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dc.contributor.authorGallón Gómez, Santiago Alejandro-
dc.contributor.authorLoubes, Jean Michel-
dc.contributor.authorMaza, Elie-
dc.date.accessioned2017-05-24T21:59:16Z-
dc.date.available2017-05-24T21:59:16Z-
dc.date.issued2013-
dc.identifier.citationGallón Gómez, S. A., Loubes, J. M. & Maza, E. (2013). Statistical properties of the quantile normalization method for density curve alignment. Mathematical Biosciences, 242(2), 129-142.spa
dc.identifier.issn0025-5564-
dc.identifier.urihttp://hdl.handle.net/10495/7347-
dc.description.abstractABSTRACT: The article investigates the large sample properties of the quantile normalization method by Bolstad et al. (2003) [4] which has become one of the most popular methods to align density curves in microarray data analysis. We prove consistency of this method which is viewed as a particular case of the structural expectation procedure for curve alignment, which corresponds to a notion of barycenter of measures in the Wasserstein space. Moreover, we show that, this method fails in some case of mixtures, and we propose a new methodology to cope with this issue.spa
dc.format.extent13 páginasspa
dc.format.mimetypeapplication/pdfspa
dc.language.isoengspa
dc.publisherElsevierspa
dc.type.hasversioninfo:eu-repo/semantics/publishedVersionspa
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/2.5/co/*
dc.subjectWasserstein distance-
dc.subjectCurve registration-
dc.subjectManifold registration-
dc.subjectMicroarray data analysis-
dc.subjectNormalization-
dc.subjectOrder statistics-
dc.subjectStructural expectation-
dc.titleStatistical properties of the quantile normalization method for density curve alignmentspa
dc.typeinfo:eu-repo/semantics/articlespa
dc.publisher.groupMicroeconomía Aplicadaspa
dc.identifier.doi10.1016/j.mbs.2012.12.007-
oaire.versionhttp://purl.org/coar/version/c_970fb48d4fbd8a85spa
dc.rights.accessrightshttp://purl.org/coar/access_right/c_abf2spa
dc.identifier.eissn1879-3134-
oaire.citationtitleMathematical Biosciencesspa
oaire.citationstartpage129spa
oaire.citationendpage142spa
oaire.citationvolume242spa
oaire.citationissue2spa
dc.rights.creativecommonshttps://creativecommons.org/licenses/by-nc-nd/4.0/spa
dc.publisher.placeNueva York, Estados Unidosspa
dc.type.coarhttp://purl.org/coar/resource_type/c_2df8fbb1spa
dc.type.redcolhttps://purl.org/redcol/resource_type/ARTspa
dc.type.localArtículo de investigaciónspa
dc.description.researchgroupidCOL0013808spa
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