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Fig. 2 | BMC Bioinformatics

Fig. 2

From: MHCSeqNet: a deep neural network model for universal MHC binding prediction

Fig. 2

MHCSeqNet achieves the best AUC and F1 scores on MHC class I binding dataset. a Bar plots showing the AUC value of each tool when evaluated on the set of MHC alleles it supports (Supported Type) or on the set of MHC alleles supported by all tools (Common Type). b Similar bar plots showing F1 values. c The ROC plot for all tools when evaluated on the set of MHC alleles supported by all tools. Vertical black line indicates the 5% false discovery rate (FDR). Inset shows the zoomed in ROC plot for the region with ≤5% FDR. d Similar ROC plot for the evaluation on MHC alleles supported by individual tools

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