Generalized Rank Tests for Replicated Microarray Data

Mei-Ling Ting Lee, Brigham & Woman's Hospital and Harvard Medical School, Boston, MA USA
Robert J. Gray, Dana Farber Cancer Institute and Harvard School of Public Health, Boston, MA USA
Harry Björkbacka, Wallenberg laboratory, University Hospital MAS, Lund University, Sweden
Mason W. Freeman, Massachusetts General Hospital and Harvard Medical School, Boston, MA USA

Abstract

Gene expression data from microarray experiments have been studied using several statistical models. Significance Analysis of Microarrays (SAM), for example, has proved to be useful in analyzing microarray data. In the spirit of the SAM procedures, we develop permutation based rank-tests for generalized Wilcoxon ranksum test for two-group comparisons of replicated microarray data. Also, for microarray experiments with randomized block design, we consider generalized signed rank test. The statistical analysis software package is written in R and is freely available in a package.

Submitted: September 9, 2004 · Accepted: December 31, 2004 · Published: January 28, 2005

Recommended Citation

Lee, Mei-Ling Ting; Gray, Robert J.; Björkbacka, Harry; and Freeman, Mason W. (2005) "Generalized Rank Tests for Replicated Microarray Data," Statistical Applications in Genetics and Molecular Biology: Vol. 4 : Iss. 1, Article 3.
Available at: http://www.bepress.com/sagmb/vol4/iss1/art3

 
 
 
 

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