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dc.contributor.authorFragnelli, Vito
dc.contributor.authorMoretti, Stefano
HAL ID: 739814
ORCID: 0000-0003-3627-3257
dc.date.accessioned2010-09-16T09:28:30Z
dc.date.available2010-09-16T09:28:30Z
dc.date.issued2008
dc.identifier.urihttps://basepub.dauphine.fr/handle/123456789/4795
dc.language.isoenen
dc.subjectGene expression analysisen
dc.subjectCooperativeen
dc.subjectgame; Classification problemen
dc.subjectShapley valueen
dc.subjectInteraction indexen
dc.subject.ddc519en
dc.subject.classificationjelC7
dc.titleA game theoretical approach to the classification problem next term in previous term gene expression data analysisen
dc.typeArticle accepté pour publication ou publié
dc.contributor.editoruniversityotherUnit of Molecular Epidemiology, National Cancer Research Institute of Genoa;Italie
dc.contributor.editoruniversityotherDepartment of Advanced Sciences and Technologies, University of Eastern Piedmont;Italie
dc.description.abstractenMicroarray technology allows for the evaluation of the level of previous termexpressionnext term of thousands of previous termgenesnext term in previous termanext term sample of cells under previous termanext term given condition. In this paper, we introduce previous termanext term methodology based on cooperative previous termGamenext term Theory for the selection of groups of previous termgenesnext term with high power in classifying samples, according to previous termgene expressionnext term patterns. The connection between microarray previous termgames and classification gamesnext term is discussed and the use of the Shapley value to measure the power of previous termgenesnext term for previous termclassificationnext term is motivated on particular instances and compared to the interaction index.en
dc.relation.isversionofjnlnameComputers & Mathematics with Applications
dc.relation.isversionofjnlvol55en
dc.relation.isversionofjnlissue5en
dc.relation.isversionofjnldate2008-03
dc.relation.isversionofjnlpages950-959en
dc.relation.isversionofdoihttp://dx.doi.org/10.1016/j.camwa.2006.12.088en
dc.description.sponsorshipprivateouien
dc.relation.isversionofjnlpublisherElsevieren
dc.subject.ddclabelProbabilités et mathématiques appliquéesen


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