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dc.contributor.authorGonzález Navarro, Félix Fernando
dc.contributor.authorBelanche Muñoz, Luis Antonio
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament de Llenguatges i Sistemes Informàtics
dc.date.accessioned2013-06-03T08:29:20Z
dc.date.available2013-06-03T08:29:20Z
dc.date.created2011
dc.date.issued2011
dc.identifier.citationGonzález, F.F.; Belanche, Ll. Parsimonious selection of useful genes in microarray gene expression data. A: "Software tools and algorithms for biological systems". Springer, 2011, p. 45-55.
dc.identifier.isbn978-1-4419-7046-6
dc.identifier.urihttp://hdl.handle.net/2117/19482
dc.description.abstractMachine Learning methods have of late made significant efforts to solving multidisciplinary problems in the field of cancer classification in microarray gene expression data. These tasks are characterized by a large number of features and a few observations, making the modeling a non-trivial undertaking. In this work we apply entropic filter methods for gene selection, in combination with several off-the-shelf classifiers. The introduction of bootstrap resampling techniques permits the achievement of more stable performance estimates. Our findings show that the proposed methodology permits a drastic reduction in dimension, offering attractive solutions both in terms of prediction accuracy and number of explanatory genes; a dimensionality reduction technique preserving discrimination capabilities is used for visualization of the selected genes.
dc.format.extent11 p.
dc.language.isoeng
dc.publisherSpringer
dc.subjectÀrees temàtiques de la UPC::Informàtica::Aplicacions de la informàtica::Bioinformàtica
dc.subject.lcshComputational biology
dc.subject.lcshData mining
dc.subject.lcshCancer -- Research
dc.subject.otherBiological data mining and knowledge discovery
dc.subject.otherGene expression analysis
dc.subject.otherTools and methods for computational biology and bioinformatics
dc.subject.otherCancer informatics
dc.titleParsimonious selection of useful genes in microarray gene expression data
dc.typePart of book or chapter of book
dc.subject.lemacBiologia computacional
dc.subject.lemacMineria de dades
dc.subject.lemacCàncer -- Investigació
dc.contributor.groupUniversitat Politècnica de Catalunya. SOCO - Soft Computing
dc.identifier.doi10.1007/978-1-4419-7046-6_5
dc.relation.publisherversionhttps://link.springer.com/book/10.1007/978-1-4419-7046-6
dc.rights.accessOpen Access
local.identifier.drac11682668
dc.description.versionPostprint (author’s final draft)
local.citation.authorGonzález, F.F.; Belanche, Ll.
local.citation.publicationNameSoftware tools and algorithms for biological systems
local.citation.startingPage45
local.citation.endingPage55


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