Comments on the rank product method for analyzing replicated experiments
Author:
Publisher
Wiley
Subject
Cell Biology,Genetics,Molecular Biology,Biochemistry,Structural Biology,Biophysics
Link
http://onlinelibrary.wiley.com/wol1/doi/10.1016/j.febslet.2010.01.031/fullpdf
Reference14 articles.
1. Rank products: a simple, yet powerful, new method to detect differentially regulated genes in replicated microarray experiments;Breitling;FEBS Lett.,2004
2. Rank-based methods as a non-parametric alternative of the t-test for the analysis of biological microarray data;Breitling;J. Bioinform. Comput. Biol.,2005
3. RankProd: a bioconductor package for detecting differentially expressed genes in meta-analysis;Hong;Bioinformatics,2006
4. Comparison and evaluation of methods for generating differentially expressed gene lists from microarray data;Jeffrey;BMC Bioinformatics,2006
5. A comparison of meta-analysis methods for detecting differentially expressed genes in microarray experiments;Hong;Bioinformatics,2008
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