Gini_Fig3.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "#random forest to pick the best subsegmental opening energy\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "from matplotlib.colors import ListedColormap\n",
    "import seaborn as sns\n",
    "from sklearn.model_selection import train_test_split, GridSearchCV\n",
    "from sklearn import metrics\n",
    "from sklearn.metrics import roc_curve, roc_auc_score, auc\n",
    "from sklearn.ensemble import RandomForestClassifier"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "def openen_label(n, t, f):\n",
    "    d = pd.read_csv(f, sep='\\t', skiprows=2, nrows=(n+t), header=None)\n",
    "    d = d.set_index(0).stack().to_frame()\n",
    "    d = d.index.to_frame()\n",
    "    d.columns = [\"Position 'i' centered at the start codon\", \"Subsegment 'l'\"]\n",
    "    d = d.reset_index()[[\"Position 'i' centered at the start codon\", \"Subsegment 'l'\"]]\n",
    "    d[\"Position 'i' centered at the start codon\"] = d[\"Position 'i' centered at the start codon\"] - n\n",
    "    return d"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "d = pd.read_pickle('data/openen.pET21_NESG.pkl')\n",
    "dt = d.set_index('id').T\n",
    "label = openen_label(71, 100, 'data/AaCD00331182_openen')\n",
    "df = pd.concat([label, dt], axis=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "corr = pd.read_pickle('data/corr.cambray.pkl')\n",
    "label = openen_label(135, 100, 'data/321_23311221_1_openen')\n",
    "corr = pd.merge(label, corr, on=[\"Position 'i' centered at the start codon\",\"Subsegment 'l'\"])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "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>Position 'i' centered at the start codon</th>\n",
       "      <th>Subsegment 'l'</th>\n",
       "      <th>corr</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>-134</td>\n",
       "      <td>1</td>\n",
       "      <td>-0.000336</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>-133</td>\n",
       "      <td>1</td>\n",
       "      <td>0.012829</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>-133</td>\n",
       "      <td>2</td>\n",
       "      <td>0.009521</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>-132</td>\n",
       "      <td>1</td>\n",
       "      <td>-0.005373</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>-132</td>\n",
       "      <td>2</td>\n",
       "      <td>-0.000032</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   Position 'i' centered at the start codon  Subsegment 'l'      corr\n",
       "0                                      -134               1 -0.000336\n",
       "1                                      -133               1  0.012829\n",
       "2                                      -133               2  0.009521\n",
       "3                                      -132               1 -0.005373\n",
       "4                                      -132               2 -0.000032"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "corr.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "df = pd.merge(corr, df, on=[\"Position 'i' centered at the start codon\",\"Subsegment 'l'\"])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "df = df.sort_values('corr').head(n=200)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "df['Transcript position'] = (df[\"Position 'i' centered at the start codon\"] - df[\"Subsegment 'l'\"]).map(str) + ':' + df[\"Position 'i' centered at the start codon\"].map(str)\n",
    "df = df.drop(columns=[\"Position 'i' centered at the start codon\",\"Subsegment 'l'\", \"corr\"]).set_index('Transcript position').T.reset_index()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "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>Transcript position</th>\n",
       "      <th>index</th>\n",
       "      <th>-30:18</th>\n",
       "      <th>-29:18</th>\n",
       "      <th>-31:18</th>\n",
       "      <th>-32:18</th>\n",
       "      <th>-33:18</th>\n",
       "      <th>-28:18</th>\n",
       "      <th>-34:18</th>\n",
       "      <th>-27:18</th>\n",
       "      <th>-26:18</th>\n",
       "      <th>...</th>\n",
       "      <th>-37:24</th>\n",
       "      <th>-29:15</th>\n",
