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Comparative Statistic Module (CSM) for Significant Gene Selection  

Kim, Young-Jin (Division of Epidemiology and Bioinformatics, National Genome Research Institute, National Institute of Health)
Kim, Hyo-Mi (Division of Epidemiology and Bioinformatics, National Genome Research Institute, National Institute of Health)
Kim, Sang-Bae (Division of Epidemiology and Bioinformatics, National Genome Research Institute, National Institute of Health)
Park, Chan (Division of Epidemiology and Bioinformatics, National Genome Research Institute, National Institute of Health)
Kimm, Kuchan (Division of Epidemiology and Bioinformatics, National Genome Research Institute, National Institute of Health)
Koh, InSong (Division of Epidemiology and Bioinformatics, National Genome Research Institute, National Institute of Health)
Publication Information
Genomics & Informatics / v.2, no.4, 2004 , pp. 180-183 More about this Journal
Abstract
Comparative Statistic Module(CSM) provides more reliable list of significant genes to genomics researchers by offering the commonly selected genes and a method of choice by calculating the rank of each statistical test based on the average ranking of common genes across the five statistical methods, i.e. t-test, Kruskal-Wallis (Wilcoxon signed rank) test, SAM, two sample multiple test, and Empirical Bayesian test. This statistical analysis module is implemented in Perl, and R languages.
Keywords
data analysis; gene expression; microarray; significant gene selection; statistic module;
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