SVM-Based Local Search for Gene Selection and Classification of Microarray Data

Abstract. This paper presents a SVM-based local search (SVM-LS) approach to the problem of gene selection and classification of microarray data. The proposed approach is highlighted by the use of a SVM classifier both as an essential part of the evaluation function and as a "provider" of useful information for designing effective LS algorithms. The SVM-LS approach is assessed on a set of three well-known data sets and compared with some best algorithms from the literature.

• Type: Conference
• Year: 2008
• Where: BIRD
• Authors: Jose Crispin Hernandez Hernandez, Béatrice Duval, Jin-Kao Hao
• Keywords: Bioinformatics, BIRD 2008, Effective Ls Algorithms, SVM-based Local Search, Well-known Data Sets