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Applying Machine Learning To Maize Traits Prediction

Machine Learning 2020-07-02 v2 Machine Learning

Abstract

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.

Cite

@article{arxiv.1808.06275,
  title  = {Applying Machine Learning To Maize Traits Prediction},
  author = {Binbin Shi and Xupeng Chen},
  journal= {arXiv preprint arXiv:1808.06275},
  year   = {2020}
}

Comments

outdated work

R2 v1 2026-06-23T03:37:54.086Z