Pages that link to "Item:Q2399621"
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The following pages link to 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):
Displaying 5 items.
- Incorporating genetic heterogeneity in whole-genome regressions using interactions (Q906068) (← links)
- An integrated approach to empirical Bayesian whole genome prediction modeling (Q906069) (← links)
- Genomic prediction models for count data (Q906073) (← links)
- Modeling correlated marker effects in genome-wide prediction via Gaussian concentration graph models (Q1752364) (← links)
- Joint genome-wide prediction in several populations accounting for randomness of genotypes: a hierarchical Bayes approach. II: Multivariate spike and slab priors for marker effects and derivation of approximate Bayes and fractional Bayes factors for the c (Q2399628) (← links)
