eMaize: Machine Learning for Traits Prediction
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.
We proposed a new mixed linear model Mixed Ridge with Fast cross validation to pick parameters. We also propose Metric Regressor for few shot learning.
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