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Fig. 4 | BMC Bioinformatics

Fig. 4

From: Amino acid encoding for deep learning applications

Fig. 4

A comparison between classical encoding and random frozen embedding (FE). 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. The y-axis of a & b shows the area under the receiver operating characteristic curve, AUC, for the model predictions on the validation dataset (Val AUC), while, the x-axis shows the number of training cycles or epochs. c is the performance of PPI model trained on different fractions of the training data. The y-axis shows the accuracy on the validation dataset while the x-axis shows the fraction of training data used while error bars represent one standard-deviation from the mean of five repetitions

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