GLM_analyte_flipping_between_samples_analysis.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 54,
   "id": "56d7d150",
   "metadata": {},
   "outputs": [],
   "source": [
    "import os\n",
    "from paths import *\n",
    "import pandas as pd\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 139,
   "id": "d5e81fd2",
   "metadata": {},
   "outputs": [],
   "source": [
    "compound_type = \"global\"\n",
    "sheet_index = 2\n",
    "\n",
    "sheet_name_list = [\"Without outlier\", \"Without outlier-MS treated\", \"Without outlier-MS not treated\",\n",
    "                  \"With outlier\", \"With outlier-MStreated\", \"With outlier-MS not treated\"]\n",
    "GLM_out_feces = pd.read_excel(os.path.join(OUTPUT_PATH, 'GLM_result_{}_compounds_feces_sample.xlsx'.format(compound_type)), engine='openpyxl', sheet_name=sheet_name_list[sheet_index])\n",
    "GLM_out_serum = pd.read_excel(os.path.join(OUTPUT_PATH, 'GLM_result_{}_compounds_serum_sample.xlsx'.format(compound_type)), engine='openpyxl', sheet_name=sheet_name_list[sheet_index])\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 140,
   "id": "dc07192d",
   "metadata": {},
   "outputs": [],
   "source": [
    "GLM_out_feces_significant = GLM_out_feces[(GLM_out_feces.pvalue < 0.05) & (GLM_out_feces.model_converged_flag==1)]\n",
    "GLM_out_serum_significant = GLM_out_serum[(GLM_out_serum.pvalue < 0.05) & (GLM_out_serum.model_converged_flag==1)]\n",
    "GLM_out_feces_serum_significant = pd.merge(GLM_out_feces_significant, GLM_out_serum_significant, on=\"analyte_name\")[[\"analyte_name\", \"disease_coeff_x\", \"disease_coeff_y\"]]\n",
    "GLM_out_feces_serum_significant.rename(columns={\"disease_coeff_x\":\"disease_coeff_feces\", \"disease_coeff_y\":\"disease_coeff_serum\"}, inplace=True)\n",
    "GLM_out_feces_serum_significant[\"disease_coeff_ratio\"] = np.divide(GLM_out_feces_serum_significant.disease_coeff_feces, GLM_out_feces_serum_significant.disease_coeff_serum)\n",
    "GLM_out_feces_serum_significant_flipped = GLM_out_feces_serum_significant[GLM_out_feces_serum_significant[\"disease_coeff_ratio\"]<0]\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 141,
   "id": "d2b959fe",
   "metadata": {},
   "outputs": [],
   "source": [
    "GLM_out_feces_serum_significant_flipped[(GLM_out_feces_serum_significant_flipped[\"disease_coeff_feces\"] < 0) & (GLM_out_feces_serum_significant_flipped[\"disease_coeff_serum\"] > 0)].shape\n",
    "sorted_df = GLM_out_feces_serum_significant_flipped.sort_values(by='disease_coeff_ratio', ascending=False)\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 142,
   "id": "efb6bcd9",
   "metadata": {},
   "outputs": [
    {
     "data": {
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\n",
      "text/plain": [
       "<Figure size 288x1224 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Saving the figure ...\n"
     ]
    }
   ],
   "source": [
    "FIG_SIZE = (4, 17)\n",
    "FONTSIZE = 13\n",
    "LABELSIZE = 15\n",
    "\n",
    "filename_suffix_list = [\"combined_population\", \"ms_treated_population\", \"ms_not_treated_population\"]\n",
    "\n",
    "fig, ax = plt.subplots(figsize=FIG_SIZE)\n",
    "plt.barh(sorted_df[\"analyte_name\"], sorted_df[\"disease_coeff_ratio\"])\n",
    "plt.xticks(fontsize=FONTSIZE)\n",
    "plt.yticks(fontsize=FONTSIZE)\n",
    "plt.xlabel('Feces/Serum Ratio', fontsize=LABELSIZE)\n",
    "# plt.ylabel('Analyte name', fontsize=LABELSIZE)\n",
    "plt.show()\n",
    "\n",
    "print('Saving the figure ...')\n",
    "fig_filename = os.path.join(OUTPUT_PATH, \"figures\", \"compound_flip_ratio_between_samples_for_{}_compounds_for_{}.svg\".format(compound_type, filename_suffix_list[sheet_index]))\n",
    "fig.savefig(fig_filename, format='svg', bbox_inches='tight')\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 61,
   "id": "de2bec01",
   "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>analyte_name</th>\n",
       "      <th>disease_coeff_feces</th>\n",
       "      <th>disease_coeff_serum</th>\n",
       "      <th>disease_coeff_ratio</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>118</th>\n",
       "      <td>3-(3-hydroxyphenyl)propionate sulfate</td>\n",
