Figure_2.ipynb

{
 "cells": [
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   "execution_count": null,
   "id": "2de7214f-628c-467a-afca-cfce4a332ea8",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Figure 2, Synthesis manuscript"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "ed6d02fa-de6b-4439-90d9-123200e7d327",
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import glob as glob\n",
    "import seaborn as sns\n",
    "from matplotlib.pyplot import figure\n",
    "import matplotlib.pyplot as plt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "de53fe14-0c6e-41ad-b039-efafc8ad7ae6",
   "metadata": {},
   "outputs": [],
   "source": [
    "tcga_colors = pd.read_csv(\n",
    "    'tcga_colors.tsv',\n",
    "    sep = '\\t', index_col = 0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "434453ac-fb03-42a9-8659-0362fe9cafba",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
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       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>cohort_color</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>tcga_cohorts</th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>ACC</th>\n",
       "      <td>#C1A72F</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>BLCA</th>\n",
       "      <td>#FAD2D9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>BRCA</th>\n",
       "      <td>#ED2891</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>CESC</th>\n",
       "      <td>#F6B667</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>COADREAD</th>\n",
       "      <td>#9EDDF9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ESCC</th>\n",
       "      <td>#007EB5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GEA</th>\n",
       "      <td>#909485</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>HNSC</th>\n",
       "      <td>#97D1A9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>KIRCKICH</th>\n",
       "      <td>#F8AFB3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>KIRP</th>\n",
       "      <td>#EA7075</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>LIHCCHOL</th>\n",
       "      <td>#CACCDB</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>LUAD</th>\n",
       "      <td>#D3C3E0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>LUSC</th>\n",
       "      <td>#A084BD</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>MESO</th>\n",
       "      <td>#542C88</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>OV</th>\n",
       "      <td>#D97D25</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>PAAD</th>\n",
       "      <td>#6E7BA2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>PCPG</th>\n",
       "      <td>#E8C51D</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>PRAD</th>\n",
       "      <td>#7E1918</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SARC</th>\n",
       "      <td>#00A99D</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SKCM</th>\n",
       "      <td>#BBD642</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>TGCT</th>\n",
       "      <td>#BE1E2D</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>THCA</th>\n",
       "      <td>#F9ED32</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>THYM</th>\n",
       "      <td>#CEAC8F</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>UCEC</th>\n",
       "      <td>#FBE3C7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>UVM</th>\n",
       "      <td>#009444</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "             cohort_color\n",
       "tcga_cohorts             \n",
       "ACC               #C1A72F\n",
       "BLCA              #FAD2D9\n",
       "BRCA              #ED2891\n",
       "CESC              #F6B667\n",
       "COADREAD          #9EDDF9\n",
       "ESCC              #007EB5\n",
       "GEA               #909485\n",
       "HNSC              #97D1A9\n",
       "KIRCKICH          #F8AFB3\n",
       "KIRP              #EA7075\n",
       "LIHCCHOL          #CACCDB\n",
       "LUAD              #D3C3E0\n",
       "LUSC              #A084BD\n",
       "MESO              #542C88\n",
       "OV                #D97D25\n",
       "PAAD              #6E7BA2\n",
       "PCPG              #E8C51D\n",
       "PRAD              #7E1918\n",
       "SARC              #00A99D\n",
       "SKCM              #BBD642\n",
       "TGCT              #BE1E2D\n",
       "THCA              #F9ED32\n",
       "THYM              #CEAC8F\n",
       "UCEC              #FBE3C7\n",
       "UVM               #009444"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "tcga_colors"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "5ceb1661-8c4d-4398-8ce2-5938ee5151a4",
   "metadata": {},
   "outputs": [],
   "source": [
    "delta_accuracy = pd.read_csv(\n",
    "    'delta_accuracy.tsv',\n",
