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. 2020 Jun 9;21:235. doi: 10.1186/s12859-020-03546-x

Fig. 1.

Fig. 1

Comparison between classical and machine-learnt (LE) encoding schemes for LSTM-based models of peptide-HLA-II interaction. The y-axis shows the area under the receiver operating characteristic curve, AUC, for the model predictions on the validation dataset (Val AUC). The x-axis shows the number of training cycles or epochs. a shows the performances of models trained on HLA-DRB1*15:01 data and b shows the model performances for HLA-DRB1*13:01 data