SNPs selection using support vector regression and genetic algorithms in GWAS

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 al...

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Detalles Bibliográficos
Autores principales: de Oliveira, Fabrízzio Condé, Borges, Carlos Cristiano Hasenclever, Almeida, Fernanda Nascimento, e Silva, Fabyano Fonseca, da Silva Verneque, Rui, da Silva, Marcos Vinicius GB, Arbex, Wagner
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2014
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4243330/
https://www.ncbi.nlm.nih.gov/pubmed/25573332
http://dx.doi.org/10.1186/1471-2164-15-S7-S4

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4243330/
https://www.ncbi.nlm.nih.gov/pubmed/25573332
http://dx.doi.org/10.1186/1471-2164-15-S7-S4

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