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Hybrid algorithm for the classification of prostate cancer patients of the MCC-Spain study based on support vector machines and genetic algorithms

dc.contributor.authorSánchez Lasheras, Juan Enrique
dc.contributor.authorSánchez Lasheras, Fernando 
dc.contributor.authorGonzález Donquiles, Carmen
dc.contributor.authorTardón García, Adonina 
dc.contributor.authorCastaño Vinyals, Gemma
dc.contributor.authorPalazuelos, Camilo
dc.contributor.authorSalas, D.
dc.contributor.authorMartín Sánchez, Vicente
dc.contributor.authorCos Juez, Francisco Javier de 
dc.date.accessioned2021-06-01T09:44:50Z
dc.date.available2021-06-01T09:44:50Z
dc.date.issued2021
dc.identifier.citationNeurocomputing, 452, p. 386-394 (2021); doi:10.1016/j.neucom.2019.08.113
dc.identifier.issn0925-2312
dc.identifier.urihttp://hdl.handle.net/10651/58962
dc.description.sponsorshipThe study was partially funded by the ‘‘Acción Transversal del Cancer‘‘, approved on the Spanish Ministry Council on the 11th October 2007, by the Instituto de Salud Carlos III-FEDER (PI08/1770, PS09/00773-Cantabria, PS09/01286-León, PS09/01903-Valencia, PS09/02078-Huelva, PS09/01662-Granada, PI11/01889-FEDER, PI12/00488, PI12/00265, PI12/01270,PI12/00715), by the Fundación Marqués de Valdecilla (API 10/09), by the ICGC International Cancer Genome Consortium CLL (The ICGC CLL-Genome Project is funded by Spanish Ministerio de Economía y Competitividad (MINECO) through the Instituto de Salud Carlos III (ISCIII) and Red Temática de Investigación del Cáncer (RTICC) del ISCIII (RD12/0036/0036)), by the Junta de Castilla y León (LE22A10-2), by the Consejería de Salud of the Junta de Andalucía (PI-0571-2009, PI-0306-2011, salud201200057018tra), by the Conselleria de Sanitat of the Generalitat Valenciana (AP_061/10), by the Recercaixa (2010ACUP 00310), by the Regional Government of the Basque Country, by the Consejería de Sanidad de la Región de Murcia, by the European Commission grants FOOD-CT-2006-036224-HIWA (...)
dc.format.extentp. 386-394
dc.language.isoeng
dc.relation.ispartofNeurocomputing
dc.rights© 2020 Elsevier B.V.
dc.sourceScopus
dc.source.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85097075325&doi=10.1016%2fj.neucom.2019.08.113&partnerID=40&md5=5b216134baf193c376ef901dd27939d1
dc.titleHybrid algorithm for the classification of prostate cancer patients of the MCC-Spain study based on support vector machines and genetic algorithms
dc.typejournal article
dc.identifier.doi10.1016/j.neucom.2019.08.113
dc.relation.projectIDISCIII/FEDER/PI11/01889
dc.relation.projectIDISCIII/FEDER/PI11/01889
dc.relation.projectIDISCIII/FEDER/PI12/00488
dc.relation.projectIDISCIII/FEDER/PI12/00265
dc.relation.projectIDISCIII/FEDER/PI12/01270
dc.relation.projectIDISCIII/FEDER/PI12/00715
dc.relation.projectIDISCIII/RD12/0036/0036
dc.relation.publisherversionhttp://dx.doi.org/10.1016/j.neucom.2019.08.113


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