Table 4 Comparison with other state-of-the-art methods on the dataset 3.

From: HemoFuse: multi-feature fusion based on multi-head cross-attention for identification of hemolytic peptides

Model

ACC

SP

SN

MCC

F1

AUC

AP

HemoPI

0.8382

0.8861

0.7702

0.6641

0.7973

0.9021

0.8647

HemoPred

0.8435

0.8838

0.7864

0.6756

0.8059

0.9079

0.8559

HLPpred-Fuse

0.8221

0.8587

0.7702

0.6319

0.7816

0.9031

0.8625

HAPPENN

0.8462

0.8883

0.7864

0.6810

0.8086

0.9041

0.8646

HemoPImod

0.8368

0.8792

0.7766

0.6616

0.7973

0.8950

0.8350

HemoNet

0.8368

0.8792

0.7766

0.6616

0.7973

0.9040

0.8460

AMPDeep

0.8475

0.9066

0.7637

0.6835

0.8054

0.8988

0.8669

EnDL-HemoLyt

0.8315

0.8861

0.7540

0.6499

0.7871

0.9005

0.8666

HemoDL

0.8703

0.9179

0.8025

0.7311

0.8364

0.9245

0.8851

HemoFuse

0.8810

0.8884

0.8706

0.7559

0.8581

0.9448

0.9198

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