Bayesian neural networks with variable selection for prediction of genotypic values

BACKGROUND: Estimating the genetic component of a complex phenotype is a complicated problem, mainly because there are many allele effects to estimate from a limited number of phenotypes. In spite of this difficulty, linear methods with variable selection have been able to give good predictions of a...

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Detalles Bibliográficos
Autores principales: van Bergen, Giel H. H., Duenk, Pascal, Albers, Cornelis A., Bijma, Piter, Calus, Mario P. L., Wientjes, Yvonne C. J., Kappen, Hilbert J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7227313/
https://www.ncbi.nlm.nih.gov/pubmed/32414320
http://dx.doi.org/10.1186/s12711-020-00544-8

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7227313/
https://www.ncbi.nlm.nih.gov/pubmed/32414320
http://dx.doi.org/10.1186/s12711-020-00544-8

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