>cv</td>\n",
       "      <td>3</td>\n",
       "      <td>0.37931</td>\n",
       "      <td>0.15472</td>\n",
       "      <td>test</td>\n",
       "      <td>0.56579</td>\n",
       "      <td>0.82922</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>318</th>\n",
       "      <td>IDH1</td>\n",
       "      <td>31.6</td>\n",
       "      <td>0.94169</td>\n",
       "      <td>0.97235</td>\n",
       "      <td>1</td>\n",
       "      <td>cv</td>\n",
       "      <td>2</td>\n",
       "      <td>0.35632</td>\n",
       "      <td>0.15106</td>\n",
       "      <td>test</td>\n",
       "      <td>0.58537</td>\n",
       "      <td>0.82129</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     gene  top_lasso_param  cv_auroc  cv_aupr  seed data_type_x  fold  \\\n",
       "312  IDH1             31.6   0.99194  0.99798    42          cv     0   \n",
       "316  IDH1             31.6   0.96034  0.98913     1          cv     0   \n",
       "317  IDH1             31.6   0.94221  0.98251     1          cv     1   \n",
       "319  IDH1             31.6   0.94510  0.98394     1          cv     3   \n",
       "318  IDH1             31.6   0.94169  0.97235     1          cv     2   \n",
       "\n",
       "     test_auroc  test_aupr data_type_y  cv_test_auroc_diff  cv_test_aupr_diff  \n",
       "312     0.30460    0.14271        test             0.68734            0.85527  \n",
       "316     0.33908    0.14482        test             0.62126            0.84431  \n",
       "317     0.36207    0.15051        test             0.58014            0.83200  \n",
       "319     0.37931    0.15472        test             0.56579            0.82922  \n",
       "318     0.35632    0.15106        test             0.58537            0.82129  "
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# get performance using \"best\" lasso parameter, across all seeds and folds\n",
    "# (so we can plot the distribution/visualize the variance across CV splits)\n",
    "best_perf_df = (\n",
    "    all_top_smallest_diff_df.loc[:, ['gene', 'top_lasso_param']]\n",
    "      .merge(cv_perf_df,\n",
    "             left_on=['gene', 'top_lasso_param'],\n",
    "             right_on=['gene', 'lasso_param'])\n",
    "      .drop(columns=['lasso_param'])\n",
    "      .rename(columns={'auroc': 'cv_auroc',\n",
    "                       'aupr': 'cv_aupr'})\n",
    "      .merge(test_perf_df,\n",
    "             left_on=['gene', 'top_lasso_param', 'seed', 'fold'],\n",
    "             right_on=['gene', 'lasso_param', 'seed', 'fold'])\n",
    "      .drop(columns=['lasso_param'])\n",
    "      .rename(columns={'auroc': 'test_auroc',\n",
    "                       'aupr': 'test_aupr'})\n",
    ")\n",
    "best_perf_df['cv_test_auroc_diff'] = (\n",
    "    best_perf_df.cv_auroc - best_perf_df.test_auroc\n",
    ")\n",
    "best_perf_df['cv_test_aupr_diff'] = (\n",
    "    best_perf_df.cv_aupr - best_perf_df.test_aupr\n",
    ")\n",
    "\n",
    "print(best_perf_df.shape)\n",
    "best_perf_df.sort_values(by='cv_test_aupr_diff', ascending=False).head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "fc46f262-b4f7-4e07-8eeb-03b91f14a463",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>gene</th>\n",
       "      <th>top_lasso_param</th>\n",
       "      <th>seed</th>\n",
       "      <th>fold</th>\n",
       "      <th>dataset_metric</th>\n",
       "      <th>value</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>TP53</td>\n",
       "      <td>0.0316</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>cv_aupr</td>\n",
       "      <td>0.90752</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>TP53</td>\n",
       "      <td>0.0316</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>cv_aupr</td>\n",
       "      <td>0.89445</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>TP53</td>\n",
       "      <td>0.0316</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>cv_aupr</td>\n",
       "      <td>0.89437</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>TP53</td>\n",
       "      <td>0.0316</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>cv_aupr</td>\n",
       "      <td>0.90224</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>TP53</td>\n",
       "      <td>0.0316</td>\n",
       "      <td>42</td>\n",
       "      <td>0</td>\n",
       "      <td>cv_aupr</td>\n",
       "      <td>0.89310</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   gene  top_lasso_param  seed  fold dataset_metric    value\n",
       "0  TP53           0.0316     1     0        cv_aupr  0.90752\n",
       "1  TP53           0.0316     1     1        cv_aupr  0.89445\n",
       "2  TP53           0.0316     1     2        cv_aupr  0.89437\n",
       "3  TP53           0.0316     1     3        cv_aupr  0.90224\n",
       "4  TP53           0.0316    42     0        cv_aupr  0.89310"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "plot_df = (best_perf_df\n",
