Skip to main content

Table 6 Effect of various features (DPC, PP, AAC, and ITB) for mono-methylarginine data set

From: PRMxAI: protein arginine methylation sites prediction based on amino acid spatial distribution using explainable artificial intelligence

Training feature

ACC (%)

SP (%)

SEN (%)

MCC

AAC

80.98

78.41

84.08

0.62

PP

73.31

77.21

70.38

0.47

DPC

73.00

66.12

90.11

0.50

ITB

50.17

55.08

55.81

0.01

AAC+PP

73.31

77.21

70.38

0.47

AAC+DPC

81.84

79.73

84.27

0.63

DPC+ITB

73.34

70.18

77.66

0.47

AAC+PP+DPC

73.31

77.21

70.38

0.47

PP+DPC+ITB

73.65

77.74

70.61

0.47

AAC+DPC+TTB

77.67

76.45

79.02

0.55

AAC+PP+DPC+ITB

87.17

87.58

86.76

0.74

Back to article page

BMC Bioinformatics

ISSN: 1471-2105

Contact us