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Feature set enhancement via hierarchical clustering for microarray classification
dc.contributor.author | Bosio, Mattia |
dc.contributor.author | Bellot Pujalte, Pau |
dc.contributor.author | Salembier Clairon, Philippe Jean |
dc.contributor.author | Oliveras Vergés, Albert |
dc.contributor.other | Universitat Politècnica de Catalunya. Departament de Teoria del Senyal i Comunicacions |
dc.date.accessioned | 2016-05-17T12:59:21Z |
dc.date.issued | 2011 |
dc.identifier.citation | Bosio, M., Bellot, P., Salembier, P., Oliveras, A. Feature set enhancement via hierarchical clustering for microarray classification. A: IEEE International Workshop on Genomic Signal Processing and Statistics. "Proceedings - IEEE International Workshop on Genomic Signal Processing and Statistics". 2011, p. 226-229. |
dc.identifier.isbn | 978-146730490-0 |
dc.identifier.uri | http://hdl.handle.net/2117/87114 |
dc.description.abstract | A new method for gene expression classification is proposed in this paper. In a first step, the original feature set is enriched by including new features, called metagenes, produced via hierarchical clustering. In a second step, a reliable classifier is built from a wrapper feature selection process. The selection relies on two criteria: the classical classification error rate and a new reliability measure. As a result, a classifier with good predictive ability using as few features as possible to reduce the risk of overfitting is obtained. This method has been tested on three public cancer datasets: leukemia, lymphoma and colon. The proposed method has obtained interesting classification results and the experiments have confirmed the utility of both metagenes and feature ranking criterion to improve the final classifier |
dc.format.extent | 4 p. |
dc.language.iso | eng |
dc.subject | Àrees temàtiques de la UPC::Ciències de la salut |
dc.subject | Àrees temàtiques de la UPC::Enginyeria de la telecomunicació |
dc.subject.lcsh | DNA microarrays |
dc.subject.other | Hierarchical clustering |
dc.subject.other | Feature selection |
dc.subject.other | Cancer microarray classification |
dc.subject.other | Treelet |
dc.title | Feature set enhancement via hierarchical clustering for microarray classification |
dc.type | Conference report |
dc.subject.lemac | Microxips d'ADN |
dc.contributor.group | Universitat Politècnica de Catalunya. GPI - Grup de Processament d'Imatge i Vídeo |
dc.description.peerreviewed | Peer Reviewed |
dc.rights.access | Restricted access - publisher's policy |
local.identifier.drac | 10740436 |
dc.description.version | Postprint (published version) |
dc.date.lift | 10000-01-01 |
local.citation.author | Bosio, M.; Bellot, P.; Salembier, P.; Oliveras, A. |
local.citation.contributor | IEEE International Workshop on Genomic Signal Processing and Statistics |
local.citation.publicationName | Proceedings - IEEE International Workshop on Genomic Signal Processing and Statistics |
local.citation.startingPage | 226 |
local.citation.endingPage | 229 |