notebooks/sepsis_metadata_results.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import seaborn as sns\n",
    "import matplotlib.pyplot as plt\n",
    "import numpy as np"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "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>Cohort</th>\n",
       "      <th>Number reported on OP</th>\n",
       "      <th>Number reported on PR</th>\n",
       "      <th>Total number reported</th>\n",
       "      <th>Total Metadata</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>E-MEXP-3567</td>\n",
       "      <td>7</td>\n",
       "      <td>5</td>\n",
       "      <td>12</td>\n",
       "      <td>66.66</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>E-MEXP-3850</td>\n",
       "      <td>8</td>\n",
       "      <td>5</td>\n",
       "      <td>13</td>\n",
       "      <td>72.22</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>E-MTAB-1548</td>\n",
       "      <td>8</td>\n",
       "      <td>6</td>\n",
       "      <td>14</td>\n",
       "      <td>77.77</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>GSE10474</td>\n",
       "      <td>9</td>\n",
       "      <td>3</td>\n",
       "      <td>12</td>\n",
       "      <td>66.66</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>GSE13015</td>\n",
       "      <td>7</td>\n",
       "      <td>6</td>\n",
       "      <td>13</td>\n",
       "      <td>72.22</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "        Cohort  Number reported on OP  Number reported on PR  \\\n",
       "0  E-MEXP-3567                      7                      5   \n",
       "1  E-MEXP-3850                      8                      5   \n",
       "2  E-MTAB-1548                      8                      6   \n",
       "3     GSE10474                      9                      3   \n",
       "4     GSE13015                      7                      6   \n",
       "\n",
       "   Total number reported  Total Metadata  \n",
       "0                     12           66.66  \n",
       "1                     13           72.22  \n",
       "2                     14           77.77  \n",
       "3                     12           66.66  \n",
       "4                     13           72.22  "
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df=pd.read_csv('sepsis_completeness.csv')\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "OP: Original Publication ; PR: Public Repository"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = plt.figure()\n",
    "ax = fig.add_axes([0,0,1,1])\n",
    "Cohorts = ['E-MEXP-3567','E-MEXP-3850','E-MTAB-1548','GSE10474','GSE13015','GSE27131','GSE32707','GSE40586','GSE63042','GSE66099','GSE66890','GSE21802','GSE33341','GSE54514','GSE63990','E-MTAB-4421','GSE110487','GSE65682','GSE4607','GSE8121','GSE9960','GSE13904','GSE25504','GSE26378','GSE28750','GSE64457','GSE74224','GSE95233','GSE63311']\n",
