The rank product method with two samples.
Breitling et al. (2004) 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 extend the rank product method to the two sample setting, provide distribution theory attending the rank product method in this setting, and give numerical details for implementing the method.
Koziol
James A
JA
Department of Molecular and Experimental Medicine, The Scripps Research Institute, La Jolla, CA 92037, USA. koziol@scripps.edu
D020869:Gene Expression Profiling / Q000379:methods*; D016014:Linear Models; D020411:Oligonucleotide Array Sequence Analysis / Q000379:methods*; D011336:Probability; D013223:Statistics as Topic / Q000379:methods*