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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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ゲノタイプから心電図を予測することによって,遺伝的発見と心血管リスク評価の強化

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
まとめ

私たちは,遺伝子データから心電図 (ECG) の特性を予測し,心血管疾患 (CVD) のリスク予測を改善し,早期の疾患検出を可能にするために,ディープラーニングモデルであるCapECGを開発しました.

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