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dc.creatorPontes Balanza, Beatrizes
dc.creatorDivina, Federicoes
dc.creatorGiráldez, Raúles
dc.creatorAguilar Ruiz, Jesús Salvadores
dc.date.accessioned2022-03-08T12:06:40Z
dc.date.available2022-03-08T12:06:40Z
dc.date.issued2007
dc.identifier.citationPontes Balanza, B., Divina, F., Giráldez, R. y Aguilar Ruiz, J.S. (2007). Virtual Error: A New Measure for Evolutionary Biclustering. En EvoBIO 2007: 5th European Conference on Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics (217-226), Valencia, España: Springer.
dc.identifier.isbn978-3-540-71782-9es
dc.identifier.issn0302-9743es
dc.identifier.urihttps://hdl.handle.net/11441/130537
dc.description.abstractMany heuristics used for finding biclusters in microarray data use the mean squared residue as a way of evaluating the quality of biclusters. This has led to the discovery of interesting biclusters. Recently it has been proven that the mean squared residue may fail to identify some interesting biclusters. This motivates us to introduce a new measure, called Virtual Error, for assessing the quality of biclusters in microarray data. In order to test the validity of the proposed measure, we include it within an evolutionary algorithm. Experimental results show that the use of this novel measure is effective for finding interesting biclusters, which could not have been discovered with the use of the mean squared residue.es
dc.formatapplication/pdfes
dc.format.extent10es
dc.language.isoenges
dc.publisherSpringeres
dc.relation.ispartofEvoBIO 2007: 5th European Conference on Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics (2007), pp. 217-226.
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internacional*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.titleVirtual Error: A New Measure for Evolutionary Biclusteringes
dc.typeinfo:eu-repo/semantics/conferenceObjectes
dcterms.identifierhttps://ror.org/03yxnpp24
dc.type.versioninfo:eu-repo/semantics/submittedVersiones
dc.rights.accessRightsinfo:eu-repo/semantics/openAccesses
dc.contributor.affiliationUniversidad de Sevilla. Departamento de Lenguajes y Sistemas Informáticoses
dc.relation.publisherversionhttps://link.springer.com/chapter/10.1007/978-3-540-71783-6_21es
dc.identifier.doi10.1007/978-3-540-71783-6_21es
dc.publication.initialPage217es
dc.publication.endPage226es
dc.eventtitleEvoBIO 2007: 5th European Conference on Evolutionary Computation, Machine Learning and Data Mining in Bioinformaticses
dc.eventinstitutionValencia, Españaes
dc.relation.publicationplaceBerlin, Germanyes
dc.identifier.sisius6516149es

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Attribution-NonCommercial-NoDerivatives 4.0 Internacional
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