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Table 2 Performance comparison of PDA-PRGCN against five baseline methods on piRDisease dataset

From: PDA-PRGCN: identification of Piwi-interacting RNA-disease associations through subgraph projection and residual scaling-based feature augmentation

Method

Accuracy

Precision

F1-score

Recall

AUC

AUPR

LPI-deepGBDT

0.480

0.379

0.107

0.062

0.810

0.625

iPiDi-PUL

0.739

0.773

0.722

0.677

0.859

0.875

iPiDA-sHN

0.864

0.855

0.815

0.779

0.887

0.834

GAPDA

0.857

0.855

0.858

0.864

0.904

0.894

SPRDA

0.868

0.900

0.876

0.853

0.916

0.876

PDA-PRGCN

0.928

0.914

0.929

0.945

0.963

0.933