regvelo.metrics.abundance_test

regvelo.metrics.abundance_test(prob_raw, prob_pert, method='likelihood')

Perform an abundance test comparing cell fate probabilities between raw and perturbed datasets.

Parameters:

• prob_raw (DataFrame) – DataFrame containing fate probabilities from the original (unperturbed) data.

• prob_pert (DataFrame) – DataFrame containing fate probabilities from the perturbed data.

• method (Literal['likelihood', 't-statistics']) –

  Scoring method to use:

  • ”t-statistics” (uses t-statistics),

  • ”likelihood” (uses ROC AUC).

Return type:

DataFrame

Returns:

: DataFrame containing:

• ”coefficient” (test statistic or ROC AUC score),

• ”p-value” (unadjusted p-value),

• ”FDR adjusted p-value” (Benjamini-Hochberg corrected p-value).