    "Total_Metadata = [66.66, 72.22, 77.77, 66.66, 72.22, 55.55, 66.66, 55.55, 61.11, 38.88, 72.22, 66.66, 72.22, 83.33, 55.55, 72.22, 55.55, 77.77, 77.77, 66.66, 61.11, 66.66, 72.22, 66.66, 55.55, 55.55, 61.11, 66.66, 38.88] \n",
    "ax.bar(Cohorts,Total_Metadata, color='DarkCyan')\n",
    "ax.set_xlabel('Cohorts')\n",
    "ax.set_ylabel('Total Metadata')\n",
    "axes = plt.gca()\n",
    "axes.set_ylim([0,100])\n",
    "plt.xticks(rotation = 90)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The percentage of reported clinical phenotypes varied from **83.3%** for the most complete study to **38.9%** for the least."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "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>Clinical Phenotype</th>\n",
       "      <th>Number reported on OP</th>\n",
       "      <th>Number reported on PR</th>\n",
       "      <th>Total number reported</th>\n",
       "      <th>Total Metadata</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Disease condition</td>\n",
       "      <td>29</td>\n",
       "      <td>24</td>\n",
       "      <td>53</td>\n",
       "      <td>91.37</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Age</td>\n",
       "      <td>26</td>\n",
       "      <td>12</td>\n",
       "      <td>38</td>\n",
       "      <td>65.51</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Organism</td>\n",
       "      <td>29</td>\n",
       "      <td>29</td>\n",
       "      <td>58</td>\n",
       "      <td>100.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Sex</td>\n",
       "      <td>26</td>\n",
       "      <td>13</td>\n",
       "      <td>39</td>\n",
       "      <td>67.24</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Tissue type</td>\n",
       "      <td>29</td>\n",
       "      <td>29</td>\n",
       "      <td>58</td>\n",
       "      <td>100.00</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  Clinical Phenotype  Number reported on OP  Number reported on PR  \\\n",
       "0  Disease condition                     29                     24   \n",
       "1                Age                     26                     12   \n",
       "2           Organism                     29                     29   \n",
       "3                Sex                     26                     13   \n",
       "4        Tissue type                     29                     29   \n",
       "\n",
       "   Total number reported  Total Metadata  \n",
       "0                     53           91.37  \n",
       "1                     38           65.51  \n",
       "2                     58          100.00  \n",
       "3                     39           67.24  \n",
       "4                     58          100.00  "
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df2=pd.read_csv('sepsis_clinical_phenotypes.csv')\n",
