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{
"cells": [
{
"cell_type": "code",
"execution_count": 1,
"id": "f6e2bc47",
"metadata": {
"execution": {
"iopub.execute_input": "2025-03-25T06:31:20.250310Z",
"iopub.status.busy": "2025-03-25T06:31:20.250128Z",
"iopub.status.idle": "2025-03-25T06:31:20.411951Z",
"shell.execute_reply": "2025-03-25T06:31:20.411520Z"
}
},
"outputs": [],
"source": [
"import sys\n",
"import os\n",
"sys.path.append(os.path.abspath(os.path.join(os.getcwd(), '../..')))\n",
"\n",
"# Path Configuration\n",
"from tools.preprocess import *\n",
"\n",
"# Processing context\n",
"trait = \"Anorexia_Nervosa\"\n",
"\n",
"# Input paths\n",
"tcga_root_dir = \"../../input/TCGA\"\n",
"\n",
"# Output paths\n",
"out_data_file = \"../../output/preprocess/Anorexia_Nervosa/TCGA.csv\"\n",
"out_gene_data_file = \"../../output/preprocess/Anorexia_Nervosa/gene_data/TCGA.csv\"\n",
"out_clinical_data_file = \"../../output/preprocess/Anorexia_Nervosa/clinical_data/TCGA.csv\"\n",
"json_path = \"../../output/preprocess/Anorexia_Nervosa/cohort_info.json\"\n"
]
},
{
"cell_type": "markdown",
"id": "f85cb9d8",
"metadata": {},
"source": [
"### Step 1: Initial Data Loading"
]
},
{
"cell_type": "code",
"execution_count": 2,
"id": "e0a1415c",
"metadata": {
"execution": {
"iopub.execute_input": "2025-03-25T06:31:20.413391Z",
"iopub.status.busy": "2025-03-25T06:31:20.413238Z",
"iopub.status.idle": "2025-03-25T06:31:20.433057Z",
"shell.execute_reply": "2025-03-25T06:31:20.432729Z"
}
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Looking for a relevant cohort directory for Anorexia_Nervosa...\n",
"Available cohorts: ['TCGA_Liver_Cancer_(LIHC)', 'TCGA_Lower_Grade_Glioma_(LGG)', 'TCGA_lower_grade_glioma_and_glioblastoma_(GBMLGG)', 'TCGA_Lung_Adenocarcinoma_(LUAD)', 'TCGA_Lung_Cancer_(LUNG)', 'TCGA_Lung_Squamous_Cell_Carcinoma_(LUSC)', 'TCGA_Melanoma_(SKCM)', 'TCGA_Mesothelioma_(MESO)', 'TCGA_Ocular_melanomas_(UVM)', 'TCGA_Ovarian_Cancer_(OV)', 'TCGA_Pancreatic_Cancer_(PAAD)', 'TCGA_Pheochromocytoma_Paraganglioma_(PCPG)', 'TCGA_Prostate_Cancer_(PRAD)', 'TCGA_Rectal_Cancer_(READ)', 'TCGA_Sarcoma_(SARC)', 'TCGA_Stomach_Cancer_(STAD)', 'TCGA_Testicular_Cancer_(TGCT)', 'TCGA_Thymoma_(THYM)', 'TCGA_Thyroid_Cancer_(THCA)', 'TCGA_Uterine_Carcinosarcoma_(UCS)', '.DS_Store', 'CrawlData.ipynb', 'TCGA_Acute_Myeloid_Leukemia_(LAML)', 'TCGA_Adrenocortical_Cancer_(ACC)', 'TCGA_Bile_Duct_Cancer_(CHOL)', 'TCGA_Bladder_Cancer_(BLCA)', 'TCGA_Breast_Cancer_(BRCA)', 'TCGA_Cervical_Cancer_(CESC)', 'TCGA_Colon_and_Rectal_Cancer_(COADREAD)', 'TCGA_Colon_Cancer_(COAD)', 'TCGA_Endometrioid_Cancer_(UCEC)', 'TCGA_Esophageal_Cancer_(ESCA)', 'TCGA_Glioblastoma_(GBM)', 'TCGA_Head_and_Neck_Cancer_(HNSC)', 'TCGA_Kidney_Chromophobe_(KICH)', 'TCGA_Kidney_Clear_Cell_Carcinoma_(KIRC)', 'TCGA_Kidney_Papillary_Cell_Carcinoma_(KIRP)', 'TCGA_Large_Bcell_Lymphoma_(DLBC)']\n",
"No suitable directory found for Anorexia_Nervosa. This is an autoimmune condition, not a cancer type.\n",
"TCGA dataset contains cancer cohorts, which are not relevant for this trait.\n",
"Skipping this trait and marking the task as completed.\n"
]
},
{
"data": {
"text/plain": [
"False"
]
},
"execution_count": 2,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"import os\n",
"\n",
"# Check if there's a suitable cohort directory for Psoriatic Arthritis\n",
"print(f\"Looking for a relevant cohort directory for {trait}...\")\n",
"\n",
"# Check available cohorts\n",
"available_dirs = os.listdir(tcga_root_dir)\n",
"print(f\"Available cohorts: {available_dirs}\")\n",
"\n",
"# Psoriatic arthritis is an autoimmune inflammatory condition that affects both joints and skin\n",
"# The TCGA dataset is focused on cancer cohorts, not autoimmune conditions\n",
"# After reviewing the available directories, there is no appropriate match for psoriatic arthritis\n",
"\n",
"print(f\"No suitable directory found for {trait}. This is an autoimmune condition, not a cancer type.\")\n",
"print(\"TCGA dataset contains cancer cohorts, which are not relevant for this trait.\")\n",
"print(\"Skipping this trait and marking the task as completed.\")\n",
"\n",
"# Mark the task as completed by recording the unavailability in the cohort_info.json file\n",
"validate_and_save_cohort_info(\n",
" is_final=False,\n",
" cohort=\"TCGA\",\n",
" info_path=json_path,\n",
" is_gene_available=False,\n",
" is_trait_available=False\n",
")"
]
}
],
"metadata": {
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.10.16"
}
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"nbformat": 4,
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