Deep learning based on biologically interpretable genome representation predicts two types of human adaptation of SARS-CoV-2 variants

Jing Li, Ya-Nan Wu, Sen Zhang, Xiao-Ping Kang, Tao Jiang. Deep learning based on biologically interpretable genome representation predicts two types of human adaptation of SARS-CoV-2 variants. Briefings in Bioinformatics, 23(3), 2022. [doi]

@article{LiWZKJ22,
  title = {Deep learning based on biologically interpretable genome representation predicts two types of human adaptation of SARS-CoV-2 variants},
  author = {Jing Li and Ya-Nan Wu and Sen Zhang and Xiao-Ping Kang and Tao Jiang},
  year = {2022},
  doi = {10.1093/bib/bbac036},
  url = {https://doi.org/10.1093/bib/bbac036},
  researchr = {https://researchr.org/publication/LiWZKJ22},
  cites = {0},
  citedby = {0},
  journal = {Briefings in Bioinformatics},
  volume = {23},
  number = {3},
}