    "    sep = '\\t', index_col = 0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "25fdb2b8-1520-46da-88da-dbdfc7e0769d",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Difference in accuracy from original</th>\n",
       "      <th>phase</th>\n",
       "      <th>Cohort</th>\n",
       "      <th>Method</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0.005556</td>\n",
       "      <td>Mixed</td>\n",
       "      <td>ACC</td>\n",
       "      <td>RNLVS sigma=1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>-0.027778</td>\n",
       "      <td>Mixed</td>\n",
       "      <td>ACC</td>\n",
       "      <td>RNLVS sigma=1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>0.033333</td>\n",
       "      <td>Mixed</td>\n",
       "      <td>ACC</td>\n",
       "      <td>RNLVS sigma=1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>0.027778</td>\n",
       "      <td>Mixed</td>\n",
       "      <td>ACC</td>\n",
       "      <td>RNLVS sigma=1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>0.038889</td>\n",
       "      <td>Mixed</td>\n",
       "      <td>ACC</td>\n",
       "      <td>RNLVS sigma=1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>0.011765</td>\n",
       "      <td>Mixed</td>\n",
       "      <td>UVM</td>\n",
       "      <td>HLVS n=2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>0.017647</td>\n",
       "      <td>Mixed</td>\n",
       "      <td>UVM</td>\n",
       "      <td>HLVS n=2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>0.032353</td>\n",
       "      <td>Mixed</td>\n",
       "      <td>UVM</td>\n",
       "      <td>HLVS n=2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>-0.011765</td>\n",
       "      <td>Mixed</td>\n",
       "      <td>UVM</td>\n",
       "      <td>HLVS n=2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>0.005882</td>\n",
       "      <td>Mixed</td>\n",
       "      <td>UVM</td>\n",
       "      <td>HLVS n=2</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>2498 rows × 4 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "    Difference in accuracy from original  phase Cohort         Method\n",
       "0                               0.005556  Mixed    ACC  RNLVS sigma=1\n",
       "1                              -0.027778  Mixed    ACC  RNLVS sigma=1\n",
       "2                               0.033333  Mixed    ACC  RNLVS sigma=1\n",
       "3                               0.027778  Mixed    ACC  RNLVS sigma=1\n",
       "4                               0.038889  Mixed    ACC  RNLVS sigma=1\n",
       "..                                   ...    ...    ...            ...\n",
       "20                              0.011765  Mixed    UVM       HLVS n=2\n",
       "21                              0.017647  Mixed    UVM       HLVS n=2\n",
       "22                              0.032353  Mixed    UVM       HLVS n=2\n",
       "23                             -0.011765  Mixed    UVM       HLVS n=2\n",
       "24                              0.005882  Mixed    UVM       HLVS n=2\n",
       "\n",
       "[2498 rows x 4 columns]"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "delta_accuracy"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "15bdffef-6c35-4f7c-9930-7a77ed2d3b91",
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    {
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",
      "text/plain": [
       "<Figure size 1150x800 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "c_lst = delta_accuracy.Cohort.unique()\n",
    "figure(figsize=(11.5, 8))\n",
    "pal = {'RNLVS sigma=1': '#8088e5',\n",
    "          'RNLVS sigma=2': '#303dd5',\n",
    "          'HLVS n=3': '#dc5656',\n",
    "          'HLVS n=2': '#a92323'}\n",
    "ax = sns.barplot(x='Cohort', y='Difference in accuracy from original',\n",
    "            hue='Method',\n",
    "                 palette=pal,\n",
    "            data=delta_accuracy, linewidth = .5, errorbar = 'sd', errwidth = .5, capsize = .22)\n",
    "ax.set_xticklabels(ax.get_xticklabels(),rotation=-55,\n",
    "                   ha='left', rotation_mode='anchor')\n",
    "ax.set_title('Accuracy improvement of mixed from original, RNLVS vs HLVS methods',\n",
    "            fontsize = 16)\n",
    "\n",
    "for x in list(range(0,25)):\n",
    "    c = c_lst[x]\n",
    "\n",
    "    plt.vlines(x = x, ymin = -.045, ymax = .14,\n",
    "           colors = tcga_colors.loc[c,'cohort_color'],\n",
    "               alpha = .08, linewidth = 14)\n",
    "\n",
    "ax.set_xlim(-0.8, len(exp_frm_read_tst['Cohort'].unique()) - 0.2)\n",
    "ax.set_ylim(top=.14,bottom = -.045) \n",
    "ax.get_figure().savefig(\n",
    "    'Figure_2.pdf', dpi = 300, bbox_inches = 'tight',\n",
    "                       transparent = True)"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.10.8"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}