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Table 2 Comparisons with other published methods

From: Discrimination of outer membrane proteins with improved performance

 

MCC

Accuracy (%)

Sensitivity (%)

Specificity (%)

WED (homologous + feature selection)a

0.894

97.4

91.1

98.4

Deviation Distance [15]

0.541

82.4

78.8

83.3

Neural Network [19]b

0.716

91.0

79.3

93.8

Support Vector Machine c [16]

0.816

93.9

90.9

94.7

  1. a. The method proposed in this study.
  2. b. In their study, Gromiha and Suwa [19] evaluated 11 different methods. Neural network was reported to be the best.
  3. c. The statistics are obtained from the original publications [16, 19]. In the original publications, only Accuracy, Sensitivity and Specificity were reported. Here, we calculate the MCC based on their published statistics.
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BMC Bioinformatics

ISSN: 1471-2105

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