The rank product method with two samples.

FEBS Lett

Department of Molecular and Experimental Medicine, The Scripps Research Institute, La Jolla, CA 92037, USA.

Published: November 2010

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.

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http://www.ncbi.nlm.nih.gov/pmc/articles/PMC2975561PMC
http://dx.doi.org/10.1016/j.febslet.2010.10.012DOI Listing

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