From 50225ebf36abd3d5de9a5c6887b3ebe5c47c91ad Mon Sep 17 00:00:00 2001 From: Greg Way Date: Mon, 1 Jan 2018 17:56:37 -0500 Subject: [PATCH] Hotfix reviewer response (#68) * adjust to positive and negative predictive values * add suz12 and tp53 cooccurence --- scripts/ras_cell_line_predictions.ipynb | 256 ++++++++++-------- scripts/ras_variants_oncogenicity_score.ipynb | 174 ++++++++++++ 2 files changed, 319 insertions(+), 111 deletions(-) diff --git a/scripts/ras_cell_line_predictions.ipynb b/scripts/ras_cell_line_predictions.ipynb index 64a8650..9245d42 100644 --- a/scripts/ras_cell_line_predictions.ipynb +++ b/scripts/ras_cell_line_predictions.ipynb @@ -844,7 +844,7 @@ "data": { "image/png": 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BT08PP/zwA/bu3av2BrOwsBDh4eHKi8cAxWpH0a1Vz0pNTUVUVBQAxadxEb3puHT8AiYm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\nR4wdO1ZjH/Xq1SvDsyCikvCq4zeYvr4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JJOtQjG0PjwM1awg1bkVnG4r/4Id497+F0II4iu9BbztiTCRJEvbCO7vs+7y5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4doPOinPU/0PpgRxgZ8MmaETKbDQaw5YUraysxG6PJFPTwEFCgOpGO5E1UpKV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\n1VdfkZaWRkVFBe+9954nGcelBAYGcv78eVwuF9nZ2YA7vr82I76U5OR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BrQDvMLuV4XK5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\n2gheY/bipY3gNWYvXtoIXmP24qWN8P8D8+4Ik0sBqP0AAAAASUVORK5CYII=\n", "text/plain": [ - "" + "" ] }, "metadata": {}, @@ -1756,8 +1756,9 @@ }, "outputs": [], "source": [ - "positive_ras_ccle = ccle_full_df[ccle_full_df['weight'] > 0.5]\n", - "negative_ras_ccle = ccle_full_df[ccle_full_df['weight'] <= 0.5]" + "# Assign a label to what the predictions are given classifier scores\n", + "ccle_full_df = ccle_full_df.assign(predictions = 'wild-type')\n", + "ccle_full_df.loc[ccle_full_df['weight'] > 0.5, 'predictions'] = 'mutant'" ] }, { @@ -1766,23 +1767,14 @@ "metadata": { "collapsed": false }, - "outputs": [ - { - "data": { - "text/plain": [ - "0 357\n", - "1 36\n", - "Name: ras_status, dtype: int64" - ] - }, - "execution_count": 28, - "metadata": {}, - "output_type": "execute_result" - } - ], + "outputs": [], "source": [ - "# Negative predictions of wild-type Ras\n", - "negative_ras_ccle['ras_status'].value_counts()" + "# Stratify cell lines based on predictions and ground truth status\n", + "positive_ras_predictions_ccle = ccle_full_df[ccle_full_df['weight'] > 0.5]\n", + "negative_ras_predictions_ccle = ccle_full_df[ccle_full_df['weight'] <= 0.5]\n", + "\n", + "positive_ras_lines_ccle = ccle_full_df[ccle_full_df['ras_status'] == 1]\n", + "negative_ras_lines_ccle = ccle_full_df[ccle_full_df['ras_status'] == 0]" ] }, { @@ -1793,20 +1785,22 @@ }, "outputs": [ { - "name": "stdout", - "output_type": "stream", - "text": [ - "357 of 393 Ras wt predicted correctly (90.8%)\n" - ] + "data": { + "text/plain": [ + "wild-type 357\n", + "mutant 191\n", + "Name: predictions, dtype: int64" + ] + }, + "execution_count": 29, + "metadata": {}, + "output_type": "execute_result" } ], "source": [ - "neg_ccle_results = negative_ras_ccle['ras_status'].value_counts()\n", - "correct_neg = neg_ccle_results[0]\n", - "total_neg = neg_ccle_results.sum()\n", - "print('{} of {} Ras wt predicted correctly ({:.1f}%)'.format(correct_neg,\n", - " total_neg,\n", - " correct_neg * 100 / total_neg))" + "# Of wild-type Ras cell lines, how many are predicted correctly?