title: Comments on the rank product method for analyzing replicated experiments.
abstract: Breitling et al. introduced a statistical technique, the rank product method, for detecting differentially regulated genes in replicated microarray experiments. The technique has achieved widespread acceptance and is now used more broadly, in such diverse fields as RNAi analysis, proteomics, and machine learning. In this note, we relate the rank product method to linear rank statistics and provide an alternative derivation of distribution theory attending the rank product method.
authors.affiliation: Department of Molecular and Experimental Medicine, The Scripps Research Institute, MEM216, 10550 N Torrey Pines Rd, La Jolla, CA 92037, USA. koziol@scripps.edu
authors.forename: James A
authors.initials: JA
authors.lastname: Koziol
mesh_terms: D015233:Models, Statistical; D020411:Oligonucleotide Array Sequence Analysis / Q000379:methods