Yige Zhao
I mainly work on 1. predicting functional and fitness effect of missense variants; 2. Developing probabilistic graphical model to identify risk genes in rare genetic diseases.
Zhang H, Zhou Y, Wang Y, Zhao Y, Qiu Y, Zhang X, Yue D, Zhou Z, Wei W. A surrogate reporter system for multiplexable evaluation of CRISPR/Cas9 in targeted mutagenesis. Scientific reports. 2018 Jan 18;8(1):1042.
Qi, H., Zhang, H., Zhao, Y. et al. MVP predicts the pathogenicity of missense variants by deep learning. Nat Commun 12, 510 (2021).