"TransformerCPI: improving compound-protein interaction prediction by ..."

Lifan Chen et al. (2020)

> Home

Details and statistics

DOI: 10.1093/BIOINFORMATICS/BTAA524

access: closed

type: Journal Article

metadata version: 2022-07-28

- view
  - electronic edition via DOI
  - unpaywalled version
  authority control:
- export record
  dblp key:
  - journals/bioinformatics/ChenTWZLYLCJZE20
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/bioinformatics/ChenTWZLYLCJZE20
Lifan Chen, Xiaoqin Tan, Dingyan Wang, Feisheng Zhong, Xiaohong Liu, Tianbiao Yang, Xiaomin Luo, Kaixian Chen, Hualiang Jiang, Mingyue Zheng, Arne Elofsson:
TransformerCPI: improving compound-protein interaction prediction by sequence-based deep learning with self-attention mechanism and label reversal experiments. Bioinform. 36(16): 4406-4414 (2020)

manage site settings

To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.