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Updated: Feb 19, 2026

Determining the Likelihood of Variant Pathogenicity Using Amino Acid-level Signal-to-Noise Analysis of Genetic Variation
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Determining the Likelihood of Variant Pathogenicity Using Amino Acid-level Signal-to-Noise Analysis of Genetic Variation

Published on: January 16, 2019

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通过从基因型预测心电图,加强遗传发现和心血管风险评估

Siying Lin1,2, Yuedong Yang3, Huiying Zhao4

  • 1School of Computer Science and Engineering, Sun Yat-sen University, Guangzhou, China.

NPJ digital medicine
|February 17, 2026
PubMed
概括

我们开发了CapECG,这是一种深度学习模型,可以从遗传数据中预测心电图 (ECG) 的特征,改善心血管疾病 (CVD) 风险预测,并使早期疾病检测成为可能.

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