Cited 36 time in
- Title
- GAzer: gene set analyzer = GAzer: 유전자군 분석도구
- Author(s)
- Sang-Bae Kim; S Yang; Seon-Kyu Kim; S C Kim; H G Woo; D J Volsky; Seon-Young Kim; In-Sun Chu
- Bibliographic Citation
- Bioinformatics, vol. 23, no. 13, pp. 1697-1699
- Publication Year
- 2007
- Abstract
- Gene Set Analyzer (GAzer) is a web-based integrated gene set analysis tool covering previously reported parametric and non-parametric models. Based on a simulation test for the reported algorithms, we classified and implemented three main statistical methods consisting of the z-statistic, gene permutation and sample permutation for ten gene set categories including Gene Ontology (GO) for human, mouse, rat and yeast. This tool identifies significantly altered gene sets scored by z-statistics and P-values from the z-test or permutation test and provides q-values and Bonferroni P-values to correct multiple hypothesis testing. GAzer allows users to observe changes in expression of each gene in a gene set or to see the significance of the gene sets containing a gene(s) of interest, thus allowing interactive data analysis both at the gene and gene set level. Moreover, GAzer offers extensive annotation for each gene.
- ISSN
- 1367-4803
- Publisher
- Oxford Univ Press
- Full Text Link
- http://dx.doi.org/10.1093/bioinformatics/btm144
- Type
- Article
- Appears in Collections:
- Aging Convergence Research Center > 1. Journal Articles
Division of A.I. & Biomedical Research > Metabolic Regulation Research Center > 1. Journal Articles
- Files in This Item:
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