From: DeepHLAPred: a deep learning-based method for non-classical HLA binder prediction
HLA-G*01:04 | SN | SP | ACC | MCC | AUC |
---|---|---|---|---|---|
Model | Â | Â | Â | Â | Â |
 CNN | 0.9264 | 0.9365 | 0.933 | 0.8627 | 0.9782 |
 Bi-LSTM | 0.9236 | 0.9234 | 0.9236 | 0.8475 | 0.9729 |
 CNN + Bi-LSTM (In series) | 0.9457 | 0.9394 | 0.9386 | 0.8858 | 0.9836 |
 CNN + CNN (In parallel) | 0.9310 | 0.9396 | 0.9354 | 0.8727 | 0.9802 |
 Bi-LSTM + Bi-LSTM (In parallel) | 0.9211 | 0.9434 | 0.9323 | 0.8657 | 0.9760 |
 DeepHLAPred | 0.9545 | 0.9630 | 0.9587 | 0.9179 | 0.9855 |