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Table 7 Effect of various features (DPC, PP, AAC, and ITB) for di-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

82.27

80.72

84.00

0.64

PP

72.25

76.44

69.21

0.45

DPC

74.68

68.45

87.26

0.52

ITB

52.32

51.27

63.09

0.08

AAC+PP

72.25

76.44

69.21

0.45

AAC+DPC

83.86

83.22

84.51

0.67

DPC+ITB

69.19

68.49

69.95

0.38

AAC+PP+DPC

72.25

76.44

69.21

0.45

PP+DPC+ITB

72.89

77.74

69.47

0.46

AAC+DPC+ITB

74.57

75.60

73.63

0.49

AAC+PP+DPC+ITB

90.40

91.72

89.16

0.80

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BMC Bioinformatics

ISSN: 1471-2105

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