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Genomic Prediction from Multiple-Trait Bayesian Regression Methods Using Mixture Priors
Bayesian multiple-regression methods incorporating different mixture priors for marker effects are used widely in genomic prediction. Improvement in prediction accuracies from using those methods, such as BayesB, BayesC, and BayesCπ, have been shown in single-trait analyses with both simulated and r...
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| Udgivet i: | Genetics |
|---|---|
| Main Authors: | , , , , |
| Format: | Artigo |
| Sprog: | Inglês |
| Udgivet: |
Genetics Society of America
2018
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| Fag: | |
| Online adgang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5937171/ https://ncbi.nlm.nih.gov/pubmed/29514861 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1534/genetics.118.300650 |
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