相关实验视频

Updated: Jun 21, 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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探索基于贝叶斯稀疏因子模型的策略,用于对成千上万的中红外光谱特征进行基因分析,用于动物繁殖

Yansen Chen1, Hadi Atashi2, Jiayi Qu3

  • 1TERRA Teaching and Research Center, University of Liège, Gembloux Agro-Bio Tech (ULiège-GxABT), 5030 Gembloux, Belgium.

Journal of dairy science
|July 5, 2024
PubMed
概括

这项研究表明,使用大型线性混合模型 (MegaLMM) 的千特征 (TT) 模型显著改善了动物育种中的表型和育种价值预测. 新的近似方法增强了MegaLMMM的性能.

关键词:
巨大的LMMMM甲是一种甲.牛奶中等红外线的红外线现象学 现象学 现象学

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