Papers › Applying Machine Learning To Maize Traits Prediction
Applying Machine Learning To Maize Traits Prediction
Binbin Shi, Xupeng Chen
Heterosis is the improved or increased function of any biological quality in a hybrid offspring. We have studied yet the largest maize SNP dataset for traits prediction. We develop linear and non-linear models which consider relationships between different hybrids as well as other effect. Specially designed model proved to be efficient and robust in prediction maize's traits.
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