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Bayesian regression methods for genomic prediction and genome-wide association studies Introduction Advancement in technologies of next-generation sequencing and SNP arrays has stimulated the development of whole-genome regression methods for genome-wide prediction and association studies in the past several decades. These whole-genome regression methods are able to impose a wide range of assumptions about the distributions on the effect sizes of causal variants and allow for inference of the causal...
Bayesian regression methods for genomic prediction and genome-wide association studies Introduction Advancement in technologies of next-generation sequencing and SNP arrays has stimulated the development of whole-genome regression methods for genome-wide prediction and association studies in the past several decades. These whole-genome regression methods are able to impose a wide range of assumptions about the distributions on the effect sizes of causal variants and allow for inference of the causal...
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