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Table 2 The average values of the evaluation metrics in 5 folds for different state-of-the-art algorithms based on the benchmark dataset

From: CircWalk: a novel approach to predict CircRNA-disease association based on heterogeneous network representation learning

Algorithm

Acc (%)

F1 (%)

Pr (%)

Se (%)

Sp (%)

AUC (%)

CircWalk

92.09

92.08

92.36

91.83

92.35

97.77

DMFCDA

83.69

83.69

81.55

87.79

79.6

83.69

GCNCDA

74.52

74.9

73.79

76.17

72.87

82.72

SIMCCDA

83.36

16.4

9.1

84.54

83.34

73.3

GMNN2CD

99.09

85.52

72.63

63.36

99.78

96.69

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BMC Bioinformatics

ISSN: 1471-2105

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