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Gene-set approach for expression pattern analysis (2008)
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| Venue: | Briefings in Bioinformatics 9 |
| Citations: | 90 - 7 self |
BibTeX
@INPROCEEDINGS{Nam08gene-setapproach,
author = {Dougu Nam and Seon-young Kim},
title = {Gene-set approach for expression pattern analysis},
booktitle = {Briefings in Bioinformatics 9},
year = {2008},
pages = {189--197}
}
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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 coordi-nated 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 accord-ing to the statistical methods employed, and discuss their pros and cons. We also discuss several interesting extensions to the methods.
Keyphrases
expression pattern analysis gene-set approach usual individual gene analysis recent year target gene group differential expression pattern new information expression data available tool gene group statistical method analysis method individual gene several interesting extension coordi-nated expression change
