stat.ranksum: Compute association between gene sets/modules across tissues

In vdumeaux/mixtR: Matched Interaction across Tissues (MIxT) data analysis

Description

Interactions between modules across tissues are identified using a random permutation approach based on the correlation between ranksums of gene expression in gene sets/modules across tissues.

Usage

stat.ranksum(mixt.ranksum, tissue1, tissue2, corType = "p", nRuns = 10000,
  randomSeed = 12345, mc.cores = 2, verbose = 2)

Arguments

mixt.ranksum	output of sig.ranksum()
tissue1	name of the first tissue the test is performed for. should be a valid name of mixt.ranksum
tissue2	name of second tissue the test is performed for. should be a valid name of mixt.ranksum.
corType	a character string indicating which correlation coefficient is to be computed. Default 'p' for pearson
nRuns	number of permutations
randomSeed	seed number for random number generation. Default set as '1234'
mc.cores	number of cores
verbose	numerical. default > 0 show informational text on progress

vdumeaux/mixtR documentation built on May 3, 2019, 4:58 p.m.