Testing significance relative to a fold-change threshold is a TREAT
Davis J McCarthy, Gordon K Smyth
BIOINFORMATICS | OXFORD UNIV PRESS | Published : 2009
MOTIVATION: Statistical methods are used to test for the differential expression of genes in microarray experiments. The most widely used methods successfully test whether the true differential expression is different from zero, but give no assurance that the differences found are large enough to be biologically meaningful. RESULTS: We present a method, t-tests relative to a threshold (TREAT), that allows researchers to test formally the hypothesis (with associated p-values) that the differential expression in a microarray experiment is greater than a given (biologically meaningful) threshold. We have evaluated the method using simulated data, a dataset from a quality control experiment for ..View full abstract
Awarded by NHMRC
Awarded by NHMRC IRIISS
NHMRC Program (grant 406657 to D.J.M. and G. K. S.); NHMRC IRIISS (grant 361646 to D.J.M. and G. K. S.); Victorian State Government OIS grant.