From: DeepHLAPred: a deep learning-based method for non-classical HLA binder prediction
HLA-E*01:01 | SN | SP | ACC | MCC | AUC |
---|---|---|---|---|---|
Model | Â | Â | Â | Â | Â |
 CNN | 0.8497 | 0.8512 | 0.8521 | 0.7050 | 0.9540 |
 Bi-LSTM | 0.8666 | 0.852 | 0.8588 | 0.7174 | 0.9209 |
 CNN + Bi-LSTM (In series) | 0.8475 | 0.8730 | 0.8629 | 0.7234 | 0.9356 |
 CNN + CNN (In parallel) | 0.9012 | 0.8588 | 0.8802 | 0.7605 | 0.9509 |
 Bi-LSTM + Bi-LSTM (In parallel) | 0.8721 | 0.8665 | 0.8690 | 0.7378 | 0.9391 |
 DeepHLAPred | 0.9413 | 0.9013 | 0.9226 | 0.8455 | 0.9595 |