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Table 4 Comparison of the overall success rate between four traditional models and sequence information model on Dataset 1 and Dataset 2

From: Accurate classification of membrane protein types based on sequence and evolutionary information using deep learning

Method

Dataset 1

Dataset 2

 

Overall success rate

Overall success rate

AAC+RF

85.02%

79.55%

DipC+RF

86.12%

80.88%

TipC+RF

84.21%

79.00%

PseAAC+RF

85.74%

80.27%

Our model

91.58%

89.18%

  1. Note: Best performing method in bold.
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BMC Bioinformatics

ISSN: 1471-2105

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