Comparative Statistic Module (CSM) for Significant Gene Selection.
- Author:
Young Jin KIM
1
;
Hyo Mi KIM
;
Sang Bae KIM
;
Chan PARK
;
Kuchan KIMM
;
InSong KOH
Author Information
1. Division of Epidemiology and Bioinformatics, National Genome Research Institute, National Institute of Health, 5 Nokbun-dong, Eunpyeong-gu, Seoul 122-701, Korea.
- Publication Type:Original Article
- MeSH:
Genomics
- From:Genomics & Informatics
2004;2(4):180-183
- CountryRepublic of Korea
- Language:English
-
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.
