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dc.contributor.authorKanaan Izquierdo, Samir
dc.contributor.authorZiyatdinov, Andrey
dc.contributor.authorBurgueño, Maria Araceli
dc.contributor.authorPerera Lluna, Alexandre
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament de Ciències de la Computació
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament d'Enginyeria de Sistemes, Automàtica i Informàtica Industrial
dc.date.accessioned2019-03-15T13:29:26Z
dc.date.available2019-03-15T13:29:26Z
dc.date.issued2018-12-31
dc.identifier.citationKanaan-Izquierdo, S. [et al.]. Multiview: a software package for multiview pattern recognition methods. "Bioinformatics", 31 Desembre 2018, núm. bty1039, p. 1-3.
dc.identifier.issn1367-4803
dc.identifier.urihttp://hdl.handle.net/2117/130483
dc.description.abstractMultiview datasets are the norm in bioinformatics, often under the label multi-omics. Multiview data is gathered from several experiments, measurements or feature sets available for the same subjects. Recent studies in pattern recognition have shown the advantage of using multiview methods of clustering and dimensionality reduction; however, none of these methods are readily available to the extent of our knowledge. Multiview extensions of four well-known pattern recognition methods are proposed here. Three multiview dimensionality reduction methods: multiview t-distributed stochastic neighbour embedding, multiview multidimensional scaling, and multiview minimum curvilinearity embedding, as well as a multiview spectral clustering method. Often they produce better results than their single-view counterparts, tested here on four multiview datasets.
dc.format.extent3 p.
dc.language.isoeng
dc.rightsAttribution-NonCommercial-NoDerivs 3.0 Spain
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/es/
dc.subjectÀrees temàtiques de la UPC::Informàtica::Aplicacions de la informàtica::Bioinformàtica
dc.subject.lcshBioinformatics
dc.subject.otherMultiview data processing
dc.subject.otherclustering
dc.subject.otherdimensionality reduction
dc.titleMultiview: a software package for multiview pattern recognition methods
dc.typeArticle
dc.subject.lemacBioinformàtica
dc.contributor.groupUniversitat Politècnica de Catalunya. B2SLab - Bioinformatics and Biomedical Signals Laboratory
dc.identifier.doi10.1093/bioinformatics/bty1039
dc.description.peerreviewedPeer Reviewed
dc.relation.publisherversionhttps://academic.oup.com/bioinformatics/advance-article-abstract/doi/10.1093/bioinformatics/bty1039/5267824
dc.rights.accessOpen Access
drac.iddocument23642114
dc.description.versionPostprint (author's final draft)
upcommons.citation.authorKanaan-Izquierdo, S.; Ziyatdinov, A.; Burgueño, M.; Perera, A.
upcommons.citation.publishedtrue
upcommons.citation.publicationNameBioinformatics
upcommons.citation.numberbty1039
upcommons.citation.startingPage1
upcommons.citation.endingPage3


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