Kg5 | Da File

return feature_df

for index, row in kg5_data.iterrows(): gene_product_id = row['gene_product_id'] go_term_id = row['go_term_id'] kg5 da file

if gene_product_id not in gene_product_features: gene_product_features[gene_product_id] = [] return feature_df for index, row in kg5_data

# Further processing to create binary or count features # ... return feature_df for index