ADGO: analysis of differentially expressed gene sets using composite GO annotation.

Citation data:

Bioinformatics (Oxford, England), ISSN: 1367-4811, Vol: 22, Issue: 18, Page: 2249-53

Publication Year:
2006
Usage 7
Abstract Views 7
Captures 39
Readers 39
Citations 26
Citation Indexes 26
Repository URL:
http://scholarworks.unist.ac.kr/handle/201301/7186
PMID:
16837524
DOI:
10.1093/bioinformatics/btl378
Author(s):
Nam, Dougu; Kim, Sang-Bae; Kim, Seon-Kyu; Yang, Sungjin; Kim, Seon-Young; Chu, In-Sun
Publisher(s):
Oxford University Press (OUP); OXFORD UNIV PRESS
Tags:
Biochemistry, Genetics and Molecular Biology; Computer Science; PROFILES; ENRICHMENT; ONTOLOGY; TOOL
article description
Genes are typically expressed in modular manners in biological processes. Recent studies reflect such features in analyzing gene expression patterns by directly scoring gene sets. Gene annotations have been used to define the gene sets, which have served to reveal specific biological themes from expression data. However, current annotations have limited analytical power, because they are classified by single categories providing only unary information for the gene sets.