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Updated: Sep 10, 2025

Large-Scale Multi-Omics Genome-Wide Association Studies Mo-GWAS: Guidelines for Sample Preparation and Normalization
08:27

Large-Scale Multi-Omics Genome-Wide Association Studies Mo-GWAS: Guidelines for Sample Preparation and Normalization

Published on: July 27, 2021

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在综合基因预测和机器学习-GWAS工作流程中解开大豆GxE效应

Niel Verbrigghe1, Hilde Muylle2, Marie Pegard3

  • 1Plant Sciences Unit, Flanders Research Institute for Agriculture, Fisheries and Food (ILVO), Melle, Belgium. niel.verbrigghe@ilvo.vlaanderen.be.

Plant methods
|August 26, 2025
PubMed
概括

通过整合基因型对环境 (GxE) 相互作用来改进基因组预测模型. 结合基因预测和机器学习全基因组关联研究 (ML-GWAS) 的新方法提高了预测能力,并确定了大豆中的关键遗传标记.

关键词:
在GWAS基因组预测美国机器学习随机森林大豆

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