Table 3 Comparison with other state-of-the-art methods on the dataset 2.

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

0.7600

0.6824

0.8248

0.5144

0.7891

0.8419

0.8487

HemoPred

0.7815

0.7500

0.8079

0.5589

0.8011

0.8615

0.8827

HLPpred-Fuse

0.7753

0.7229

0.8192

0.5457

0.7988

0.8622

0.8810

HAPPENN

0.7630

0.7027

0.8135

0.5206

0.7890

0.8618

0.8658

HemoPImod

0.7600

0.7940

0.8022

0.5146

0.7845

0.8362

0.8447

HemoNet

0.7876

0.7162

0.8474

0.5709

0.8130

0.8629

0.8653

AMPDeep

0.7907

0.7500

0.8248

0.5771

0.8111

0.8559

0.8737

EnDL-HemoLyt

0.7969

0.7567

0.8305

0.5896

0.8166

0.8663

0.8716

HemoDL

0.8153

0.7567

0.8644

0.6270

0.8360

0.8900

0.9009

HemoFuse

0.7908

0.7162

0.8531

0.5773

0.8162

0.8554

0.8890

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