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Updated: Jun 3, 2025

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从基因组范围的关联研究中对因果基因的优先考虑,通过贝叶斯的数据整合跨位点的数据整合

Zeinab Mousavi1,2, Marios Arvanitis3, ThuyVy Duong3

  • 1Department of Biomedical Engineering, Johns Hopkins University, Baltimore, Maryland, United States of America.

PLoS computational biology
|January 8, 2025
PubMed
概括

从全基因组关联研究 (GWAS) 中识别因果基因是具有挑战性的. SigNet是一种新的贝叶斯方法,集成网络数据来优先考虑基因,改善复杂特征的因果基因预测.

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