Cited 275 time in
- Title
- Gene-set approach for expression pattern analysis = 유전자 발현 패턴 분석을 위한 유전자 세트 분석 방법
- Author(s)
- Dougu Nam; Seon-Young Kim
- Bibliographic Citation
- Briefings in Bioinformatics, vol. 9, no. 3, pp. 189-197
- Publication Year
- 2008
- Abstract
- Recently developed gene set analysis methods evaluate differential expression patterns of gene groups instead of those of individual genes. This approach especially targets gene groups whose constituents show subtle but coordinated expression changes, which might not be detected by the usual individual gene analysis. The approach has been quite successful in deriving new information from expression data, and a number of methods and tools have been developed intensively in recent years. We review those methods and currently available tools, classify them according to the statistical methods employed, and discuss their pros and cons. We also discuss several interesting extensions to the methods.
- Keyword
- Differential expression of genesDNA microarrayGene set analysis
- ISSN
- 1467-5463
- Publisher
- Oxford Univ Press
- DOI
- http://dx.doi.org/10.1093/bib/bbn001
- Type
- Article
- Appears in Collections:
- 1. Journal Articles > Journal Articles
- Files in This Item:
Items in OpenAccess@KRIBB are protected by copyright, with all rights reserved, unless otherwise indicated.