Predicting complex quantitative traits with Bayesian neural networks: a case study with Jersey cows and wheat.

BACKGROUND: In the study of associations between genomic data and complex phenotypes there may be relationships that are not amenable to parametric statistical modeling. Such associations have been investigated mainly using single-marker and Bayesian linear regression models that differ in their dis... View More