Article

Predicting functional effect of missense variants using graph attention neural networks

2021-04-23

Abstract excerpt

Accurate prediction of damaging missense variants is critically important for interpreting genome sequence. While many methods have been developed, their performance has been limited. Recent progress in machine learning and availability of large-scale population genomic sequencing data provide new opportunities to significantly improve computational predictions. Here we describe gMVP, a new method based on graph a...

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Literature Corpus work: a2ef1503-a3f8-528a-b46d-4478f8ad2d83
DOI: 10.1101/2021.04.22.441037

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