    "df2.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "OP: Original Publication ; PR: Public Repository"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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3lXSfpGckPSvpOUkDeuYRSctLmlE+j0p6uGb95n6OZbik1j3PHBERLddMz/IHwCds393qYPqK7X8AYwAkHQE8b/uHbQpnOPAFIC8+RkQsoJp5wOexBSlRNiLp+fJzJUk3lN7mbElbShoi6dSyPkvSIaXu9ZLGluURkv5SlodIOkbSVEkzJX2uziEnAquX4xwj6QxJO9XEc6akHSXtI+lCSZdL+mN5v7Wrzr9Juq20cZKkIS38FUVERDc99iwl7VoWp0k6B7iAmim6bJ/f4tha7VPAFbaPKslncare6Mq2R0N1CbVBG/sDz9jeuMz7OUXSlbYfqKlzGDDadldP94PAIcCFkpYBNgP2Bv4N2AQYDbwITJV0CdX7rbsDm9t+VdJPgL2A02sDkTQBmAAwdOnl5u03EhERdfV2GfYTNcsvAtvWrBtY0JPlVOAUSYsAF9ieIel+YDVJPwYuAa5s0Ma2wHqSxpf1ZYA1gAd62sH27yT9j6R3ALsC59l+rUyqfVW5hIyk86kGsX8N2IgqeQIMAx6v0+4kYBLA0iut6mZ+ARER0Zwek6XtfaG67Gj7yf4LqX/YvkHSVsDHgTMkHWP7dEnrAx8FDgA+CexHlbC6LlkPrWlGwIG2r5jLw59B1Tvco7T/RljdwyzHOM3214iIiLbo8Z6lpB0kPQHMlPSQpM36Ma6Wk7Qq8LjtnwO/ADaUNAJYyPZ5wDeBDUv1v1D17gDG1zRzBfD50jtF0qg6Ixw9x9uHBzwVOBjA9l015R+RtJykYcDOwBTgGmB86YlStq86b2cdERHzorfLsN8DtrR9j6T3Uz0V+8H+CatfjAMOlfQq8DzwaWBlYLKkrj8iunpzP6QayejfgWtr2jgZGAncruoa6RNUSe4Ntv8haYqk2cBltg+1/Ziku6nuA9e6iarX+V7gl7anAUj6L+DKEterVL3ev87vLyAiIpqjatjXOhuk221v2NN6zDtJiwOzgA1tP1PK9gHG2v7i/La/9EqrepO9/9/8NhMRsUCZ3ym6JE23Pbbett56lu+Q9OWe1m0fO19RdShJ2wCnAMd2JcqIiBjYekuWP+et99q6r8c8sH018C91yk+lupcZEREDTG9Pwx7Zn4FEREQMVM2M4BMREdHRmpp1JBYso1ZeYb5vdEdExJvSs4yIiGigt7Fhv9zTNsjTsBER0Tl6uwybJ18jIiLI07ARERENNXzAR9JQqqmo1qFmEHHb+/W4U7TVvY89yTbH/rzdYcQgcvWXP9vuECLaqpkHfM4A3kk1E8fvgHdTDQ4eERHREZpJlu+1/U3gBdunUU1ptW5rw4qIiBg4mkmWr5afT0saTTXB8ciWRRQRETHANDMowSRJywL/BVwELAkc3tKoIiIiBpCGydL2yWXxBmC11oYTEREx8DS8DCvpe5KG16wvK+m7rQ1r4JD0TklnS/qzpD9IulTSqD5sf5ykzfqqvYiI6HvN3LPczvbTXSu2/wls37qQBg5JAn4DXG97ddtrA18HVuzDw4wD6iZLSRm7NyJiAGgmWQ6RtFjXiqRhwGK91B9MPgS8avtnXQW2ZwA3STpG0mxJsyTtDm/0Ei/uqivpREn7lOW/SDpS0u1ln7UkjQT+AzhE0gxJW0o6VdKxkq4DjpF0n6QVShsLSfqTpBH99QuIiIjmHvD5X+AaSZMBA/sBp7U0qoFjNDC9TvmuwBhgfWAEMFXSDU2096TtDSV9AfiK7c9I+hnwvO0fAkjaHxgFbGN7jqSngb2A44BtgDttP9m9YUkTgAkAQ5ddbm7PMyIietGwZ2n7B8BRwPuoRvH5TinrZFsAZ9meY/sxqsEaNm5iv/PLz+n0/vrNr23PKcunAJ8uy/sBk+vtYHuS7bG2xy6yRIb1jYjoS03dE7N9GXBZi2MZiO4CxtcpVw/1X+Otf4AM7bb95fJzDr3/7l/oWrD9oKTHJG0NvJ+qlxkREf2ox56lpJvKz+ckPVvzeU7Ss/0XYltdCywm6Y2BMSVtDPwT2F3SkHI/cSvgNuCvwNqSFpO0DPDhJo7xHI1neDmZ6nL4r2p6nBER0U96m3Vki/KzY6/p2bakXYDjJB0G/B/wF+BgqsEZ7qS6j/tV248CSPoVMBO4D7ijicP8FjhX0k7AgT3UuYjq8mvdS7AREdFast24kjSE6nWJN5Kr7b+1MK6oIWks8CPbWzZTf+lVRnqTQ77R4qiik2TWkegEkqbbHltvWzNTdB0IfAt4DHi9FBtYr88ijB6VHu3nyb3KiIi2aeYBny8Ba9r+R6uDibezPRGY2O44IiI6WTODEjwIPNPqQCIiIgaqZnqW9wPXS7qEN199wPaxLYsqIiJiAGkmWf6tfBYtnxjgRq04Ig9kRET0oWam6DqyPwKJiIgYqHpMlpKOs32wpN9SPf36FrZ3bGlkERERA0RvPcszys8f9kcgERERA1VvI/hMLz9/13/hREREDDy9XYadRZ3Lr1SDiNt2BiUYoP701D/Y8ZedMova3LvoU3u3O4SIWMD0dhl2h36LIiIiYgDrLVkuAqxoe0ptoaQtgb+3NKqIiIgBpLcRfI6jmj6qu5fKtoiIiI7QW7IcaXtm90Lb04CRLYsoIiJigOktWQ7tZduwvg4kIiJioOotWU6V9LYx0yTtD0xvXUjtJWkXSZa0Vj8d7+v9cZyIiJh3vT3gczDwG0l78WZyHEs1PuwurQ6sjfYEbgL2AI7oh+N9Hfhe90JJopqc+/W37xIREf2px56l7cdsbwYcCfylfI60vantR/snvP4laUlgc2B/qmSJpHGSrpd0rqR7JJ1ZEhmSNpZ0s6Q7Jd0maSlJQyQdI2mqpJmSPlfqriTpBkkzJM2WtKWkicCwUnampJGS7pb0E+B24JuSflQT32clZbaXiIh+1sxA6tcB1/VDLAPBzsDltu+V9JSkDUv5BsA6VK/MTAE2l3QbcA6wu+2pkpamelJ4f+AZ2xtLWgyYIulKYFfgCttHSRoCLG77RklftD0GQNJIYE1gX9tfkLQEMFPSV22/CuwLfK5e4JImABMAho1Yvs9/MRERnayZKbo6yZ68+VrM2WX9EuA22w8BSJpB9TTwM8AjtqcC2H62bN8WWE/S+NLOMsAawFTgFEmLABfYntFDDH+1fUtp8wVJ1wI7SLobWMT2rHo72Z4ETAIYvtp76o28FBER8yjJspC0PLA1MFqSgSFUw/1dSs2k18Acqt+b6Hk4wANtX1HnGFsBHwfOkHSM7dPr7P9Ct/WTqe5r3gNMnquTioiIPtHb07CdZjxwuu1VbY+0vQrwALBFD/XvAd4laWOAcr9yYeAK4POlB4mkUZKWkLQq8LjtnwO/ALou8b7aVbce27cCqwCfAs6a/9OMiIi5lWT5pj2B33QrO48qSb2N7VeA3YEfS7oTuIrq3dSTgT8At0uaDZxE1RMdB8yQdAewG3B8aWoS1X3JM3uJ7VfAFNv/nIfzioiI+SQ7t7cGOkkXAz+yfU0z9Yev9h5v9d0jWhrTgiyzjkREPZKm2x5bb1t6lgOYpOGS7gVeajZRRkRE38sDPgOY7aeBUe2OIyKi06VnGRER0UCSZURERAO5DDsIvXe55fMQS0REH0rPMiIiooEky4iIiAaSLCMiIhpIsoyIiGggD/gMQg8+/xRfuuHsdocR8Ybjt9qj3SFEzJf0LCMiIhpIsoyIiGggyTIiIqKBJMuIiIgGkiwjIiIaSLKsIcmSzqhZX1jSE2U+yblpZ4yk7ZuoN66rbUk7SjqsLO8sae25jT8iIlojyfKtXgBGSxpW1j8CPDw3DUhaGBgDNEyWtWxfZHtiWd0ZSLKMiBggkizf7jLg42V5T+Csrg2SlpN0gaSZkm6RtF4pP0LSJElXAqcD3wZ2lzRD0u6SNpF0s6Q7ys81ux9U0j6STpS0GbAjcEzZf3VJt9fUW0PS9NadfkREdJdk+XZnA3tIGgqsB9xas+1I4A7b6wFfp0qMXTYCdrL9KeBw4BzbY2yfA9wDbGV7g7Ltez0d3PbNwEXAoWX/PwPPSBpTquwLnNoH5xkREU3KCD7d2J4paSRVr/LSbpu3AHYr9a6VtLykZcq2i2y/1EOzywCnSVoDMLDIXIZ1MrCvpC8DuwObdK8gaQIwAWCpFUfMZfMREdGb9Czruwj4ITWXYAvVqevy84Ve2vsOcJ3t0cAngKFzGc95wHbADsB02/94WxD2JNtjbY8dNnypuWw+IiJ6k2RZ3ynAt23P6lZ+A7AXVE+yAk/afrbO/s8BtRlrGd58UGifJo7/lv1t/x9wBfBTYHIT+0dERB9KsqzD9kO2j6+z6QhgrKSZwERg7x6auA5Yu+sBH+AHwPclTQGGNBHC2cCh5YGg1UvZmVS92Cvn4lQiIqIPyHbjWtF2kr4CLGP7m43qrrjWat5jUo/PEEX0u8w6EgsCSdNtj623LQ/4LAAk/QZYHdi63bFERHSiJMsFgO1d2h1DREQnyz3LiIiIBpIsIyIiGshl2EFolSWXywMVERF9KD3LiIiIBpIsIyIiGkiyjIiIaCDJMiIiooE84DMIPf3yc1x43/XtDiNaaKc1xrU7hIiOkp5lREREA0mWERERDSRZRkRENJBkGRER0UCSZURERANJlhEREQ20LVlKeqeksyX9WdIfJF0qaZSkkZJmlzpjJZ3QRFs3z2MMR5RJlbuXrynpekkzJN0tadK8tD+Xsdxcfo6U9KlWHy8iIprXlvcsJQn4DXCa7T1K2RhgReDBrnq2pwHTGrVne7M+DvEE4Ee2LyyxrdvH7b9B0hDbc2rOYSTwKeCXrTpmRETMnXb1LD8EvGr7Z10FtmfYvrG2kqRxki4uy0dIOqX0+O6XdFBNvedrlr8qaZakOyVNLGWflTS1lJ0nafEG8a0EPFQT26zSzhBJx5S2Zkr6XCk/R9L2NTGcKmm3XuqPk3SdpF8CXW13ncNEYMvSqz1E0o3lD4mutqdIWq/xrzgiIvpKu5LlaGD6POy3FvBRYBPgW5IWqd0oaTtgZ+D9ttcHflA2nW9741J2N7B/g+P8CLhW0mUlYQ0v5fsDz9jeGNgY+Kyk9wBnA7uXGBYFPgxc2kt9yjl8w/ba3Y59GHCj7TG2fwScDOxT2h4FLGZ7ZveAJU2QNE3StGefeqbB6UVExNxY0B7wucT2y7afBB6numxbaxtgsu0XAWw/VcpHlx7aLGAvYJ3eDmJ7MvA+4NfAOOAWSYsB2wKfljQDuBVYHlgDuAzYutTZDrjB9ku91Ae4zfYDTZzzr4Edyh8G+wGn9hDzJNtjbY9derllmmg2IiKa1a6xYe8Cxs/Dfi/XLM/h7fELcJ39TgV2tn2npH2oEmCvbP8dOAU4pTxwNLq0f6DtK7rXl3Q9Va93d+CsmnjeVl/SOOCFRjGUOF6UdBWwE/BJYGwz+0VERN9pV8/yWmAxSZ/tKpC0saQPzme7VwL7dd2TlLRcKV8KeKT0zvZq1Iikj3Vd4pX0Tqoe4cPAFcDna7aNkrRE2e1sYF9gy1KPBvV78lyJt9bJVA8dTa3pLUdERD9pS7K0bWAX4CPl1ZG7gCOAv89nu5cDFwHTyqXPrtdCvkl1GfQq4J4mmtoWmC3pTqqEd6jtR6mS1h+A20tv8yTe7N1eCWwFXG37lVLWW/2ezAReKw8jHVLOazrwLDC5idgjIqKPqcpbMZBJehdwPbCW7dcb1X/vumv6v88/qeVxRftkiq6Ividpuu26t7oWtAd8Oo6kT1P1ir/RTKKMiIi+l8mfBzjbpwOntzuOiIhOlp5lREREA+lZDkLDF1sq97QiIvpQepYRERENJFlGREQ0kFdHBiFJzwF/bHccbTQCeLLdQbRRJ59/J5875Pzn9/xXtb1CvQ25Zzk4/bGnd4U6gaRpOf/OPP9OPnfI+bfy/HMZNiIiooEky4iIiAaSLAenSe0OoM1y/p2rk88dcv4tO/884BMREdFAepYRERENJFlGREQ0kGQ5yJSJq/8o