\n", + "# True Negative Rate, Specificity\n", + "negative_ras_lines_ccle['predictions'].value_counts()" ] }, { @@ -1819,9 +1813,9 @@ { "data": { "text/plain": [ - "0 191\n", - "1 153\n", - "Name: ras_status, dtype: int64" + "mutant 153\n", + "wild-type 36\n", + "Name: predictions, dtype: int64" ] }, "execution_count": 30, @@ -1830,8 +1824,9 @@ } ], "source": [ - "# Positive predictions of wild-type Ras\n", - "positive_ras_ccle['ras_status'].value_counts()" + "# Of mutated Ras cell lines, how many are predicted correctly?\n", + "# True Positive Rate (TPR), Recall, Sensitivity\n", + "positive_ras_lines_ccle['predictions'].value_counts()" ] }, { @@ -1845,17 +1840,20 @@ "name": "stdout", "output_type": "stream", "text": [ - "153 of 344 Ras mut predicted correctly (44.5%)\n" + "357 out of 393 Ras wild-type predictions are true (90.8%)\n" ] } ], "source": [ - "pos_ccle_results = positive_ras_ccle['ras_status'].value_counts()\n", - "correct_pos = pos_ccle_results[1]\n", - "total_pos = pos_ccle_results.sum()\n", - "print('{} of {} Ras mut predicted correctly ({:.1f}%)'.format(correct_pos,\n", - " total_pos,\n", - " correct_pos * 100 / total_pos))" + "# Of the wild-type predictions, how many are actually wild-type?\n", + "# Negative Predictive Value (NPV)\n", + "neg_ccle_results = negative_ras_predictions_ccle['ras_status'].value_counts()\n", + "true_neg = neg_ccle_results[0]\n", + "predicted_condition_neg = neg_ccle_results.sum()\n", + "\n", + "print('{} out of {} Ras wild-type predictions '\n", + " 'are true ({:.1f}%)'.format(true_neg, predicted_condition_neg,\n", + " true_neg * 100 / predicted_condition_neg))" ] }, { @@ -1866,22 +1864,23 @@ }, "outputs": [ { - "data": { - "text/plain": [ - "0 135\n", - "1 56\n", - "Name: BRAF_MUT, dtype: int64" - ] - }, - "execution_count": 32, - "metadata": {}, - "output_type": "execute_result" + "name": "stdout", + "output_type": "stream", + "text": [ + "153 out of 344 Ras mutation predictions are true (44.5%)\n" + ] } ], "source": [ - "# Of the False positives, how many are BRAF mutant?\n", - "wt_ras_braf_ccle = positive_ras_ccle[positive_ras_ccle['ras_status'] == 0]\n", - "wt_ras_braf_ccle['BRAF_MUT'].value_counts()" + "# Of the mutated predictions, how many are actually mutated?\n", + "# Positive Predictive Value (PPV) -or- precision\n", + "pos_ccle_results = positive_ras_predictions_ccle['ras_status'].value_counts()\n", + "true_pos = pos_ccle_results[1]\n", + "predicted_condition_pos = pos_ccle_results.sum()\n", + "\n", + "print('{} out of {} Ras mutation predictions '\n", + " 'are true ({:.1f}%)'.format(true_pos, predicted_condition_pos,\n", + " true_pos * 100 / predicted_condition_pos))" ] }, { @@ -1895,17 +1894,15 @@ "name": "stdout", "output_type": "stream", "text": [ - "Including BRAF mutants, 209 of 344 Ras mut predicted correctly (60.8%)\n" + "510 of 737 Total cell lines predicted correctly (69.2%)\n" ] } ], "source": [ - "correct_braf = wt_ras_braf_ccle['BRAF_MUT'].value_counts()[1]\n", - "correct_pos += correct_braf\n", - "print('Including BRAF mutants'\n", - " ', {} of {} Ras mut predicted correctly ({:.1f}%)'.format(correct_pos,\n", - " total_pos,\n", - " correct_pos * 100 / total_pos))" + "total_correct = true_pos + true_neg\n", + "print('{} of {} Total cell lines '\n", + " 'predicted correctly ({:.1f}%)'.format(total_correct, ccle_full_df.shape[0],\n", + " total_correct * 100 / ccle_full_df.shape[0]))" ] }, { @@ -1914,20 +1911,48 @@ "metadata": { "collapsed": false }, + "outputs": [ + { + "data": { + "text/plain": [ + "0 135\n", + "1 56\n", + "Name: BRAF_MUT, dtype: int64" + ] + }, + "execution_count": 34, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# Of the False positives, how many are BRAF mutant?\n", + "wt_ras_braf_ccle = positive_ras_predictions_ccle[positive_ras_predictions_ccle['ras_status'] == 0]\n", + "wt_ras_braf_ccle['BRAF_MUT'].value_counts()" + ] + }, + { + "cell_type": "code", + "execution_count": 35, + "metadata": { + "collapsed": false + }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "566 of 737 Total predicted correctly (76.8%)\n" + "Including BRAF mutants, 209 of 344 Ras mutation predictions are Ras pathway activated (60.8%)\n" ] } ], "source": [ - "total_correct = correct_pos + correct_neg\n", - "print('{} of {} Total predicted correctly ({:.1f}%)'.format(total_correct,\n", - " ccle_full_df.shape[0],\n", - " total_correct * 100 / ccle_full_df.shape[0]))" + "correct_braf = wt_ras_braf_ccle['BRAF_MUT'].value_counts()[1]\n", + "true_pos += correct_braf\n", + "print('Including BRAF mutants, {} of {} Ras mutation predictions '\n", + " 'are Ras pathway activated ({:.1f}%)'.format(true_pos,\n", + " predicted_condition_pos,\n", + " true_pos * 100 / predicted_condition_pos))" ] }, { @@ -1943,7 +1968,7 @@ }, { "cell_type": "code", - "execution_count": 35, + "execution_count": 36, "metadata": { "collapsed": false }, @@ -1979,7 +2004,7 @@ " FitType\n", " EC50 (uM)\n", " IC50 (uM)\n", - " Amax\n", + " ...\n", " ActArea\n", " tissue\n", " KRAS_MUT\n", @@ -1989,6 +2014,7 @@ " ras_status\n", " weight\n", " sample_name\n", + " predictions\n", " \n", " \n", " \n", @@ -2004,7 +2030,7 @@ " Sigmoid\n", " 8.419621\n", " 8.000000\n", - " -21.366783\n", + " ...\n", " 0.36150\n", " CENTRAL NERVOUS SYSTEM\n", " 0\n", @@ -2014,6 +2040,7 @@ " 0\n", " 0.533951\n", " A172_CENTRAL_NERVOUS_SYSTEM\n", + " mutant\n", " \n", " \n", " A172_CENTRAL_NERVOUS_SYSTEM\n", @@ -2027,7 +2054,7 @@ " Constant\n", " NaN\n", " 8.000000\n", - " 2.413093\n", + " ...\n", " 0.00000\n", " CENTRAL NERVOUS SYSTEM\n", " 0\n", @@ -2037,6 +2064,7 @@ " 0\n", " 0.533951\n", " A172_CENTRAL_NERVOUS_SYSTEM\n", + " mutant\n", " \n", " \n", " A172_CENTRAL_NERVOUS_SYSTEM\n", @@ -2050,7 +2078,7 @@ " Sigmoid\n", " 0.179408\n", " 0.267499\n", - " -68.932632\n", + " ...\n", " 2.46620\n", " CENTRAL NERVOUS SYSTEM\n", " 0\n", @@ -2060,6 +2088,7 @@ " 0\n", " 0.533951\n", " A172_CENTRAL_NERVOUS_SYSTEM\n", + " mutant\n", " \n", " \n", " A172_CENTRAL_NERVOUS_SYSTEM\n", @@ -2073,7 +2102,7 @@ " Linear\n", " NaN\n", " 8.000000\n", - " -10.644121\n", + " ...\n", " 0.08666\n", " CENTRAL NERVOUS SYSTEM\n", " 0\n", @@ -2083,6 +2112,7 @@ " 0\n", " 0.533951\n", " A172_CENTRAL_NERVOUS_SYSTEM\n", + " mutant\n", " \n", " \n", " A172_CENTRAL_NERVOUS_SYSTEM\n", @@ -2096,7 +2126,7 @@ " Constant\n", " NaN\n", " 8.000000\n", - " 0.184027\n", + " ...\n", " 0.00000\n", " CENTRAL NERVOUS SYSTEM\n", " 0\n", @@ -2106,9 +2136,11 @@ " 0\n", " 0.533951\n", " A172_CENTRAL_NERVOUS_SYSTEM\n", + " mutant\n", " \n", " \n", "\n", + "

