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

January 2011
BMC Genetics;2011, Vol. 12 Issue 1, p87
Academic Journal
Case Study
The article presents a case study investigating various Bayesian artificial neural networks (ANN) architectures using for predicting phenotypes in two data sets consisting of milk production in Jersey cows and yield of inbred lines of wheat. The study suggests that neural networks are likely to be useful for predicting complex traits using highdimensional genomic information.


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