Multiple testing using the posterior probability of half-space: application to gene expression data.

dc.contributor.authorLabbe, Aurelieen
dc.date.accessioned2006-08-22T14:30:44Z
dc.date.available2006-08-22T14:30:44Z
dc.date.issued2005en
dc.date.submitted2005en
dc.description.abstractWe consider the problem of testing the equality of two sample means, when the number of tests performed is large. Applying this problem to the context of gene expression data, our goal is to detect a set of genes differentially expressed under two treatments or two biological conditions. A null hypothesis of no difference in the gene expression under the two conditions is constructed. Since such a hypothesis is tested for each gene, it follows that thousands of tests are performed simultaneously, and multiple testing issues then arise. The aim of our research is to make a connection between Bayesian analysis and frequentist theory in the context of multiple comparisons by deriving some properties shared by both p-values and posterior probabilities. The ultimate goal of this work is to use the posterior probability of the one-sided alternative hypothesis (or equivalently, posterior probability of the half-space) in the same spirit as a p-value. We show for instance that such a Bayesian probability can be used as an input in some standard multiple testing procedures controlling for the False Discovery rate.en
dc.formatapplication/pdfen
dc.format.extent32064571 bytes
dc.format.mimetypeapplication/pdf
dc.identifier.urihttp://hdl.handle.net/10012/1023
dc.language.isoenen
dc.pendingfalseen
dc.publisherUniversity of Waterlooen
dc.rightsCopyright: 2005, Labbe, Aurélie. All rights reserved.en
dc.subjectMathematicsen
dc.subjectposterior probabilityen
dc.subjecthalf-spacesen
dc.subjectmicroarray dataen
dc.subjectmultiple testing.en
dc.titleMultiple testing using the posterior probability of half-space: application to gene expression data.en
dc.typeDoctoral Thesisen
uws-etd.degreeDoctor of Philosophyen
uws-etd.degree.departmentStatistics and Actuarial Science (Actuarial Science)en
uws.peerReviewStatusUnrevieweden
uws.scholarLevelGraduateen
uws.typeOfResourceTexten

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