6U+SDmt3PK0kaRVJ10m6W9Jdkr5UypeTdJWk+8rPZdsdaytJGiLpDkkXl/X3SLq1nP85khZtd4ytImm4pHMl3VP+O9i0k75/SYeU//ZnSzpL0tDB/P1LOkXS42V+4K6yut+3KieUfwtnStpwfmAgwT0AAAYlSURBVI6dZDmISBoC/A+wHbA2sKektdsbVUu9Bvyn7fcBHwAOKOd7GHCN7TWAa8r6YPYl4O6a9aOBH5Xz/yewf1ui6h/HA5fbXgtYn+r30BHfv6SVgYOAsbZHA0OAPRjc3/+pwMe6lfX0fW8HrFE+E4Cfzs+BkywHl02AP9m+3/YrwNnATm2OqWVsP2L79rL8HNU/lCtTnfNppdppwM7tibD1JL0b+DhwclkXsDVwbqkyaM9f0tLAVsAvAGy/YvtpOuj7pxpYZpikhYHFgUcYxN+/7RuAp7oV9/R97wSc7sotwHBJK83rsZMsB5eVgQdr1h8qZYOepJHABlQTZa9o+xGoEirwjvZF1nLHAV8FuiYGXx542vZrZX0w/zewGvAEMLlchj5Z0hJ0yPdv+2Hgh8DfqJLkM8B0Ouf779LT992n/x4mWQ4uqlM26N8NkrQkcB5wsO1n2x1Pf5G0A/C47em1xXWqDtb/BhYGNgR+ansD4AUG6SXXesq9uZ2A9wDvApaguvTY3WD9/hvp0/8XkiwHl4eAVWrW3w38vU2x9AtJi1AlyjNtn1+KH+u63FJ+Pt6u+Fpsc2BHSX+huuS+NVVPc3i5LAeD+7+Bh4CHbN9a1s+lSp6d8v1vAzxg+wnbrwLnA5vROd9/l56+7z799zDJcnCZCqxRnoZblOpm/0Vtjqllyv25XwB32z62ZtNFwN5leW/gwv6OrT/Y/prtd9seSfVdX2t7L+A6YHypNpjP/1HgQUlrlqIPA3+gQ75/qsuvH5C0ePl/oev8O+L7r9HT930R8OnyVOwHgGe6LtfOi4zgM8hI2p6qdzEEOMX2UW0OqWUkbQHcCMzizXt2X6e6b/kr4F+o/kH5V9vdHwoYVCSNA75iewdJq1H1NJcD7gD+zfbL7YyvVSSNoXq4aVHgfmBfqk5AR3z/ko4Edqd6MvwO4DNU9+UG5fcv6SxgHNVUXI8B3wIuoM73Xf6AOJHq6dkXgX1tT5vnYydZRkRE9C6XYSMiIhpIsoyIiGggyTIiIqKBJMuIiIgGkiwjIiIaSLKMGKQkLS9pRvk8KunhmvW3zURRZm/4jybaXVjS0z2UW9LkmrJFJT0l6YIGbW4oqfsA2Q1Juqm8PtJbnS9LGjq3bUfUSrKMGKRs/8P2GNtjgJ9RzUQxpnxeqbPLckDDZNnAs8CGkhYr6x+levetkQ15+2wSfeXLQJJlzJcky4gOJOmrZQ7E2ZIOLMUTgTVLz3OipKUlXSvp9jIf4A5NNG3gCt4co3RP4Kya4y4p6VRJt5XBzz8haRhwOLBXOfZ4SR+Q9PtSZ4qkNcr+i0v6dYnnbGqSoKRJkqapmt/x8FJ2CNXA2jdKurqnehEN2c4nn3wG+Qc4gmqEH6imcruTakqnpaimNlsPeC8wo2afRYClyvI7gPvK8sJUM1t0P8bCwNNUvcSzS/t3UI1hekGp8wNgj7K8LHAvVcL7DHBcTVvLAEPK8seAc8ryV4FJZXkDYA4wpqwvVxPHjcDaZf0hYHhN23Xr5ZNPb5+uwXYjonNsCZxn+0WAcj9xC+DKbvUEHF2GFXwdWEXSCKqE2CPbt0saRdWr/G23zdsC20nqmh1kKNUwZd0NB06XtHq38q2oEi6275B0V822PSXtT5UE30U1Afof6rTdbL2INyRZRnSeelMX1fNpqh7ehrZfk/QQzd/7u5gqqW3BW+cQFLCz7T+/JSBpq277HwVcYfsnkt4LXF6z7W1jdJbLtF8CNrH9tKT/rRdrs/Uiuss9y4jOcwOwi6RhZS7QnaguRz5HdVm2yzJU82W+JukjzN3EuScD37J9d7fyK4CDulYkbVAW6x374bK8T7fY9yr7rg+sU8qXLm08W6Zp+mjNPrVt91YvokfpWUZ0GNu3ldkbppain9qeBVAefJkFXAIcC/xW0jTgduC+uTjG36hmfOjuSOC4coyFgD9RJetrgUMl3UHVqzwaOEXSV6mmnOpyInCapJklpq5ZJG6nupQ6m2r2kSk1+0wCrpb0IPCRXupF9CizjkRERDSQy7ARERENJFlGREQ0kGQZERHRQJJlREREA0mWERERDSRZRkRENJBkGRER0cD/B3lBUXqICT8CAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "ax = sns.barplot(data=df2, x='Total Metadata', y='Clinical Phenotype', palette='mako')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The most reported clinical phenotypes were **organism and tissue type (100%)** while the least reported was **ancestry (22.4%)**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "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>Clinical Phenotype</th>\n",
       "      <th>Number of clinical phenotypes</th>\n",
       "      <th>Reported Metadata</th>\n",
       "      <th>Type</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Disease condition</td>\n",
       "      <td>29</td>\n",
       "      <td>100.00</td>\n",
