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Table 6 Comparison of predicting performance between our method and other methods on yeast dataset

From: Computational methods using weighed-extreme learning machine to predict protein self-interactions with protein evolutionary information

Model

Ac (%)

Sp (%)

Sn (%)

MCC

SLIPPER [1]

71.90

72.18

69.72

0.2842

DXECPPI [33]

87.46

94.93

29.44

0.2825

PPIevo [34]

66.28

87.46

60.14

0.1801

LocFuse [35]

66.66

68.10

55.49

0.1577

CRS [22]

72.69

74.37

59.58

0.2368

SPAR [22]

76.96

80.02

53.24

0.2484

Proposed method

92.94

69.25

69.25

0.6765

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Journal of Cheminformatics

ISSN: 1758-2946

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