An efficient implementation of Relief-F algorithm for Genome-Wide Association Studies.

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dc.contributorRENATO SHIBATA, Unicamp; ROBERTO HIROSHI HIGA, CNPTIA.
dc.creatorSHIBATA, R.
dc.creatorHIGA, R.
dc.date2013-01-25T11:11:11Z
dc.date2013-01-25T11:11:11Z
dc.date2013-01-25
dc.date2012
dc.date2020-01-23T11:11:11Z
dc.date.accessioned2026-07-07T04:13:01Z
dc.descriptionAlthough Relief can be adapted for regression context, in this work we approach only for classification context.
dc.descriptionX-MEETING 2012.
dc.formatNão paginado.
dc.identifierIn: INTERNATIONAL CONFERENCE OF THE BRAZILIAN ASSOCIATION FOR BIOINFORMATICS AND COMPUTATIONAL BIOLOGY, 8., 2012, Campinas. Abstract book... Ribeirão Preto: AB3C, 2012.
dc.identifierhttp://www.alice.cnptia.embrapa.br/alice/handle/doc/946448
dc.identifier.urihttp://hdl.handle.net/123456789/454370
dc.languageeng
dc.rightsopenAccess
dc.subjectPolimorfismo de nucleotídeo único
dc.subjectGenoma
dc.subjectSingle nucleotide polymorphism
dc.subjectGenome
dc.titleAn efficient implementation of Relief-F algorithm for Genome-Wide Association Studies.
dc.typeResumo em anais e proceedings

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