    "    .drop(columns=['cv_test_auroc_diff', 'cv_test_aupr_diff', 'cv_auroc', 'test_auroc'])\n",
    "    .melt(id_vars=['gene', 'top_lasso_param', 'seed', 'fold'],\n",
    "          value_vars=['cv_aupr', 'test_aupr'],\n",
    "          var_name=['dataset_metric'])\n",
    ")\n",
    "plot_df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "06f6b3c2-7413-489b-ace6-7007f263cd44",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 2800x1000 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# plot cv/test performance distribution for each gene\n",
    "sns.set({'figure.figsize': (28, 10)})\n",
    "sns.set_style('ticks')\n",
    "\n",
    "fig, axarr = plt.subplots(2, 1)\n",
    "\n",
    "# order boxes by cv performance per gene\n",
    "cv_gene_order = (plot_df[plot_df.dataset_metric == 'cv_aupr']\n",
    "    .groupby(['gene', 'top_lasso_param'])\n",
    "    .agg(np.median)\n",
    "    .sort_values(by='value', ascending=False)\n",
    ").index.get_level_values(0).values\n",
    "\n",
    "# order boxes by test performance per gene\n",
    "test_gene_order = (plot_df[plot_df.dataset_metric == 'test_aupr']\n",
    "    .groupby(['gene', 'top_lasso_param'])\n",
    "    .agg(np.median)\n",
    "    .sort_values(by='value', ascending=False)\n",
    ").index.get_level_values(0).values\n",
    "\n",
    "with sns.plotting_context('notebook', font_scale=1.5):\n",
    "    sns.boxplot(data=plot_df, order=cv_gene_order,\n",
    "                x='gene', y='value', hue='dataset_metric', ax=axarr[0])\n",
    "    axarr[0].axhline(0.0, linestyle='--', color='grey')\n",
    "    axarr[0].tick_params(axis='x', rotation=90, labelsize=16)\n",
    "    axarr[0].tick_params(axis='y', labelsize=16)\n",
    "    axarr[0].set_xlabel('Gene (sorted by validation set performance)', size=18)\n",
    "    axarr[0].set_ylabel('AUPR', size=18)\n",
    "    \n",
    "    sns.boxplot(data=plot_df, order=test_gene_order,\n",
    "                x='gene', y='value', hue='dataset_metric', ax=axarr[1])\n",
    "    axarr[1].legend([], [], frameon=False)\n",
    "    axarr[1].axhline(0.0, linestyle='--', color='grey')\n",
    "    axarr[1].tick_params(axis='x', rotation=90, labelsize=16)\n",
    "    axarr[1].tick_params(axis='y', labelsize=16)\n",
    "    axarr[1].set_xlabel('Gene (sorted by test set performance)', size=18)\n",
    "    axarr[1].set_ylabel('AUPR', size=18)\n",
    "    \n",
    "    plt.suptitle(f'Mutation prediction performance on validation/test sets, by gene', y=1.0025)\n",
    "    \n",
    "plt.tight_layout()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "bffd1bf5-771f-4b31-a403-31d682fb6a42",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 2800x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# plot difference in validation and test performance for each gene\n",
    "sns.set({'figure.figsize': (28, 6)})\n",
    "sns.set_style('ticks')\n",
    "\n",
    "# order boxes by median (cv - test) diff per gene\n",
    "# order boxes by median (cv - test) diff per gene\n",
    "medians = (best_perf_df\n",
    "    .groupby(['gene', 'top_lasso_param'])\n",
    "    .agg(np.median)\n",
    "    .sort_values(by='cv_test_aupr_diff', ascending=False)\n",
    ")['cv_test_aupr_diff'].values\n",
    "\n",
    "gene_order = (best_perf_df\n",
    "    .groupby(['gene', 'top_lasso_param'])\n",
    "    .agg(np.median)\n",
    "    .sort_values(by='cv_test_aupr_diff', ascending=False)\n",
    ").index.get_level_values(0).values\n",
    "\n",
    "with sns.plotting_context('notebook', font_scale=1.5):\n",
    "    # map median performance values to colors on scale centered at 0\n",
    "    cmap = sns.color_palette('coolwarm', as_cmap=True)\n",
    "    norm = Normalize(vmin=-0.8, vmax=0.8)\n",
    "    ax = sns.boxplot(data=best_perf_df, order=gene_order,\n",
    "                     x='gene', y='cv_test_aupr_diff',\n",
    "                     palette=[cmap(norm(m)) for m in medians])\n",
    "    ax.axhline(0.0, linestyle='--', color='black')\n",
    "    plt.xticks(rotation=90)\n",
    "    plt.xlabel('Gene')\n",
    "    \n",
    "    if direction == 'ccle_tcga':\n",
    "        plt.title(f'Difference between CCLE and TCGA mutation prediction performance, by gene', y=1.02)\n",
    "        plt.ylabel('AUPR(CCLE) - AUPR(TCGA)')\n",
    "    else:\n",
    "        plt.title(f'Difference between TCGA and CCLE mutation prediction performance, by gene', y=1.02)\n",
    "        plt.ylabel('AUPR(TCGA) - AUPR(CCLE)')\n",
    "        \n",
    "if output_plots:\n",
    "    plt.savefig(os.path.join(output_plots_dir, f'all_{direction}_gene_boxes.svg'), bbox_inches='tight')"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python [conda env:pc2]",
   "language": "python",
   "name": "conda-env-pc2-py"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.9.15"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}