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Table 7 Performance of LPI-MFF and other previous RPI prediction methods on RP1168

From: Predicting lncRNA–protein interactions through deep learning framework employing multiple features and random forest algorithm

Dataset

Method

ACC (%)

SEN (%)

SPE (%)

PPV (%)

F1 (%)

MCC

AUC (%)

 

RPITER

69.82

54.81

92.15

70.10

90.56

0.4451

57.14

 

IPMiner

77.43

73.55

88.17

69.28

56.14

0.7915

77.20

RPI1168

EDLMFC

81.46

87.85

76.14

72.39

84.15

0.6894

85.27

 

lncPro

61.20

51.14

69.25

63.97

50.67

0.4115

46.12

 

LPI-MFF

84.96

92.10

77.24

79.51

85.97

0.7214

88.97

  1. Bold values represent the maximum value of the corresponding evaluation indicator
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BMC Bioinformatics

ISSN: 1471-2105

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