Looking at this code in feature_select.py
code location here
# iteratively passing normalized data
for norm_data, feature_file_out in io_files:
feature_selection(
normalized_profile=norm_data,
out_file=feature_file_out,
config=config_path,
log_file=log_path,
)
In addition, the feature_select.smk module also takes in a list of profiles, therefore removing snakemake parallelization here
It would be best to remove the for loop and take advantage of snakemake's parallelization.
Looking at this code in
feature_select.pycode location here
In addition, the
feature_select.smkmodule also takes in a list of profiles, therefore removingsnakemakeparallelization hereIt would be best to remove the for loop and take advantage of
snakemake's parallelization.