GAzer: gene set analyzer = GAzer: 유전자군 분석도구

Cited 36 time in scopus
Metadata Downloads

Full metadata record

DC FieldValueLanguage
dc.contributor.authorSang-Bae Kim-
dc.contributor.authorS Yang-
dc.contributor.authorSeon-Kyu Kim-
dc.contributor.authorS C Kim-
dc.contributor.authorH G Woo-
dc.contributor.authorD J Volsky-
dc.contributor.authorSeon-Young Kim-
dc.contributor.authorIn-Sun Chu-
dc.date.accessioned2017-04-19T09:07:43Z-
dc.date.available2017-04-19T09:07:43Z-
dc.date.issued2007-
dc.identifier.issn1367-4803-
dc.identifier.uri10.1093/bioinformatics/btm144ko
dc.identifier.urihttps://oak.kribb.re.kr/handle/201005/7993-
dc.description.abstractGene Set Analyzer (GAzer) is a web-based integrated gene set analysis tool covering previously reported parametric and non-parametric models. Based on a simulation test for the reported algorithms, we classified and implemented three main statistical methods consisting of the z-statistic, gene permutation and sample permutation for ten gene set categories including Gene Ontology (GO) for human, mouse, rat and yeast. This tool identifies significantly altered gene sets scored by z-statistics and P-values from the z-test or permutation test and provides q-values and Bonferroni P-values to correct multiple hypothesis testing. GAzer allows users to observe changes in expression of each gene in a gene set or to see the significance of the gene sets containing a gene(s) of interest, thus allowing interactive data analysis both at the gene and gene set level. Moreover, GAzer offers extensive annotation for each gene.-
dc.publisherOxford Univ Press-
dc.titleGAzer: gene set analyzer = GAzer: 유전자군 분석도구-
dc.title.alternativeGAzer: gene set analyzer-
dc.typeArticle-
dc.citation.titleBioinformatics-
dc.citation.number13-
dc.citation.endPage1699-
dc.citation.startPage1697-
dc.citation.volume23-
dc.contributor.affiliatedAuthorSang-Bae Kim-
dc.contributor.affiliatedAuthorSeon-Kyu Kim-
dc.contributor.affiliatedAuthorSeon-Young Kim-
dc.contributor.affiliatedAuthorIn-Sun Chu-
dc.contributor.alternativeName김상배-
dc.contributor.alternativeName양성진-
dc.contributor.alternativeName김선규-
dc.contributor.alternativeName김상철-
dc.contributor.alternativeName우현구-
dc.contributor.alternativeNameVolsky-
dc.contributor.alternativeName김선영-
dc.contributor.alternativeName추인선-
dc.identifier.bibliographicCitationBioinformatics, vol. 23, no. 13, pp. 1697-1699-
dc.identifier.doi10.1093/bioinformatics/btm144-
dc.description.journalClassY-
Appears in Collections:
Aging Convergence Research Center > 1. Journal Articles
Division of A.I. & Biomedical Research > Metabolic Regulation Research Center > 1. 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.