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Table 9 Results of different network architectures on S. cerevisiae, the adopted negative dataset is constructed by NIP-SS

From: Predicting protein-protein interactions using high-quality non-interacting pairs

Architectures

Data set

ACC

PE

RE

SPE

MCC

F 1

AUC

DNNs

Fold 1

94.08%

94.04%

94.17%

93.98%

88.15%

94.11%

98.24%

 

Fold 2

94.03%

94.36%

93.64%

94.42%

88.07%

94.00%

98.13%

 

Fold 3

94.57%

95.25%

93.66%

95.45%

89.14%

94.45%

98.17%

 

Fold 4

94.38%

94.99%

93.78%

94.98%

88.77%

94.38%

98.16%

 

Fold 5

94.19%

94.84%

93.50%

94.88%

88.39%

94.17%

98.03%

 

Average

94.25% ± 0.22%

94.70% ± 0.49%

93.75% ± 0.26%

94.74% ± 0.56%

88.5% ± 0.45%

94.22% ± 0.19%

98.15% ± 0.08%

DNNs-Con

Fold 1

91.92%

92.40%

91.27%

92.55%

83.84%

91.83%

97.15%

 

Fold 2

91.86%

93.87%

89.21%

94.40%

83.79%

91.48%

96.90%

 

Fold 3

91.58%

93.62%

89.32%

93.86%

83.26%

91.42%

96.83%

 

Fold 4

91.86%

93.65%

90.07%

93.70%

83.79%

91.83%

96.92%

 

Fold 5

91.42%

92.24%

90.53%

92.32%

82.86%

91.38%

96.93%

 

Average

91.73% ± 0.21% ∙

93.16% ± 0.77% ∙

90.08% ± 0.86% ∙

93.37% ± 0.89% ∙

83.51% ± 0.43% ∙

91.59% ± 0.23% ∙

96.95% ± 0.12% ∙

  1. ∙/∘ indicates whether our model is statistically (according to pairwise t-test at 95% significance level) superior/inferior to the DNNs-Con