5 rows × 21 columns

\n", "" ], "text/plain": [ @@ -2147,12 +2179,12 @@ "A172_CENTRAL_NERVOUS_SYSTEM 8 Linear NaN 8.000000 \n", "A172_CENTRAL_NERVOUS_SYSTEM 8 Constant NaN 8.000000 \n", "\n", - " Amax ActArea tissue \\\n", - "A172_CENTRAL_NERVOUS_SYSTEM -21.366783 0.36150 CENTRAL NERVOUS SYSTEM \n", - "A172_CENTRAL_NERVOUS_SYSTEM 2.413093 0.00000 CENTRAL NERVOUS SYSTEM \n", - "A172_CENTRAL_NERVOUS_SYSTEM -68.932632 2.46620 CENTRAL NERVOUS SYSTEM \n", - "A172_CENTRAL_NERVOUS_SYSTEM -10.644121 0.08666 CENTRAL NERVOUS SYSTEM \n", - "A172_CENTRAL_NERVOUS_SYSTEM 0.184027 0.00000 CENTRAL NERVOUS SYSTEM \n", + " ... ActArea tissue \\\n", + "A172_CENTRAL_NERVOUS_SYSTEM ... 0.36150 CENTRAL NERVOUS SYSTEM \n", + "A172_CENTRAL_NERVOUS_SYSTEM ... 0.00000 CENTRAL NERVOUS SYSTEM \n", + "A172_CENTRAL_NERVOUS_SYSTEM ... 2.46620 CENTRAL NERVOUS SYSTEM \n", + "A172_CENTRAL_NERVOUS_SYSTEM ... 0.08666 CENTRAL NERVOUS SYSTEM \n", + "A172_CENTRAL_NERVOUS_SYSTEM ... 0.00000 CENTRAL NERVOUS SYSTEM \n", "\n", " KRAS_MUT HRAS_MUT NRAS_MUT BRAF_MUT ras_status \\\n", "A172_CENTRAL_NERVOUS_SYSTEM 0 0 0 0 0 \n", @@ -2161,15 +2193,17 @@ "A172_CENTRAL_NERVOUS_SYSTEM 0 0 0 0 0 \n", "A172_CENTRAL_NERVOUS_SYSTEM 0 0 0 0 0 \n", "\n", - " weight sample_name \n", - "A172_CENTRAL_NERVOUS_SYSTEM 0.533951 A172_CENTRAL_NERVOUS_SYSTEM \n", - "A172_CENTRAL_NERVOUS_SYSTEM 0.533951 A172_CENTRAL_NERVOUS_SYSTEM \n", - "A172_CENTRAL_NERVOUS_SYSTEM 0.533951 A172_CENTRAL_NERVOUS_SYSTEM \n", - "A172_CENTRAL_NERVOUS_SYSTEM 0.533951 A172_CENTRAL_NERVOUS_SYSTEM \n", - "A172_CENTRAL_NERVOUS_SYSTEM 0.533951 A172_CENTRAL_NERVOUS_SYSTEM " + " weight sample_name predictions \n", + "A172_CENTRAL_NERVOUS_SYSTEM 0.533951 A172_CENTRAL_NERVOUS_SYSTEM mutant \n", + "A172_CENTRAL_NERVOUS_SYSTEM 0.533951 A172_CENTRAL_NERVOUS_SYSTEM mutant \n", + "A172_CENTRAL_NERVOUS_SYSTEM 0.533951 A172_CENTRAL_NERVOUS_SYSTEM mutant \n", + "A172_CENTRAL_NERVOUS_SYSTEM 0.533951 A172_CENTRAL_NERVOUS_SYSTEM mutant \n", + "A172_CENTRAL_NERVOUS_SYSTEM 0.533951 A172_CENTRAL_NERVOUS_SYSTEM mutant \n", + "\n", + "[5 rows x 21 columns]" ] }, - "execution_count": 35, + "execution_count": 36, "metadata": {}, "output_type": "execute_result" } @@ -2186,7 +2220,7 @@ }, { "cell_type": "code", - "execution_count": 36, + "execution_count": 37, "metadata": { "collapsed": false }, @@ -2201,25 +2235,25 @@ { "data": { "text/plain": [ + "TKI258 388\n", "PF2341066 388\n", - "Topotecan 388\n", - "Nutlin-3 388\n", - "AZD0530 388\n", "Lapatinib 388\n", - "TKI258 388\n", "TAE684 388\n", + "Topotecan 388\n", + "AZD0530 388\n", + "Nutlin-3 388\n", "PD-0325901 388\n", - "17-AAG 387\n", - "Erlotinib 387\n", + "LBW242 387\n", + "Sorafenib 387\n", + "AZD6244 387\n", "Paclitaxel 387\n", + "Erlotinib 387\n", "AEW541 387\n", - "AZD6244 387\n", - "Sorafenib 387\n", "PHA-665752 387\n", - "LBW242 387\n", + "17-AAG 387\n", "Panobinostat 384\n", - "PLX4720 381\n", "ZD-6474 381\n", + "PLX4720 381\n", "L-685458 376\n", "RAF265 349\n", "PD-0332991 324\n", @@ -2228,7 +2262,7 @@ "Name: Compound, dtype: int64" ] }, - "execution_count": 36, + "execution_count": 37, "metadata": {}, "output_type": "execute_result" } @@ -2242,7 +2276,7 @@ }, { "cell_type": "code", - "execution_count": 