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Table 3 Results on benchmark dataset of different predictors through jackknife validation.

From: Identifying DNA-binding proteins by combining support vector machine and PSSM distance transformation

metric

ACC (%)

MCC

SN (%)

SP (%)

AUC(%)

DNAbinder(dimension 21)a

73.95

0.480

68.57

79.09

81.40

DNAbinder(dimension 400)b

73.58

0.470

66.47

80.36

81.50

DNA-Protc

72.55

0.440

82.67

59.76

78.90

iDNA-Protd

75.40

0.500

83.81

64.73

76.10

PSSM-DTf

79.96

0.622

81.91

78.00

86.50

  1. The four methods in the front of the table are four state-of-the-art predicting methods for identification of DNA-binding proteins proposed in the past and were demonstrated to have good performance. The results of the four existing methods and SVM-PSSM-DT were got by testing on benchmark dataset through jackknife validation.
  2. aresults obtained by in-house implementation of DNAbinder [21]
  3. bresults obtained by in-house implementation of DNAbinder [21]
  4. cresults obtained by in-house implementation of DNA-Prot [74]
  5. dresults obtained by in-house implementation of iDNA-Prot [16]
  6. fresults obtained by using PSSM-DT as protein representation