Joint genome-wide prediction in several populations accounting for randomness of genotypes: a hierarchical Bayes approach. I: Multivariate Gaussian priors for marker effects and derivation of the joint probability mass function of genotypes (Q2399621)
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| Language | Label | Description | Also known as |
|---|---|---|---|
| English | Joint genome-wide prediction in several populations accounting for randomness of genotypes: a hierarchical Bayes approach. I: Multivariate Gaussian priors for marker effects and derivation of the joint probability mass function of genotypes |
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Joint genome-wide prediction in several populations accounting for randomness of genotypes: a hierarchical Bayes approach. I: Multivariate Gaussian priors for marker effects and derivation of the joint probability mass function of genotypes (English)
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24 August 2017
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across population genome-enabled prediction
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Bayesian modeling
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heterogeneous allelic frequencies
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distribution of genotypes
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