Literature DB >> 16646848

Generalized rank tests for replicated microarray data.

Mei-Ling Ting Lee1, Robert J Gray, Harry Björkbacka, Mason W Freeman.   

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.

Year:  2005        PMID: 16646848     DOI: 10.2202/1544-6115.1093

Source DB:  PubMed          Journal:  Stat Appl Genet Mol Biol        ISSN: 1544-6115


  2 in total

Review 1.  Utility of correlation measures in analysis of gene expression.

Authors:  Anthony Almudevar; Lev B Klebanov; Xing Qiu; Peter Salzman; Andrei Y Yakovlev
Journal:  NeuroRx       Date:  2006-07

2.  The L1-version of the Cramér-von Mises test for two-sample comparisons in microarray data analysis.

Authors:  Yuanhui Xiao; Alexander Gordon; Andrei Yakovlev
Journal:  EURASIP J Bioinform Syst Biol       Date:  2006
  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.