37, + "execution_count": 38, "metadata": { "collapsed": false }, @@ -2274,7 +2308,7 @@ "Name: tissue, dtype: int64" ] }, - "execution_count": 37, + "execution_count": 38, "metadata": {}, "output_type": "execute_result" } @@ -2285,7 +2319,7 @@ }, { "cell_type": "code", - "execution_count": 38, + "execution_count": 39, "metadata": { "collapsed": false }, @@ -2303,7 +2337,7 @@ }, { "cell_type": "code", - "execution_count": 39, + "execution_count": 40, "metadata": { "collapsed": false }, @@ -2312,7 +2346,7 @@ "data": { "image/png": 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xoU2bNkpDRMgY6+CFF17g77//pkuXLlSqVImqVasya9YsbG1t0ev1GAwGJX45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\nObKysiCEQ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"text/plain": [ - "" + "" ] }, "metadata": {}, @@ -2321,10 +2355,10 @@ { "data": { "text/plain": [ - "" + "" ] }, - "execution_count": 39, + "execution_count": 40, "metadata": {}, "output_type": "execute_result" } @@ -2338,7 +2372,7 @@ }, { "cell_type": "code", - "execution_count": 40, + "execution_count": 41, "metadata": { "collapsed": true }, diff --git a/scripts/ras_variants_oncogenicity_score.ipynb b/scripts/ras_variants_oncogenicity_score.ipynb index 5694f9f..132c7b0 100644 --- a/scripts/ras_variants_oncogenicity_score.ipynb +++ b/scripts/ras_variants_oncogenicity_score.ipynb @@ -610,6 +610,180 @@ " for t_ in t_test_results:\n", " onco_writer.writerow(t_)" ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Investigate cooccurrence of Ras mutations with TP53 and SUZ12" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "metadata": { + "collapsed": false + }, + "outputs": [], + "source": [ + "mut_file = os.path.join('..', 'data', 'pancan_mutation_freeze.tsv')\n", + "mutation_df = pd.read_table(mut_file, index_col=0)" + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [ + "genes = ['TP53', 'SUZ12']\n", + "y = mutation_df[genes]" + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "metadata": { + "collapsed": false + }, + "outputs": [], + "source": [ + "plot_df = y.merge(ras_pathway_scores_df, left_index=True, right_index=True)" + ] + }, + { + "cell_type": "code", + "execution_count": 16, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [ + "def plot_ras_score(df, alt_gene):\n", + " ax = sns.boxplot(x=\"total_status\", y=\"weight\", data=plot_df,\n", + " hue=alt_gene, palette = {0: \"whitesmoke\", 1: 'gainsboro'},\n", + " fliersize=0)\n", + " ax = sns.stripplot(x='total_status', y='weight', hue=alt_gene,\n", + " data=plot_df, \n", + " dodge=True, edgecolor='gray',\n", + " palette = {1: \"seagreen\", 0: 'goldenrod'},\n", + " jitter=0.25, size=2, alpha=0.65)\n", + " handles, labels = ax.get_legend_handles_labels()\n", + " l = plt.legend(handles[2:4], ['Wild-Type', 'Mutant'], bbox_to_anchor=(.63, 0.2), loc=2, borderaxespad=0.)