"DeepAR: a novel deep learning-based hybrid framework for the interpretable ..."

Nalini Schaduangrat et al. (2023)

> Home

Details and statistics

DOI: 10.1186/S13321-023-00721-Z

access: open

type: Journal Article

metadata version: 2023-06-08

- view
  - electronic edition via DOI (open access)
  authority control:
- export record
  dblp key:
  - journals/jcheminf/SchaduangratACS23
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/jcheminf/SchaduangratACS23
Nalini Schaduangrat, Nuttapat Anuwongcharoen, Phasit Charoenkwan, Watshara Shoombuatong:
DeepAR: a novel deep learning-based hybrid framework for the interpretable prediction of androgen receptor antagonists. J. Cheminformatics 15(1): 50 (2023)

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.