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Updated: Feb 28, 2026

Large-Scale Multi-Omics Genome-Wide Association Studies Mo-GWAS: Guidelines for Sample Preparation and Normalization
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大型语言模型在复杂的特征GWAS中识别因果基因

Suyash S Shringarpure1, Wei Wang2, Sotiris Karagounis2

  • 123andMe Inc., Palo Alto, CA, USA, suyashss@gmail.com.

Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing
|February 27, 2026
PubMed
概括

大型语言模型 (LLM) 在全基因组关联研究 (GWAS) 位置上准确识别因果基因. 这些模型提供了一个可扩展和可泛化的方法来加速复杂特征的遗传发现.

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