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Title:	Exploiting the accumulated evidence for gene selection in microarray gene expression data
Author:	Prat Masramon, Gabriel; Belanche Muñoz, Luis Antonio
Other authors:	Universitat Politècnica de Catalunya. Departament de Llenguatges i Sistemes Informàtics; Universitat Politècnica de Catalunya. SOCO - Soft Computing
Abstract:	Feature subset selection (FSS) methods play an important role for cancer classification using microarray gene expression data. In this scenario, it is extremely important to select genes by taking into account the possible interactions with other gene subsets. This paper shows that, by accumulating the evidence in favour (or against) each gene along a search process, the obtained gene subsets may constitute better solutions, either in terms of size or in predictive accuracy, or in both, at a negligible overhead in computational cost.
Subject(s):	-Àrees temàtiques de la UPC::Informàtica::Aplicacions de la informàtica::Bioinformàtica -Tumors -- Classification -Tumors -- Classificació
Rights:	Attribution-NonCommercial-NoDerivs 3.0 Spain http://creativecommons.org/licenses/by-nc-nd/3.0/es/
Document type:	Article - Submitted version Conference Object
Published by:	IOS Press
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