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Updated: Jul 2, 2025

Determining the Likelihood of Variant Pathogenicity Using Amino Acid-level Signal-to-Noise Analysis of Genetic Variation
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Published on: January 16, 2019

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基于贝叶斯网络的门德尔随机化用于变体优先级和表型因果推理

Jianle Sun1, Jie Zhou1, Yuqiao Gong1

  • 1Department of Bioinformatics and Biostatistics, Shanghai Jiao Tong University, Shanghai, China.

Human genetics
|February 21, 2024
PubMed
概括

基于贝叶斯网络的门德尔随机化 (BNMR) 通过选择强大的遗传仪器来改善因果推理. 这种新的方法提高了理解复杂特征关系的准确性和统计能力.

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