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Genome-wide prediction using Bayesian additive regression trees
BACKGROUND: The goal of genome-wide prediction (GWP) is to predict phenotypes based on marker genotypes, often obtained through single nucleotide polymorphism (SNP) chips. The major problem with GWP is high-dimensional data from many thousands of SNPs scored on several thousands of individuals. A la...
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| Publicado no: | Genet Sel Evol |
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| Autor principal: | |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
BioMed Central
2016
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4901500/ https://ncbi.nlm.nih.gov/pubmed/27286957 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12711-016-0219-8 |
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