Article
SNPs selection using support vector regression and genetic algorithms in GWAS.
BMC genomics - 1 Jan 2014
de Oliveira Fabrízzio Condé, Borges Carlos Cristiano Hasenclever, Almeida Fernanda Nascimento, e Silva Fabyano Fonseca, da Silva Verneque Rui, da Silva Marcos Vinicius G B, Arbex Wagner
Abstract excerpt
INTRODUCTION: This paper proposes a new methodology to simultaneously select the most relevant SNPs markers for the characterization of any measurable phenotype described by a continuous variable using Support Vector Regression with Pearson Universal kernel as fitness function of a binary genetic algorithm. The proposed methodology is multi-attribute towards considering several markers simultaneously to explain...
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