Generalized Rank Tests for Replicated Microarray Data

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

Statistical Applications in Genetics and Molecular Biology, 2005, vol. 4, issue 1, 28

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.

Keywords: rank tests; permutation tests; blocked comparisons (search for similar items in EconPapers)
Date: 2005
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Citations: View citations in EconPapers (2)

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DOI: 10.2202/1544-6115.1093

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