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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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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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BioMed Central
2016
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4901500/ https://www.ncbi.nlm.nih.gov/pubmed/27286957 http://dx.doi.org/10.1186/s12711-016-0219-8 |