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Published in

De Gruyter, Statistical Applications in Genetics and Molecular Biology, 1(4), 2005

DOI: 10.2202/1544-6115.1093

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Generalized Rank Tests for Replicated Microarray Data

Journal article published in 2005 by Mei-Ling Ting Lee, Robert J. Gray, Harry Björkbacka ORCID, Mason W. Freeman
This paper was not found in any repository, but could be made available legally by the author.
This paper was not found in any repository, but could be made available legally by the author.

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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.