Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
2048815 | FEBS Letters | 2010 | 4 Pages |
Abstract
Breitling et al. (2004) [1] 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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Authors
James A. Koziol,