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Campo DC | Valor | Lengua/Idioma |
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dc.contributor.author | Gallón Gómez, Santiago Alejandro | - |
dc.contributor.author | Loubes, Jean Michel | - |
dc.contributor.author | Maza, Elie | - |
dc.date.accessioned | 2017-05-24T21:59:16Z | - |
dc.date.available | 2017-05-24T21:59:16Z | - |
dc.date.issued | 2013 | - |
dc.identifier.citation | Gallón 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.issn | 0025-5564 | - |
dc.identifier.uri | http://hdl.handle.net/10495/7347 | - |
dc.description.abstract | ABSTRACT: 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.extent | 13 páginas | spa |
dc.format.mimetype | application/pdf | spa |
dc.language.iso | eng | spa |
dc.publisher | Elsevier | spa |
dc.type.hasversion | info:eu-repo/semantics/publishedVersion | spa |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/2.5/co/ | * |
dc.subject | Wasserstein distance | - |
dc.subject | Curve registration | - |
dc.subject | Manifold registration | - |
dc.subject | Microarray data analysis | - |
dc.subject | Normalization | - |
dc.subject | Order statistics | - |
dc.subject | Structural expectation | - |
dc.title | Statistical properties of the quantile normalization method for density curve alignment | spa |
dc.type | info:eu-repo/semantics/article | spa |
dc.publisher.group | Microeconomía Aplicada | spa |
dc.identifier.doi | 10.1016/j.mbs.2012.12.007 | - |
oaire.version | http://purl.org/coar/version/c_970fb48d4fbd8a85 | spa |
dc.rights.accessrights | http://purl.org/coar/access_right/c_abf2 | spa |
dc.identifier.eissn | 1879-3134 | - |
oaire.citationtitle | Mathematical Biosciences | spa |
oaire.citationstartpage | 129 | spa |
oaire.citationendpage | 142 | spa |
oaire.citationvolume | 242 | spa |
oaire.citationissue | 2 | spa |
dc.rights.creativecommons | https://creativecommons.org/licenses/by-nc-nd/4.0/ | spa |
dc.publisher.place | Nueva York, Estados Unidos | spa |
dc.type.coar | http://purl.org/coar/resource_type/c_2df8fbb1 | spa |
dc.type.redcol | https://purl.org/redcol/resource_type/ART | spa |
dc.type.local | Artículo de investigación | spa |
dc.description.researchgroupid | COL0013808 | spa |
Aparece en las colecciones: | Artículos de Revista en Ciencias Económicas |
Ficheros en este ítem:
Fichero | Descripción | Tamaño | Formato | |
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GallonSantiago_2013_StatisticalPropertiesQuantile.pdf | Artículo de investigación | 7.1 MB | Adobe PDF | Visualizar/Abrir |
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