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Approximate Bayesian neural networks in genomic prediction
BACKGROUND: Genome-wide marker data are used both in phenotypic genome-wide association studies (GWAS) and genome-wide prediction (GWP). Typically, such studies include high-dimensional data with thousands to millions of single nucleotide polymorphisms (SNPs) recorded in hundreds to a few thousands...
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| Publicado no: | Genet Sel Evol |
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| Autor principal: | |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
BioMed Central
2018
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6303864/ https://ncbi.nlm.nih.gov/pubmed/30577737 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12711-018-0439-1 |
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