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Detecting Genetic Association and Gene-Gene Interaction using Network Analysis in Case-Control Study

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dc.contributor.author진서훈-
dc.contributor.author이민희-
dc.contributor.author이효정-
dc.contributor.author박미라-
dc.date.accessioned2021-09-07T02:18:30Z-
dc.date.available2021-09-07T02:18:30Z-
dc.date.created2021-06-17-
dc.date.issued2012-
dc.identifier.issn1225-066X-
dc.identifier.urihttps://scholar.korea.ac.kr/handle/2021.sw.korea/110112-
dc.description.abstractVarious methods of analysis have been proposed to understand the gene-disease relation and gene-gene interaction effect for a disease through comparison of genotype in case-control study. In this study, we proposed the method to detect a genetic association and gene-gene interaction through the use of a network graph and centrality measures that are used in social network analysis. The applicability of the proposed method was studied through an analysis of real genetic data.-
dc.languageKorean-
dc.language.isoko-
dc.publisher한국통계학회-
dc.titleDetecting Genetic Association and Gene-Gene Interaction using Network Analysis in Case-Control Study-
dc.title.alternativeDetecting Genetic Association and Gene-Gene Interaction using Network Analysis in Case-Control Study-
dc.typeArticle-
dc.contributor.affiliatedAuthor진서훈-
dc.identifier.bibliographicCitation응용통계연구, v.25, no.4, pp.563 - 573-
dc.relation.isPartOf응용통계연구-
dc.citation.title응용통계연구-
dc.citation.volume25-
dc.citation.number4-
dc.citation.startPage563-
dc.citation.endPage573-
dc.type.rimsART-
dc.identifier.kciidART001688724-
dc.description.journalClass2-
dc.description.journalRegisteredClasskci-
dc.subject.keywordAuthorNetwork analysis-
dc.subject.keywordAuthorgenetic association-
dc.subject.keywordAuthorgene-gene interaction-
dc.subject.keywordAuthorcentrality measures.-
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