Test Co-association Significance Between Cell States

This function evaluates the statistical significance of co-association of cell states within each SE. It computes within-SE average association scores and compares them to a null distribution generated by permutation. Diagonal values are ignored if they are all equal to 1 or NA.

Usage

CoassociationTest(mat, nperm = 1000)

Arguments

mat

A numeric matrix of co-association or colocalization indices between states. Row and column names should encode cell state labels (e.g. SE1_CD4T).

nperm

Integer. Number of permutations used to estimate the null distribution. Default is 1000.

Value

A named numeric vector of two-sided P-values for each SE, representing the significance of within-SE co-association.