       "      <th>-19:18</th>\n",
       "      <th>-44:18</th>\n",
       "      <th>-45:18</th>\n",
       "      <th>-42:17</th>\n",
       "      <th>-43:17</th>\n",
       "      <th>-39:24</th>\n",
       "      <th>-25:24</th>\n",
       "      <th>-24:24</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>AaCD00331182</td>\n",
       "      <td>12.9550</td>\n",
       "      <td>12.9435</td>\n",
       "      <td>12.9582</td>\n",
       "      <td>12.9584</td>\n",
       "      <td>12.9568</td>\n",
       "      <td>12.9129</td>\n",
       "      <td>12.9792</td>\n",
       "      <td>12.7683</td>\n",
       "      <td>11.8293</td>\n",
       "      <td>...</td>\n",
       "      <td>14.5706</td>\n",
       "      <td>8.3021</td>\n",
       "      <td>9.4903</td>\n",
       "      <td>16.0773</td>\n",
       "      <td>16.6643</td>\n",
       "      <td>14.4369</td>\n",
       "      <td>14.8716</td>\n",
       "      <td>15.2233</td>\n",
       "      <td>11.4634</td>\n",
       "      <td>11.0902</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>AaCD00331183</td>\n",
       "      <td>5.6645</td>\n",
       "      <td>5.6560</td>\n",
       "      <td>5.6640</td>\n",
       "      <td>5.6702</td>\n",
       "      <td>5.7997</td>\n",
       "      <td>5.3301</td>\n",
       "      <td>5.8067</td>\n",
       "      <td>5.0079</td>\n",
       "      <td>4.7893</td>\n",
       "      <td>...</td>\n",
       "      <td>9.5833</td>\n",
       "      <td>5.0216</td>\n",
       "      <td>4.4329</td>\n",
       "      <td>6.8656</td>\n",
       "      <td>7.1419</td>\n",
       "      <td>6.0962</td>\n",
       "      <td>6.3649</td>\n",
       "      <td>9.6540</td>\n",
       "      <td>9.4227</td>\n",
       "      <td>9.3545</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>AaCD00331184</td>\n",
       "      <td>8.3275</td>\n",
       "      <td>8.3272</td>\n",
       "      <td>8.3204</td>\n",
       "      <td>8.3119</td>\n",
       "      <td>8.3059</td>\n",
       "      <td>8.3165</td>\n",
       "      <td>8.2951</td>\n",
       "      <td>8.2439</td>\n",
       "      <td>8.1274</td>\n",
       "      <td>...</td>\n",
       "      <td>10.5627</td>\n",
       "      <td>8.1710</td>\n",
       "      <td>7.4743</td>\n",
       "      <td>10.3336</td>\n",
       "      <td>11.6499</td>\n",
       "      <td>8.5751</td>\n",
       "      <td>9.4265</td>\n",
       "      <td>10.5873</td>\n",
       "      <td>8.9510</td>\n",
       "      <td>8.7744</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>AaCD00331185</td>\n",
       "      <td>6.7248</td>\n",
       "      <td>6.6950</td>\n",
       "      <td>6.7382</td>\n",
       "      <td>6.7452</td>\n",
       "      <td>6.7545</td>\n",
       "      <td>6.6527</td>\n",
       "      <td>6.7625</td>\n",
       "      <td>6.4921</td>\n",
       "      <td>6.2678</td>\n",
       "      <td>...</td>\n",
       "      <td>8.1202</td>\n",
       "      <td>5.1338</td>\n",
       "      <td>5.3525</td>\n",
       "      <td>8.3646</td>\n",
       "      <td>8.8394</td>\n",
       "      <td>7.3134</td>\n",
       "      <td>7.6136</td>\n",
       "      <td>8.2769</td>\n",
       "      <td>7.5265</td>\n",
       "      <td>7.4241</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>AaCD00331621</td>\n",
       "      <td>7.5083</td>\n",
       "      <td>7.3059</td>\n",
       "      <td>7.7295</td>\n",
       "      <td>7.8896</td>\n",
       "      <td>8.0213</td>\n",
       "      <td>7.1354</td>\n",
       "      <td>8.1814</td>\n",
       "      <td>6.9075</td>\n",
       "      <td>6.8229</td>\n",
       "      <td>...</td>\n",
       "      <td>8.8879</td>\n",
       "      <td>6.4391</td>\n",
       "      <td>5.5889</td>\n",
       "      <td>9.7659</td>\n",
       "      <td>9.9726</td>\n",
       "      <td>9.0459</td>\n",
       "      <td>9.4245</td>\n",
       "      <td>9.3469</td>\n",
       "      <td>7.2936</td>\n",
       "      <td>7.2700</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 201 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "Transcript position         index   -30:18   -29:18   -31:18   -32:18  \\\n",
