From: DeepHLAPred: a deep learning-based method for non-classical HLA binder prediction
HLA-E*01:03 | SN | SP | ACC | MCC | AUC |
---|---|---|---|---|---|
Model | Â | Â | Â | Â | Â |
 CNN | 0.8507 | 0.8221 | 0.8377 | 0.6760 | 0.9130 |
 Bi-LSTM | 0.8448 | 0.8063 | 0.8259 | 0.6518 | 0.9053 |
 CNN + Bi-LSTM (In series) | 0.8905 | 0.8235 | 0.8575 | 0.7168 | 0.9287 |
 CNN + CNN (In parallel) | 0.8509 | 0.8464 | 0.8488 | 0.6974 | 0.9164 |
 Bi-LSTM + Bi-LSTM (In parallel) | 0.8511 | 0.8167 | 0.8346 | 0.6694 | 0.9031 |
 DeepHLAPred | 0.8971 | 0.8656 | 0.8812 | 0.7631 | 0.9384 |