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Updated: Sep 9, 2025

Author Spotlight: Advancing Alzheimer's Research – Exploring Early Detection and Multi-Omics Approaches
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深度注释:一种基于深度学习的新型可解释的基因组选择模型,集成了全面的功能注释

Wenlong Ma1,2, Weigang Zheng1,2,3, Shenghua Qin1,2

  • 1State Key Laboratory of Genome and Multi-omics Technologies, Shenzhen Branch, Guangdong Laboratory for Lingnan Modern Agriculture, Key Laboratory of Livestock and Poultry Multi-Omics of MARA, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen 518124, China.

GigaScience
|August 28, 2025
PubMed
概括

深度注释是一种新的深度学习模型,通过整合多组学数据来增强基因组选择,从而更好地预测表型. 这种可解释的方法提高了准确性,并确定了畜牧业的因果性SNP.

关键词:
因果性的SNP深度学习基因组选择中级分子表型可解释性多组学功能注释

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