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Article

Bayesian neural networks with variable selection for prediction of genotypic values.

Genetics, selection, evolution : GSE - 15 May 2020

van Bergen Giel H H, Duenk Pascal, Albers Cornelis A, Bijma Piter, Calus Mario P L, Wientjes Yvonne C J, Kappen Hilbert J

Abstract excerpt

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 additive effects of individuals. However, prediction of non-additive genetic effects is challenging with the usual...

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PMID: 32414320
DOI: 10.1186/s12711-020-00544-8
PMCID: PMC7227313

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