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dc.contributor.authorKönig, Caroline
dc.contributor.authorAlquézar Mancho, René
dc.contributor.authorVellido Alcacena, Alfredo
dc.contributor.authorGiraldo Arjonilla, Jesús
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament de Ciències de la Computació
dc.date.accessioned2015-10-05T11:02:25Z
dc.date.available2015-12-31T01:30:55Z
dc.date.issued2014
dc.identifier.citationKönig, C., Alquezar, R., Vellido, A., Giraldo, J. Finding class C GPCR subtype-discriminating n-grams through feature selection. A: International Conference on Practical Applications of Computational Biology & Bioinformatics. "8th International Conference on Practical Applications of Computational Biology & Bioinformatics, PACBB 2014, 4-6 June, 2014, Salamanca, Spain". Salamanca: Springer International Publishing, 2014, p. 89-96.
dc.identifier.isbn978-3-319-07580-8
dc.identifier.urihttp://hdl.handle.net/2117/77319
dc.description.abstractG protein-coupled receptors (GPCRs) are a large and heterogeneous superfamily of receptors that are key cell players for their role as extracellular signal transmitters. Class C GPCRs, in particular, are of great interest in pharmacology. The lack of knowledge about their full 3-D structure prompts the use of their primary amino acid sequences for the construction of robust classifiers, capable of discriminating their different subtypes. In this paper, we describe the use of feature selection techniques to build Support Vector Machine (SVM)-based classification models from selected receptor subsequences described as n-grams. We show that this approach to classification is useful for finding class C GPCR subtype-specific motifs.
dc.format.extent8 p.
dc.language.isoeng
dc.publisherSpringer International Publishing
dc.subjectÀrees temàtiques de la UPC::Informàtica::Aplicacions de la informàtica::Bioinformàtica
dc.subject.lcshProteomics
dc.subject.otherG-Protein coupled receptors
dc.subject.otherPharmaco-proteomics
dc.subject.otherFeature selection
dc.subject.othern-grams
dc.subject.otherSupport vector machines
dc.titleFinding class C GPCR subtype-discriminating n-grams through feature selection
dc.typeConference report
dc.subject.lemacProteòmica
dc.contributor.groupUniversitat Politècnica de Catalunya. VIS - Visió Artificial i Sistemes Intel.ligents
dc.contributor.groupUniversitat Politècnica de Catalunya. SOCO - Soft Computing
dc.identifier.doi10.1007/978-3-319-07581-5_11
dc.description.peerreviewedPeer Reviewed
dc.relation.publisherversionhttp://link.springer.com/chapter/10.1007%2F978-3-319-07581-5_11
dc.rights.accessOpen Access
drac.iddocument16669890
dc.description.versionPostprint (author’s final draft)
upcommons.citation.authorKönig, C., Alquezar, R., Vellido, A., Giraldo, J.
upcommons.citation.contributorInternational Conference on Practical Applications of Computational Biology & Bioinformatics
upcommons.citation.pubplaceSalamanca
upcommons.citation.publishedtrue
upcommons.citation.publicationName8th International Conference on Practical Applications of Computational Biology & Bioinformatics, PACBB 2014, 4-6 June, 2014, Salamanca, Spain
upcommons.citation.startingPage89
upcommons.citation.endingPage96


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