VPatho: a deep learning-based two-stage approach for accurate prediction of gain-of-function and loss-of-function variants

Fang Ge, Chen Li 0021, Shahid Iqbal, Muhammad Arif 0012, Fuyi Li, Maha A. Thafar, Zihao Yan, Apilak Worachartcheewan, Xiaofeng Xu, Jiangning Song, Dong-jun Yu. VPatho: a deep learning-based two-stage approach for accurate prediction of gain-of-function and loss-of-function variants. Briefings in Bioinformatics, 24(1), January 2023. [doi]

@article{GeLIALTYWXSY23,
  title = {VPatho: a deep learning-based two-stage approach for accurate prediction of gain-of-function and loss-of-function variants},
  author = {Fang Ge and Chen Li 0021 and Shahid Iqbal and Muhammad Arif 0012 and Fuyi Li and Maha A. Thafar and Zihao Yan and Apilak Worachartcheewan and Xiaofeng Xu and Jiangning Song and Dong-jun Yu},
  year = {2023},
  month = {January},
  doi = {10.1093/bib/bbac535},
  url = {https://doi.org/10.1093/bib/bbac535},
  researchr = {https://researchr.org/publication/GeLIALTYWXSY23},
  cites = {0},
  citedby = {0},
  journal = {Briefings in Bioinformatics},
  volume = {24},
  number = {1},
}