EXGEP:使.

Tingxi Yu1,2, Hao Zhang1,2, Shoukun Chen1,2

  • 1State Key Laboratory of Crop Gene Resources and Breeding, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, International Maize and Wheat Improvement Center (CIMMYT)-China Office, No. 12 Zhongguancun South Street, Haidian District, Beijing 100081, China.

PubMed
概括

我们开发了EXGEP,一个可解释的机器学习框架,通过分析基因型与环境相互作用来预测作物谷物产量. EXGEP显著提高了预测准确性,并提供了对影响作物特征的遗传和环境因素的见解.

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