hucira.check_robustness

hucira.check_robustness#

hucira.check_robustness(all_results, threshold_qval=0.1, threshold_valid=0.1, threshold_below_alpha=0.9)#

Filter for robust and significant results out of original enrichments.

Returns only the enrichments that are stable across many different tests and that are statistically significant.

Parameters:

  • all_results (pandas.DataFrame) – The DataFrame output from run_one_enrichment_test().

  • threshold_qval (float) – Threshold that checks significance of results (leniently). Result is considered significant if its q-val is below this threshold.

  • threshold_valid (float) – The fraction of results required to even consider this condition. I.e. if the test only ran for one set of thresholds, then it is not very robust.

  • threshold_below_alpha (float) – The fraction of results that need to be significant.

Return type:

DataFrame

Returns:

pandas.DataFrame DataFrame with robust and significant enrichments (includes min and max of NES).

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