From: DeepHLAPred: a deep learning-based method for non-classical HLA binder prediction
HLA-G*01:03 | SN | SP | ACC | MCC | AUC |
---|---|---|---|---|---|
Model | Â | Â | Â | Â | Â |
 CNN | 0.9372 | 0.9039 | 0.9208 | 0.8424 | 0.9726 |
 Bi-LSTM | 0.9257 | 0.9241 | 0.9248 | 0.8499 | 0.9716 |
 CNN + Bi-LSTM (In series) | 0.9281 | 0.9402 | 0.9341 | 0.8686 | 0.9786 |
 CNN + CNN (In parallel) | 0.9321 | 0.9333 | 0.9328 | 0.8656 | 0.9748 |
 Bi-LSTM + Bi-LSTM (In parallel) | 0.9309 | 0.9437 | 0.9374 | 0.8749 | 0.9703 |
 DeepHLAPred | 0.9454 | 0.9626 | 0.9541 | 0.9083 | 0.9812 |