Accurate prediction of the functional impact of missense variants is important in clinical genetic diagnostics and therapeutic strategies. Here the authors introduce a largest-to-date dataset of human missense variants labeled with their mode-of-action and a deep learning method to predict mode-of-action effects with state-of-the-art performance.
- Guojie Zhong
- Yige Zhao
- Yufeng Shen
