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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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Bibliografiske detaljer
Udgivet i:Genet Sel Evol
Hovedforfatter: Waldmann, Patrik
Format: Artigo
Sprog:Inglês
Udgivet: BioMed Central 2016
Fag:
Online adgang: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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