       "0                    AaCD00331182  12.9550  12.9435  12.9582  12.9584   \n",
       "1                    AaCD00331183   5.6645   5.6560   5.6640   5.6702   \n",
       "2                    AaCD00331184   8.3275   8.3272   8.3204   8.3119   \n",
       "3                    AaCD00331185   6.7248   6.6950   6.7382   6.7452   \n",
       "4                    AaCD00331621   7.5083   7.3059   7.7295   7.8896   \n",
       "\n",
       "Transcript position   -33:18   -28:18   -34:18   -27:18   -26:18  ...  \\\n",
       "0                    12.9568  12.9129  12.9792  12.7683  11.8293  ...   \n",
       "1                     5.7997   5.3301   5.8067   5.0079   4.7893  ...   \n",
       "2                     8.3059   8.3165   8.2951   8.2439   8.1274  ...   \n",
       "3                     6.7545   6.6527   6.7625   6.4921   6.2678  ...   \n",
       "4                     8.0213   7.1354   8.1814   6.9075   6.8229  ...   \n",
       "\n",
       "Transcript position   -37:24  -29:15  -19:18   -44:18   -45:18   -42:17  \\\n",
       "0                    14.5706  8.3021  9.4903  16.0773  16.6643  14.4369   \n",
       "1                     9.5833  5.0216  4.4329   6.8656   7.1419   6.0962   \n",
       "2                    10.5627  8.1710  7.4743  10.3336  11.6499   8.5751   \n",
       "3                     8.1202  5.1338  5.3525   8.3646   8.8394   7.3134   \n",
       "4                     8.8879  6.4391  5.5889   9.7659   9.9726   9.0459   \n",
       "\n",
       "Transcript position   -43:17   -39:24   -25:24   -24:24  \n",
       "0                    14.8716  15.2233  11.4634  11.0902  \n",
       "1                     6.3649   9.6540   9.4227   9.3545  \n",
       "2                     9.4265  10.5873   8.9510   8.7744  \n",
       "3                     7.6136   8.2769   7.5265   7.4241  \n",
       "4                     9.4245   9.3469   7.2936   7.2700  \n",
       "\n",
       "[5 rows x 201 columns]"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [],
   "source": [
    "c = pd.read_csv('data/class.txt', sep='\\t')\n",
    "c = c.set_index('Accession').replace(2, 1).reset_index()\n",
    "c.columns = ['index', 'Class']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [],
   "source": [
    "df = pd.merge(df, c, on='index')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [],
   "source": [
    "RANDOM_SEED = 12345\n",
    "y = df['Class']\n",
    "x = df.drop(['index', 'Class'], axis=1)\n",
    "x_train, x_test, y_train, y_test = train_test_split(x, y, test_size=0.3, random_state = RANDOM_SEED)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Accuracy: 0.8113152522601341\n"
     ]
    }
   ],
   "source": [
    "rf = RandomForestClassifier(n_estimators=1000, random_state = RANDOM_SEED)\n",
    "rf.fit(x_train, y_train)\n",
    "y_pred = rf.predict(x_test)\n",
    "print(\"Accuracy:\", metrics.accuracy_score(y_test, y_pred))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 216x216 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "y_pred_rf = rf.predict_proba(x_test)[:, 1]\n",
    "%matplotlib inline\n",
    "plt.rcParams['figure.figsize'] = [3, 3]\n",
    "fpr_rf, tpr_rf, _ = roc_curve(y_test, y_pred_rf)\n",
    "plt.plot(fpr_rf, tpr_rf, label='AUC = %0.3f' % roc_auc_score(y_test, y_pred_rf))\n",
    "plt.plot([0, 1], [0, 1], color='black', linestyle='--')\n",
    "plt.xlabel('False Positive Rate')\n",
    "plt.ylabel('True Positive Rate')\n",
    "plt.legend(loc=\"lower right\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "No handles with labels found to put in legend.\n"
     ]
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 720x2880 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "feature_imp = pd.Series(rf.feature_importances_,index=list(x)).sort_values(ascending=False)\n",
    "%matplotlib inline\n",
    "plt.rcParams['figure.figsize'] = [10, 40]\n",
    "sns.barplot(x=feature_imp, y=feature_imp.index)\n",
    "plt.xlabel('Feature Importance Score')\n",
    "plt.ylabel('Features')\n",
    "plt.title(\"Visualizing Important Features\")\n",
    "plt.legend()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "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": "3.7.3"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}