MVP predicts the pathogenicity of missense variants by deep learning

MVP predicts the pathogenicity of missense variants by deep learning

Accurate prediction of variant pathogenicity is essential to understanding genetic risks in disease. Here, the authors present a deep neural network method for prediction of missense variant pathogenicity, MVP, and demonstrate its utility in prioritizing de novo variants contributing to developmenta...

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Bibliographic Details
Main Authors: Hongjian Qi, Haicang Zhang, Yige Zhao, Chen Chen, John J. Long, Wendy K. Chung, Yongtao Guan, Yufeng Shen
Format: article
Language:EN
Published: Nature Portfolio 2021
Subjects:
Science
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Online Access:https://doaj.org/article/00b2a98c75c843c688e0cc486648e40e
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