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author | Alexander Kabui | 2021-04-20 01:46:45 +0300 |
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committer | Alexander Kabui | 2021-04-20 01:46:45 +0300 |
commit | f0ccff2a90d760fc0b268e715e0c6c673ff64e15 (patch) | |
tree | 7a30d05deaf59ecf9326f167b4b7875ee36b995c /gn3 | |
parent | 61ec8882abaea2e1ad4c88daabcc1969a76230dc (diff) | |
download | genenetwork3-f0ccff2a90d760fc0b268e715e0c6c673ff64e15.tar.gz |
pep8 formatting
Diffstat (limited to 'gn3')
-rw-r--r-- | gn3/computations/correlations.py | 6 |
1 files changed, 1 insertions, 5 deletions
diff --git a/gn3/computations/correlations.py b/gn3/computations/correlations.py index 66a2034..4432971 100644 --- a/gn3/computations/correlations.py +++ b/gn3/computations/correlations.py @@ -449,13 +449,11 @@ def experimental_compute_all_tissue_correlation(primary_tissue_dict: dict, processed_values = [] for target_tissue_obj in target_tissues_list: - trait_id = target_tissue_obj.get("trait_id") target_tissue_vals = target_tissue_obj.get("tissue_values") processed_values.append( (primary_tissue_vals, target_tissue_vals, corr_method)) - tissue_results = [] with multiprocessing.Pool() as pool: results = pool.starmap( tissue_correlation_for_trait_list, processed_values) @@ -471,8 +469,6 @@ def experimental_compute_all_tissue_correlation(primary_tissue_dict: dict, # tissue_result_dict = {trait_id: tissue_result} # tissues_results.append(tissue_result_dict) - sorted_tissues_results = sorted( + return sorted( tissues_results, key=lambda trait_name: -abs(list(trait_name.values())[0]["tissue_corr"])) - - return sorted_tissues_results |