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# Path Configuration
from tools.preprocess import *
# Processing context
trait = "Atrial_Fibrillation"
# Input paths
tcga_root_dir = "../DATA/TCGA"
# Output paths
out_data_file = "./output/preprocess/1/Atrial_Fibrillation/TCGA.csv"
out_gene_data_file = "./output/preprocess/1/Atrial_Fibrillation/gene_data/TCGA.csv"
out_clinical_data_file = "./output/preprocess/1/Atrial_Fibrillation/clinical_data/TCGA.csv"
json_path = "./output/preprocess/1/Atrial_Fibrillation/cohort_info.json"
import os
# Step 1: Check directories in tcga_root_dir for anything relevant to "Atrial_Fibrillation"
dir_list = os.listdir(tcga_root_dir)
matching_dir = None
# We'll perform a simple match check (case-insensitive)
# If we had any subdirectory name containing "atrial" or "fibrillation", we would choose it.
for d in dir_list:
if "atrial" in d.lower() or "fibrillation" in d.lower():
matching_dir = d
break
# If no suitable directory is found, mark trait as skipped
if matching_dir is None:
validate_and_save_cohort_info(
is_final=False,
cohort="TCGA",
info_path=json_path,
is_gene_available=False,
is_trait_available=False
)
else:
# Normally we'd proceed with file loading, but per instructions,
# no directory matches the trait. Thus this block won't execute.
pass |