eMaize: Machine Learning for Traits Prediction

See https://arxiv.org/pdf/1808.06275.pdf

Also see my website page

Introduction

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.

Methods

We have tried many machine learning models which have many problems. Then we use two new models Mixed-Ridge and Metric-Regressor to try to solve the problem. We also try some more to try to solve the problem.

To Understand the key problems and methods solving it, please read Applying Machine Learning To Maize Traits Prediction.pdf and eMaize_report_2