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Generalized Rank Tests for Replicated Microarray Data

Author

Listed:
  • 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)

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.

Suggested Citation

  • Lee Mei-Ling Ting & Gray Robert J & Björkbacka Harry & Freeman Mason W, 2005. "Generalized Rank Tests for Replicated Microarray Data," Statistical Applications in Genetics and Molecular Biology, De Gruyter, vol. 4(1), pages 1-28, January.
    • Handle: RePEc:bpj:sagmbi:v:4:y:2005:i:1:n:3
    DOI: 10.2202/1544-6115.1093
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    Cited by:

    1. repec:jss:jstsof:17:i08 is not listed on IDEAS
    2. Xiao, YuanHai & Gordon, Alexander & Yakovlev, Andrei, 2006. "A C++ Program for the Cramér-Von Mises Two-Sample Test," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 17(i08).
    3. Klebanov, L. & Gordon, A. & Xiao, Y. & Land, H. & Yakovlev, A., 2006. "A permutation test motivated by microarray data analysis," Computational Statistics & Data Analysis, Elsevier, vol. 50(12), pages 3619-3628, August.

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