Genomics & Informatics

Korea Genome Organization (한국유전체학회)
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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)
  • Published : 2004.12.01
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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

References

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