       "      <td>Original Publication</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Disease condition</td>\n",
       "      <td>24</td>\n",
       "      <td>82.75</td>\n",
       "      <td>Public Repositories</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Age</td>\n",
       "      <td>26</td>\n",
       "      <td>89.65</td>\n",
       "      <td>Original Publication</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Age</td>\n",
       "      <td>12</td>\n",
       "      <td>41.38</td>\n",
       "      <td>Public Repositories</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Organism</td>\n",
       "      <td>29</td>\n",
       "      <td>100.00</td>\n",
       "      <td>Original Publication</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  Clinical Phenotype  Number of clinical phenotypes  Reported Metadata  \\\n",
       "0  Disease condition                             29             100.00   \n",
       "1  Disease condition                             24              82.75   \n",
       "2                Age                             26              89.65   \n",
       "3                Age                             12              41.38   \n",
       "4           Organism                             29             100.00   \n",
       "\n",
       "                   Type  \n",
       "0  Original Publication  \n",
       "1   Public Repositories  \n",
       "2  Original Publication  \n",
       "3   Public Repositories  \n",
       "4  Original Publication  "
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df3=pd.read_csv('sepsis_individual_phenotypes.csv')\n",
    "df3.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.legend.Legend at 0x2dc48c26188>"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "ax = sns.barplot(data=df3, x='Reported Metadata', y='Clinical Phenotype',hue='Type', palette='mako')\n",
    "plt.legend(bbox_to_anchor=(1.05, 1), loc=2, borderaxespad=0.)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Apart from tissue type and organism, the **least discrepancy** was observed for reporting the **disease condition**, with **100%** being reported on publications and **82.8%** reported on the repositories. On the other hand, the **largest difference** between publications and repositories was observed for the country of residence of the patient. While the country is mentioned on **89.7%** of the publications, it was reported by a mere **3.4%** on public repositories."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "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>Cohort</th>\n",
       "      <th>Number of clinical phenotypes</th>\n",
       "      <th>Reported Metadata</th>\n",
       "      <th>Type</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>E-MEXP-3567</td>\n",
       "      <td>7</td>\n",
       "      <td>77.77</td>\n",
       "      <td>Original Publication</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>E-MEXP-3567</td>\n",
