Table 2 Evaluation of method performance on the pirdisease v1.0 dataset.

From: MambaCAttnGCN+: a comprehensive framework integrating MambaTextCNN, cross-attention and graph convolution network for piRNA-disease association prediction

Model

Rank index

AUC

AUPR

ETGPDA[*21

0.0927\(\:\pm\:\)0.0100

0.9309\(\:\pm\:\)0.0106

0.4494\(\:\pm\:\)0.1400

iPiDi-PUL(DT)[+19

0.3860\(\:\pm\:\)0.0576

0.6222\(\:\pm\:\)0.0596

0.0911\(\:\pm\:\)0.0155

iPiDi-PUL(SVM)[+19

0.2923\(\:\pm\:\)0.0104

0.7252\(\:\pm\:\)0.0113

0.1334\(\:\pm\:\)0.0057

iPiDi-PUL(RF)[+19

0.2641\(\:\pm\:\)0.0209

0.7585\(\:\pm\:\)0.0229

0.1826\(\:\pm\:\)0.0184

iPiDA-GCN*20

0.1012\(\:\pm\:\)0.0137

0.9219\(\:\pm\:\)0.0145

0.4277\(\:\pm\:\)0.0717

iPiDA-SWGCN*22

0.0949\(\:\pm\:\)0.0148

0.9285\(\:\pm\:\)0.0157

0.4510\(\:\pm\:\)0.0295

iPiDA-GBNN*25

0.2085\(\:\pm\:\)0.0762

0.8074\(\:\pm\:\)0.0818

0.3283\(\:\pm\:\)0.0711

piRDA*7

0.0903\(\:\pm\:\)0.0035

0.9334\(\:\pm\:\)0.0037

0.3587\(\:\pm\:\)0.0107

PUTransGCN*26

0.0743\(\:\pm\:\)0.0058

0.9500\(\:\pm\:\)0.0064

0.6794\(\:\pm\:\)0.0167

MambaCAttnGCN+*

0.0716\(\:\pm\:\)0.0031

0.9530\(\:\pm\:\)0.0035

0.6848\(\:\pm\:\)0.0112

  1. *Represents deep learning approaches, and +represents machine learning approaches.