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A weighted sample size for microarray datasets that considers the variability of variance and multiplicity.

DC FieldValueLanguage
dc.contributor.author김기열-
dc.contributor.author라선영-
dc.contributor.author정현철-
dc.date.accessioned2015-04-24T17:01:48Z-
dc.date.available2015-04-24T17:01:48Z-
dc.date.issued2009-
dc.identifier.issn1389-1723-
dc.identifier.urihttps://ir.ymlib.yonsei.ac.kr/handle/22282913/104625-
dc.description.abstractMicroarray experiments are often performed to detect differently expressed genes among different clinical phenotypes. The method used to calculate the appropriate sample size for this purpose differs from the sample size calculation used for general clinical experiments, because microarrays include tens of thousands of genes. We proposed a sample size calculation method that considers variance among an entire gene set and used the Bonferroni correction to address the multiplicity problem. Specifically, by adjusting for the multiplicity problem, the existing equation for sample size calculation was modified based on the Bonferroni correction. By k-means cluster analysis, the variances across all genes can be divided into several groups with similar values, and the sample sizes for each group were subsequently calculated and weight-averaged. The results of this study show that the sample size was related to the number of genes on a chip. The weighted sample size, calculated by the proposed method, preserved the Type I error for selection of significant genes within a microarray data set.-
dc.description.statementOfResponsibilityopen-
dc.format.extent252~258-
dc.relation.isPartOfJournal of Bioscience and Bioengineering-
dc.rightsCC BY-NC-ND 2.0 KR-
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/2.0/kr/-
dc.subject.MESHAlgorithms-
dc.subject.MESHCluster Analysis-
dc.subject.MESHDatabases, Genetic-
dc.subject.MESHGene Expression Profiling/methods*-
dc.subject.MESHModels, Statistical-
dc.subject.MESHOligonucleotide Array Sequence Analysis/methods*-
dc.subject.MESHPhenotype-
dc.subject.MESHReproducibility of Results-
dc.subject.MESHResearch Design-
dc.subject.MESHSample Size*-
dc.titleA weighted sample size for microarray datasets that considers the variability of variance and multiplicity.-
dc.typeArticle-
dc.contributor.collegeResearcher Institutes (부설 연구소)-
dc.contributor.departmentOral Cancer Research Institute (구강종양연구소)-
dc.contributor.googleauthorKi-Yeol Kim-
dc.contributor.googleauthorHyun Cheol Chung-
dc.contributor.googleauthorSun Young Rha-
dc.identifier.doi10.1016/j.jbiosc.2009.03.017-
dc.admin.authorfalse-
dc.admin.mappingfalse-
dc.contributor.localIdA00337-
dc.contributor.localIdA03773-
dc.contributor.localIdA01316-
dc.relation.journalcodeJ03161-
dc.identifier.pmid19664562-
dc.identifier.urlhttp://www.sciencedirect.com/science/article/pii/S1389172309001558-
dc.subject.keywordMicroarray experiment-
dc.subject.keywordWeighted sample size-
dc.subject.keywordVariability of variance-
dc.subject.keywordMultiplicity problem-
dc.subject.keywordBonferroni correction-
dc.contributor.alternativeNameKim, Ki Yeol-
dc.contributor.alternativeNameRha, Sun Young-
dc.contributor.alternativeNameChung, Hyun Cheol-
dc.contributor.affiliatedAuthorKim, Ki Yeol-
dc.contributor.affiliatedAuthorChung, Hyun Cheol-
dc.contributor.affiliatedAuthorRha, Sun Young-
dc.citation.volume108-
dc.citation.number3-
dc.citation.startPage252-
dc.citation.endPage258-
dc.identifier.bibliographicCitationJournal of Bioscience and Bioengineering, Vol.108(3) : 252-258, 2009-
Appears in Collections:
5. Research Institutes (연구소) > Oral Cancer Research Institute (구강종양연구소) > 1. Journal Papers
1. College of Medicine (의과대학) > Dept. of Internal Medicine (내과학교실) > 1. Journal Papers

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