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Fig. 2 | BMC Bioinformatics

Fig. 2

From: DeepNetBim: deep learning model for predicting HLA-epitope interactions based on network analysis by harnessing binding and immunogenicity information

Fig. 2

Improved performance of integrating network metrics in DeepNetBim. a Absolute error for binding affinity prediction and b accuracy rate for immunogenic prediction of the original model (coloured in blue) and the PepOnly model (coloured in white) for the 6 most frequent alleles in the test dataset. c Absolute error for binding affinity prediction and d ROC curve for immunogenic prediction of the original network, shuffle networks (shuffled network edge weights) and random network (reassigned network weights by uniform distribution) in the test dataset

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