       "      <td>0.051213</td>\n",
       "      <td>-0.159866</td>\n",
       "      <td>-0.320351</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>86</th>\n",
       "      <td>p-cresol sulfate</td>\n",
       "      <td>-0.134887</td>\n",
       "      <td>0.186801</td>\n",
       "      <td>-0.722088</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>palmitoleate (16:1n7)</td>\n",
       "      <td>-0.098889</td>\n",
       "      <td>0.123773</td>\n",
       "      <td>-0.798955</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>124</th>\n",
       "      <td>phenylacetylglutamate</td>\n",
       "      <td>-0.157475</td>\n",
       "      <td>0.184263</td>\n",
       "      <td>-0.854622</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>138</th>\n",
       "      <td>deoxycholic acid 12-sulfate*</td>\n",
       "      <td>-0.184735</td>\n",
       "      <td>0.187066</td>\n",
       "      <td>-0.987539</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>133</th>\n",
       "      <td>N-acetyl-isoputreanine</td>\n",
       "      <td>-0.372156</td>\n",
       "      <td>0.051740</td>\n",
       "      <td>-7.192871</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>148</th>\n",
       "      <td>1-oleoyl-GPC (18:1)</td>\n",
       "      <td>-0.373762</td>\n",
       "      <td>0.049284</td>\n",
       "      <td>-7.583915</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>143</th>\n",
       "      <td>glycerophosphorylcholine (GPC)</td>\n",
       "      <td>-0.302264</td>\n",
       "      <td>0.031901</td>\n",
       "      <td>-9.475210</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>taurine</td>\n",
       "      <td>-0.391954</td>\n",
       "      <td>0.037183</td>\n",
       "      <td>-10.541252</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>123</th>\n",
       "      <td>lactosyl-N-palmitoyl-sphingosine (d18:1/16:0)</td>\n",
       "      <td>-0.441391</td>\n",
       "      <td>0.040558</td>\n",
       "      <td>-10.882979</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>61 rows × 4 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                                      analyte_name  disease_coeff_feces  \\\n",
       "118          3-(3-hydroxyphenyl)propionate sulfate             0.051213   \n",
       "86                                p-cresol sulfate            -0.134887   \n",
       "16                           palmitoleate (16:1n7)            -0.098889   \n",
       "124                          phenylacetylglutamate            -0.157475   \n",
       "138                   deoxycholic acid 12-sulfate*            -0.184735   \n",
       "..                                             ...                  ...   \n",
       "133                         N-acetyl-isoputreanine            -0.372156   \n",
       "148                            1-oleoyl-GPC (18:1)            -0.373762   \n",
       "143                 glycerophosphorylcholine (GPC)            -0.302264   \n",
       "19                                         taurine            -0.391954   \n",
       "123  lactosyl-N-palmitoyl-sphingosine (d18:1/16:0)            -0.441391   \n",
       "\n",
       "     disease_coeff_serum  disease_coeff_ratio  \n",
       "118            -0.159866            -0.320351  \n",
       "86              0.186801            -0.722088  \n",
       "16              0.123773            -0.798955  \n",
       "124             0.184263            -0.854622  \n",
       "138             0.187066            -0.987539  \n",
       "..                   ...                  ...  \n",
       "133             0.051740            -7.192871  \n",
       "148             0.049284            -7.583915  \n",
       "143             0.031901            -9.475210  \n",
       "19              0.037183           -10.541252  \n",
       "123             0.040558           -10.882979  \n",
       "\n",
       "[61 rows x 4 columns]"
      ]
     },
     "execution_count": 61,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sorted_df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "0b59d3fe",
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