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Table 2 Compared with other methods on the same benchmark datasets

From: i5mC-DCGA: an improved hybrid network framework based on the CBAM attention mechanism for identifying promoter 5mC sites

Predictor model

SN

SP

Acc

MCC

AUC

F1_score

PR-AUC

iPromoter-5mC(5-fold)

0.8578

0.8641

0.8629

0.6340

------

------

------

m5C-Hpromoter(5-fold)

0.8871

0.9048

0.9023

0.6831

------

0.7485

------

i5mC-DCGA(5-fold)

0.9702

0.9652

0.9658

0.8558

0.9866

0.8716

0.8611

i5mC-DCGA(test)

0.9950

0.9679

0.9711

0.8798

0.9912

0.8857

0.8822