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. 2020 Jul 13;36(Suppl 1):i399–i406. doi: 10.1093/bioinformatics/btaa479

Table 2.

Comparison of performance of MHCAttnNet with the state-of-the-art methods for class I MHC alleles

Model AUC- AUC- PCC PPV F1- Sensitivity
ROC PRC score
NetMHC4.0 0.8237 0.9048 0.5738 0.9486 0.8531 0.7757
MHCflurry 0.8234 0.9074 0.5624 0.9695 0.8230 0.7149
PUFFIN 0.8185 0.9129 0.5398 0.9668 0.8264 0.7215
MHCAttnNet (no attention) 0.8822 0.9380 0.7463 0.9643 0.9402 0.9303
MHCAttnNet 0.8893 0.9418 0.7570 0.9683 0.9422 0.9304

Note: The best performances are indicated in bold.