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dc.contributor.authorBosio, Mattia
dc.contributor.authorBellot Pujalte, Pau
dc.contributor.authorSalembier Clairon, Philippe Jean
dc.contributor.authorOliveras Vergés, Albert
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament de Teoria del Senyal i Comunicacions
dc.date.accessioned2013-03-13T19:48:02Z
dc.date.created2012
dc.date.issued2012
dc.identifier.citationBosio, M. [et al.]. Microarray classification with hierarchical data representation and novel feature selection criteria. A: IEEE International Conference on BioInformatics and BioEngineering. "Proceedings of the 2012 IEEE 12th International Conference on Bioinformatics & Bioengineering (BIBE) : Larnaca, Cyprus, 11-13 November 2012". Larnaca: Institute of Electrical and Electronics Engineers (IEEE), 2012, p. 344-349.
dc.identifier.isbn978-1-4673-4358-9
dc.identifier.urihttp://hdl.handle.net/2117/18291
dc.description.abstractMicroarray data classification is a challenging prob- lem due to the high number of variables compared to the small number of available samples. An effective methodology to output a precise and reliable classifier is proposed in this work as an improvement of the algorithm in [1]. It considers the sample scarcity problem and the lack of data structure typical of microarrays. Both problem are assessed by a two-step approach applying hierarchical clustering to create new features called metagenes and introducing a novel feature ranking criterion, inside the wrapper feature selection task. The classification ability has been evaluated on 4 publicly available datasets from Micro Array Quality Control study phase II (MAQC) classified by 7 different endpoints. The global results have showed how the proposed approach obtains better prediction accuracy than a wide variety of state of the art alternatives
dc.format.extent6 p.
dc.language.isoeng
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)
dc.subjectÀrees temàtiques de la UPC::Informàtica::Aplicacions de la informàtica::Bioinformàtica
dc.subjectÀrees temàtiques de la UPC::Enginyeria de la telecomunicació
dc.subject.lcshBioinformatics
dc.subject.lcshBiology -- Data processing
dc.titleMicroarray classification with hierarchical data representation and novel feature selection criteria
dc.typeConference report
dc.subject.lemacBioinformàtica
dc.subject.lemacBiologia -- Informàtica
dc.contributor.groupUniversitat Politècnica de Catalunya. GPI - Grup de Processament d'Imatge i Vídeo
dc.identifier.doi10.1109/BIBE.2012.6399648
dc.description.peerreviewedPeer Reviewed
dc.relation.publisherversionhttp://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=6399648&tag=1
dc.rights.accessRestricted access - publisher's policy
local.identifier.drac11152473
dc.description.versionPostprint (published version)
dc.date.lift10000-01-01
local.citation.authorBosio, M.; Bellot, P.; Salembier, P.; Oliveras, A.
local.citation.contributorIEEE International Conference on BioInformatics and BioEngineering
local.citation.pubplaceLarnaca
local.citation.publicationNameProceedings of the 2012 IEEE 12th International Conference on Bioinformatics & Bioengineering (BIBE) : Larnaca, Cyprus, 11-13 November 2012
local.citation.startingPage344
local.citation.endingPage349


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