Compute 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)

Arguments

m

the mash fit

factor

a number between 0 and 1 - the factor within which effects are considered to be shared.

lfsr_thresh

the lfsr threshold for including an effect in the assessment

FUN

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.

Details

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.

Examples

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
}