get_pairwise_sharing.RdCompute the proportion of (significant) signals shared by magnitude in each pair of conditions, based on the poterior mean
get_pairwise_sharing(m, factor = 0.5, lfsr_thresh = 0.05, FUN = identity)the mash fit
a number between 0 and 1 - the factor within which effects are considered to be shared.
the lfsr threshold for including an effect in the assessment
a function to be applied to the estimated effect sizes before assessing sharing. The most obvious choice beside the default 'FUN=identity' would be 'FUN=abs' if you want to ignore the sign of the effects when assesing sharing.
For each pair of tissues, first identify the effects that are
significant (by lfsr<lfsr_thresh) in at least one of the two tissues.
Then compute what fraction of these have an estimated (posterior mean)
effect size within a factor factor of one another. The results are
returned as an R by R matrix.
if (FALSE) {
get_pairwise_sharing(m) # sharing by magnitude (same sign)
get_pairwise_sharing(m, factor=0) # sharing by sign
get_pairwise_sharing(m, FUN=abs) # sharing by magnitude when sign is ignored
}