dc.creatorGallón Gómez, Santiago Alejandro
dc.creatorLoubes, Jean Michel
dc.creatorMaza, Elie
dc.date2017-05-24T21:59:16Z
dc.date2017-05-24T21:59:16Z
dc.date2013
dc.date.accessioned2023-08-28T19:35:03Z
dc.date.available2023-08-28T19:35:03Z
dc.identifierGallón 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.
dc.identifier0025-5564
dc.identifierhttp://hdl.handle.net/10495/7347
dc.identifier.urihttps://repositorioslatinoamericanos.uchile.cl/handle/2250/8464251
dc.descriptionABSTRACT: 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.
dc.format13
dc.formatapplication/pdf
dc.formatapplication/pdf
dc.languageeng
dc.publisherElsevier
dc.publisherEstados Unidos
dc.rightsAtribución 2.5
dc.rightsinfo:eu-repo/semantics/openAccess
dc.rightshttp://creativecommons.org/licenses/by/2.5/co/
dc.rightshttp://purl.org/coar/access_right/c_abf2
dc.rightshttps://creativecommons.org/licenses/by-nc-nd/4.0/
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 alignment
dc.typeinfo:eu-repo/semantics/article
dc.typeinfo:eu-repo/semantics/publishedVersion
dc.typehttp://purl.org/coar/resource_type/c_2df8fbb1
dc.typehttps://purl.org/redcol/resource_type/ART
dc.typeArtículo de investigación


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