\n", + " l.set_title(alt_gene)\n", + " ax.axes.set_ylim(0, 1.3)\n", + " ax.set_yticklabels([0, 0.2, 0.4, 0.6, 0.8, 1, ''])\n", + " ax.set_xticklabels(['Ras WT', 'Ras Mutant'])\n", + " ax.set_ylabel('Ras Classifier Score')\n", + " ax.set_xlabel('Ras Status')\n", + " ax.legend\n", + " plt.axhline(0.5, color='black', linestyle='dashed', linewidth=1)\n", + " \n", + " # Ras mutant vs. Ras wildtype\n", + " ras_mutant = plot_df[plot_df['total_status'] == 1]\n", + " ras_wt = plot_df[plot_df['total_status'] == 0]\n", + "\n", + " # Also interested in alt_gene status within Ras mutant samples\n", + " alt_gene_mutant = ras_mutant[ras_mutant[alt_gene] == 1]\n", + " alt_gene_wt = ras_mutant[ras_mutant[alt_gene] == 0]\n", + "\n", + " # Also interested in alt_gene status within Ras wildtype samples\n", + " alt_gene_mutant_raswt = ras_wt[ras_wt[alt_gene] == 1]\n", + " alt_gene_wt_raswt = ras_wt[ras_wt[alt_gene] == 0]\n", + " \n", + " # Output t-test results\n", + " t_results_ras = ttest_ind(a = ras_mutant['weight'],\n", + " b = ras_wt['weight'], equal_var = False)\n", + "\n", + " t_results_alt = ttest_ind(a = alt_gene_mutant['weight'],\n", + " b = alt_gene_wt['weight'], equal_var = False)\n", + " \n", + " t_results_alt_raswt = ttest_ind(a = alt_gene_mutant_raswt['weight'],\n", + " b = alt_gene_wt_raswt['weight'], equal_var = False)\n", + " \n", + " # Add Ras T-Test Results\n", + " plt.plot([x1, x1, x2, x2], [y1, y1+h, y1+h, y1], lw=1.2, c='black')\n", + " plt.text(.5, y1+h, t_results_ras.pvalue,\n", + " ha='center', va='bottom', color=\"black\")\n", + "\n", + " # Add alt_gene mut t-test results\n", + " plt.plot([x3, x3, x4, x4], [y2, y2+h, y2+h, y2], lw=1.2, c='black')\n", + " plt.text(0, y2+h, \"{:.2E}\".format(Decimal(t_results_alt_raswt.pvalue)),\n", + " ha='center', va='bottom', color=\"black\")\n", + " \n", + " # Add alt_gene wild-type t-test results\n", + " plt.plot([x5, x5, x6, x6], [y2, y2+h, y2+h, y2], lw=1.2, c='black')\n", + " plt.text(1, y2+h, \"{:.2E}\".format(Decimal(t_results_alt.pvalue)),\n", + " ha='center', va='bottom', color=\"black\")\n", + " plt.tight_layout()" + ] + }, + { + "cell_type": "code", + "execution_count": 17, + "metadata": { + "collapsed": false + }, + "outputs": [], + "source": [ + "# Plot Results\n", + "x1, x2 = 0, 1\n", + "x3, x4 = -0.2, 0.2\n", + "x5, x6 = 0.8, 1.2\n", + "y1, y2, h = 1.17, 1, 0.03\n", + "plt.rcParams['figure.figsize']=(3.5, 4)" + ] + }, + { + "cell_type": "code", + "execution_count": 18, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "image/png": 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haPC6Uoc15TRMcQMJVxUgmeNwDTg1nO7dbndjiVMAEfGCIQ7UuqZGmorQGmoW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S+99BJ9+vTB19cXPz8/dfm4uDjCwsJYtWoVgYGBT3z/goIC/Pz8CAgIYPXq1U9s70VFcOAWYM6c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\nQSoF2VWc/QAAAABJRU5ErkJggg==\n", + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "plot_ras_score(plot_df, 'SUZ12')\n", + "base_path = os.path.join('..', 'classifiers', 'RAS', 'figures')\n", + "fig_file = os.path.join(base_path, 'suz12_cooccurence.png')\n", + "plt.savefig(fig_file)" + ] + }, + { + "cell_type": "code", + "execution_count": 19, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "image/png": 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N6emGUTs+gsmOIJoQMJCcuXFFkMzIvoNgNO8dIMXHVvKAXAl6GAMBJAfWzGnE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SiGAVHPTgTRhJzQi6h7G1rNakRLOqiB2FaHZMKWGZ8QWrojGU3X0Q2dYDTMtpp9nNKjPx9vWcqO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\n", + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "plot_ras_score(plot_df, 'TP53')\n", + "fig_file = os.path.join(base_path, 'tp53_cooccurence.png')\n", + "plt.savefig(fig_file)" + ] } ], "metadata": {