{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "# Use Case 2: Comparing Clinical Attributes" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Step 1: Importing packages and setting up your notebook.\n", "\n", "This use case will guide you through accessing and manipulating data from the clinical dataframe. We will explore how to retrieve clinical data, select variables for analysis, and represent interactions between those variables in a meaningful way. We will use endometrial cancer data from the CPTAC to will compare FIGO stage--a common measurement of uterine cancer stage (see the [NIH](https://www.cancer.org/cancer/endometrial-cancer/detection-diagnosis-staging/staging.html) for more information)--with BMI to see if there is any correlation.\n", "\n", "We will start by importing the standard data analysis libraries, plus the seaborn library for visualization." ] }, { "cell_type": "code", "execution_count": 1, "metadata": { "scrolled": true }, "outputs": [], "source": [ "import pandas as pd\n", "import matplotlib.pyplot as plt\n", "import seaborn as sns" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Our cancer data and a variety of accessory functions are provided in the cptac package." ] }, { "cell_type": "code", "execution_count": 2, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ " \r" ] } ], "source": [ "import cptac\n", "cptac.download(dataset=\"endometrial\", version=\"latest\")\n", "en = cptac.Endometrial()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Step 2: Getting data\n", "\n", "We load the dataframe for clinical results by calling the `en.get_clinical()` method. We can then select the data for the variables we are interested in from the dataframe. To see what clinical attributes are available for analysis, we will print out the column names in the clinical dataframe." ] }, { "cell_type": "code", "execution_count": 3, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Index(['Sample_ID', 'Sample_Tumor_Normal', 'Proteomics_Tumor_Normal',\n", " 'Country', 'Histologic_Grade_FIGO', 'Myometrial_invasion_Specify',\n", " 'Histologic_type', 'Treatment_naive', 'Tumor_purity',\n", " 'Path_Stage_Primary_Tumor-pT', 'Path_Stage_Reg_Lymph_Nodes-pN',\n", " 'Clin_Stage_Dist_Mets-cM', 'Path_Stage_Dist_Mets-pM',\n", " 'tumor_Stage-Pathological', 'FIGO_stage', 'LVSI', 'BMI', 'Age',\n", " 'Diabetes', 'Race', 'Ethnicity', 'Gender', 'Tumor_Site',\n", " 'Tumor_Site_Other', 'Tumor_Focality', 'Tumor_Size_cm',\n", " 'Num_full_term_pregnancies'],\n", " dtype='object', name='Name')\n" ] } ], "source": [ "clinical_data = en.get_clinical()\n", "print(clinical_data.columns)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "You can get definitions for terms in the dataset by calling the `en.define` method. If you need more information, searching the term online can be helpful. The `en.search` function will open a webpage with the search results for the specified term." ] }, { "cell_type": "code", "execution_count": 4, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Categorical classification of FIGO state (I being less severe, IV being more severe)\n", "BMI (body mass index) of specified patient.\n" ] } ], "source": [ "en.define(term='FIGO_stage')\n", "en.define(term='BMI')\n", "# cptac.utils.search('FIGO_stage') will open a browser search for FIGO_stage" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Step 3: Organizing the data\n", "\n", "For this use case, we are only interested in FIGO stage and BMI.\n", "\n", "For the purposes of this example, we want to simplify the FIGO stages to remove the subcategories. The following section of code creates a function to sort stages into simple categories and adds a new column to the dataframe with the simplified FIGO stage." ] }, { "cell_type": "code", "execution_count": 5, "metadata": {}, "outputs": [], "source": [ "def simplify_FIGO(row):\n", " if row['FIGO_stage'] == 'IA':\n", " return 'I'\n", " elif row['FIGO_stage'] == 'IB':\n", " return 'I'\n", " elif row['FIGO_stage'] == 'II':\n", " return 'II'\n", " elif row['FIGO_stage'] == 'IIIA':\n", " return 'III'\n", " elif row['FIGO_stage'] == 'IIIB':\n", " return 'III'\n", " elif row['FIGO_stage'] == 'IIIC1':\n", " return 'III'\n", " elif row['FIGO_stage'] == 'IIIC2':\n", " return 'III'\n", " elif row['FIGO_stage'] == 'IVB':\n", " return 'IV'\n", " else:\n", " return row['FIGO_stage'] \n", "\n", "#axis=1 means that we are working with rows. (axis=0 means columns)\n", "clinical_data['simple_FIGO'] = clinical_data.apply(simplify_FIGO, axis=1)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Step 4: Plot the data\n", "\n", "FIGO stage is categorical and BMI is continuous, so we can use a histogram to see the distribution of the patient's BMI separated by cancer stage." ] }, { "cell_type": "code", "execution_count": 6, "metadata": {}, "outputs": [ { "data": { "image/png": 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\n", 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "sns.displot(clinical_data, x=\"BMI\", hue=\"simple_FIGO\", kind=\"kde\", common_norm=False, bw_adjust=.7)\n", "\n", "plt.show()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Another way of viewing this same data is a boxplot. In this example, we add a strip plot over the box plot to visualize each datapoint on top of the boxplot." ] }, { "cell_type": "code", "execution_count": 7, "metadata": {}, "outputs": [ { "data": { "image/png": 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\n", 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "figoStrip = sns.boxplot(data=clinical_data, x=\"simple_FIGO\", y=\"BMI\", showfliers=False)\n", "figoStrip = sns.stripplot(data=clinical_data, x=\"simple_FIGO\", y=\"BMI\", jitter=True, color=\".3\")\n", "figoStrip.set(xlabel = \"FIGO stage\")\n", "plt.show()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Step 5: Plot other data\n", "\n", "The same technique will work for visualizing any other variables in this dataset. As another example, we will create a similar histogram and boxplot to examine the BMI of research subjects compared to diagnosis of diabetes. Once again, we select the variables of interest from the clinical dataframe, then plot the resulting dataframe using the seaborn package." ] }, { "cell_type": "code", "execution_count": 8, "metadata": {}, "outputs": [ { "data": { "image/png": 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\n", 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\n", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "diabetes_bmi = clinical_data[['Diabetes', 'BMI']]\n", "\n", "#generate histogram\n", "sns.displot(diabetes_bmi[diabetes_bmi.Diabetes != \"Unknown\"], x=\"BMI\", hue=\"Diabetes\", kind=\"kde\", common_norm=False)\n", "plt.show()\n", "\n", "#generate boxplot \n", "diabetes_plot = sns.boxplot(data=diabetes_bmi, x=\"Diabetes\", y=\"BMI\", showfliers=False)\n", "diabetes_plot = sns.stripplot(data=diabetes_bmi, x=\"Diabetes\", y=\"BMI\", jitter=True, color=\".3\")\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": "3.9.6" } }, "nbformat": 4, "nbformat_minor": 4 }