Gene-set approach for expression pattern analysis = 유전자 발현 패턴 분석을 위한 유전자 세트 분석 방법

Cited 275 time in scopus
Metadata Downloads

Full metadata record

DC FieldValueLanguage
dc.contributor.authorDougu Nam-
dc.contributor.authorSeon-Young Kim-
dc.date.accessioned2017-04-19T09:09:57Z-
dc.date.available2017-04-19T09:09:57Z-
dc.date.issued2008-
dc.identifier.issn1467-5463-
dc.identifier.uri10.1093/bib/bbn001ko
dc.identifier.urihttps://oak.kribb.re.kr/handle/201005/8378-
dc.description.abstractRecently 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.-
dc.publisherOxford Univ Press-
dc.titleGene-set approach for expression pattern analysis = 유전자 발현 패턴 분석을 위한 유전자 세트 분석 방법-
dc.title.alternativeGene-set approach for expression pattern analysis-
dc.typeArticle-
dc.citation.titleBriefings in Bioinformatics-
dc.citation.number3-
dc.citation.endPage197-
dc.citation.startPage189-
dc.citation.volume9-
dc.contributor.affiliatedAuthorSeon-Young Kim-
dc.contributor.alternativeName남덕우-
dc.contributor.alternativeName김선영-
dc.identifier.bibliographicCitationBriefings in Bioinformatics, vol. 9, no. 3, pp. 189-197-
dc.identifier.doi10.1093/bib/bbn001-
dc.subject.keywordDifferential expression of genes-
dc.subject.keywordDNA microarray-
dc.subject.keywordGene set analysis-
dc.subject.localDifferential expression of genes-
dc.subject.localDNA microarray-
dc.subject.localGene set analysis-
dc.description.journalClassY-
Appears in Collections:
1. Journal Articles > Journal Articles
Files in This Item:
  • There are no files associated with this item.


Items in OpenAccess@KRIBB are protected by copyright, with all rights reserved, unless otherwise indicated.