cellink.at.acat_test

cellink.at.acat_test(pvalues, tolerance=1e-16, weights=None)

Perform the Aggregated Cauchy Association Test (ACAT) to combine p-values.

ACAT is a fast and robust method for combining possibly dependent p-values, using properties of the Cauchy distribution. It is especially effective when only a subset of the input p-values are small. Inspired by: yaowuliu/ACAT

Parameters:

• pvalues (np.ndarray or list of float) – The p-values to combine. Must be in the range [0, 1]. NaN values are ignored.

• tolerance (float, optional) – A lower bound for p-values to ensure numerical stability. Values below this threshold are clipped to tolerance. Default is 1e-16.

• weights (np.ndarray or list of float, optional) – Non-negative weights for each p-value. If None, equal weights are used.

Return type:

float

Returns:

float The ACAT-combined p-value.