DeepAR: a novel deep learning-based hybrid framework for the interpretable prediction of androgen receptor antagonists

Geahča maid

• DeepAR: a novel deep learning-based hybrid framework for the interpretable prediction of androgen receptor antagonists
  Dahkki: Nalini Schaduangrat, et al.
  Almmustuhtton: (2023-05-01)
• StackTTCA: a stacking ensemble learning-based framework for accurate and high-throughput identification of tumor T cell antigens
  Dahkki: Phasit Charoenkwan, et al.
  Almmustuhtton: (2023-07-01)
• Computational prediction and interpretation of druggable proteins using a stacked ensemble-learning framework
  Dahkki: Phasit Charoenkwan, et al.
  Almmustuhtton: (2022-09-01)
• TIPred: a novel stacked ensemble approach for the accelerated discovery of tyrosinase inhibitory peptides
  Dahkki: Phasit Charoenkwan, et al.
  Almmustuhtton: (2023-09-01)
• StackER: a novel SMILES-based stacked approach for the accelerated and efficient discovery of ERα and ERβ antagonists
  Dahkki: Nalini Schaduangrat, et al.
  Almmustuhtton: (2023-12-01)