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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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| Publicat a: | Genet Sel Evol |
|---|---|
| Autors principals: | , , , , , , |
| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
BioMed Central
2020
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| Matèries: | |
| Accés en línia: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7227313/ https://ncbi.nlm.nih.gov/pubmed/32414320 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12711-020-00544-8 |
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