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Table 7 The proposed predictor is compared to existing predictors

From: N6-methyladenine identification using deep learning and discriminative feature integration

Species

Model

ACC (%)

SN (%)

SP (%)

MCC

F. vesca

I6mA-Fuse [13]

93.40

90.80

95.7

0.873

I6mA-stack [14]

93.76

93.25

94.30

0.875

Proposed Deep-N6mA

97.70

98.01

97.30

0.951

R. chinensis

I6mA-Fuse [13]

91.60

88.10

95.0

0.851

I6mA-stack [14]

90.79

90.00

91.61

0.815

Proposed Deep-N6mA

95.75

96.45

94.55

0.921

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BMC Medical Genomics

ISSN: 1755-8794

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