Cargando…
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...
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: | |
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 |
Ejemplares similares
-
Zero-inflated Poisson regression models for QTL mapping applied to tick-resistance in a Gyr × Holstein F2 population
por: Silva, Fabyano Fonseca, et al.
Publicado: (2011) -
Genetic Parameters for Milk Yield and Lactation Persistency Using Random Regression Models in Girolando Cattle
por: Canaza-Cayo, Ali William, et al.
Publicado: (2015) -
Genomic Predictions Using Low-Density SNP Markers, Pedigree and GWAS Information: A Case Study with the Non-Model Species Eucalyptus cladocalyx
por: Ballesta, Paulina, et al.
Publicado: (2020) -
Multi-Trait GWAS and New Candidate Genes Annotation for Growth Curve Parameters in Brahman Cattle
por: Crispim, Aline Camporez, et al.
Publicado: (2015) -
The association of lncRNA SNPs and SNPs‐environment interactions based on GWAS with HBV‐related HCC risk and progression
por: Liu, Qing, et al.
Publicado: (2021)