An evaluation of the interpretability and predictive performance of the BayesR model for genomic prediction

Abstract Background: Technological advances and decreasing costs have led to the rise of increasingly dense genotyping data, making feasible the identification of potential causal or candidate markers. Custom genotyping chips, which represent a cost-effective strategy to combine medium-density genot... View More