       "      <td>5</td>\n",
       "      <td>55.55</td>\n",
       "      <td>Public Repository</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>E-MEXP-3850</td>\n",
       "      <td>8</td>\n",
       "      <td>88.88</td>\n",
       "      <td>Original Publication</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>E-MEXP-3850</td>\n",
       "      <td>5</td>\n",
       "      <td>55.55</td>\n",
       "      <td>Public Repository</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>E-MTAB-1548</td>\n",
       "      <td>8</td>\n",
       "      <td>88.88</td>\n",
       "      <td>Original Publication</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "        Cohort  Number of clinical phenotypes  Reported Metadata  \\\n",
       "0  E-MEXP-3567                              7              77.77   \n",
       "1  E-MEXP-3567                              5              55.55   \n",
       "2  E-MEXP-3850                              8              88.88   \n",
       "3  E-MEXP-3850                              5              55.55   \n",
       "4  E-MTAB-1548                              8              88.88   \n",
       "\n",
       "                   Type  \n",
       "0  Original Publication  \n",
       "1     Public Repository  \n",
       "2  Original Publication  \n",
       "3     Public Repository  \n",
       "4  Original Publication  "
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df4=pd.read_csv('sepsis_comparison.csv')\n",
    "df4.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[None, None, None, None]"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
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\n",
      "text/plain": [
       "<Figure size 2160x720 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "ax = sns.barplot(data=df4, x='Cohort', y='Reported Metadata', hue='Type', palette='mako')\n",
    "ax.set_xlabel(\"Cohort\",fontsize=30)\n",
    "ax.set_ylabel(\"Reported Metadata\",fontsize=30)\n",
    "ax.set_xticklabels(ax.get_xticklabels(), rotation=60, ha=\"right\")\n",
    "plt.legend(bbox_to_anchor=(1.02, 1), loc=2, borderaxespad=0.)\n",
    "fig = plt.gcf()\n",
    "fig.set_size_inches(30, 10)\n",
    "ax.tick_params(axis='x', labelsize=24)\n",
    "ax.tick_params(axis='y', labelsize=24)\n",
    "plt.setp(ax.get_legend().get_texts(), fontsize='24') # for legend text"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The most reported clinical phenotypes on publications were the **disease condition, organism, and tissue type**, each being **consistently reported** across all studies, while this was also the case for the latter two on public repositories. The **least reported** clinical variable on publications was **ancestry (37.9%)**, while on the repositories it was the **country of residence (3.4%)**."
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "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": "3.7.6"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}