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Table 5 Performance results between RP-FIRF model and the other methods on yeast dataset

From: Identification of self-interacting proteins by integrating random projection classifier and finite impulse response filter

Model

Acc (%)

Sp (%)

Sen (%)

MCC (%)

AUC

SLIPPER [6]

71.90

72.18

69.72

28.42

0.7723

DXECPPI [25]

87.46

94.93

29.44

28.25

0.6934

PPIevo [26]

66.28

87.46

60.14

18.01

0.6728

LocFuse [27]

66.66

68.10

55.49

15.77

0.7087

CRS [28]

72.69

74.37

59.58

23.68

0.7115

SPAR [28]

76.96

80.02

53.24

24.84

0.7455

Proposed method

97.35

99.96

77.03

86.31

0.8896

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BMC Genomics

ISSN: 1471-2164

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