Adapt-Kcr: a novel deep learning framework for accurate prediction of lysine crotonylation sites based on learning embedding features and attention architecture

Zutan Li, Jingya Fang, Shining Wang, Liangyun Zhang, Yuanyuan Chen, Cong Pian. Adapt-Kcr: a novel deep learning framework for accurate prediction of lysine crotonylation sites based on learning embedding features and attention architecture. Briefings in Bioinformatics, 23(2), 2022. [doi]

@article{LiFWZCP22,
  title = {Adapt-Kcr: a novel deep learning framework for accurate prediction of lysine crotonylation sites based on learning embedding features and attention architecture},
  author = {Zutan Li and Jingya Fang and Shining Wang and Liangyun Zhang and Yuanyuan Chen and Cong Pian},
  year = {2022},
  doi = {10.1093/bib/bbac037},
  url = {https://doi.org/10.1093/bib/bbac037},
  researchr = {https://researchr.org/publication/LiFWZCP22},
  cites = {0},
  citedby = {0},
  journal = {Briefings in Bioinformatics},
  volume = {23},
  number = {2},
}