期刊
BRIEFINGS IN BIOINFORMATICS
卷 9, 期 3, 页码 189-197出版社
OXFORD UNIV PRESS
DOI: 10.1093/bib/bbn001
关键词
gene set analysis; DNA microarray; differential expression of genes
资金
- Ministry of Education, Science & Technology (MoST), Republic of Korea [특성화된 산업응용수학연구] Funding Source: Korea Institute of Science & Technology Information (KISTI), National Science & Technology Information Service (NTIS)
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.
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