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Table 1 Results on benchmark dataset of different features through jackknife validation.

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

Methods

Acc(%)

MCC

SN(%)

SP(%)

PSSM-DDTa

79.72

0.607

81.33

78.18

PSSM-SDTb

74.79

0.512

77.147

74.93

PSSM-DTc

79.96

0.622

81.91

78.00

  1. PSSM-DT can extract two kinds protein features, called PSSM-DDT and PSSM-SDT respectively. And PSSM-DT represents the combination of PSSM-DDT and PSSM-SDT. The results were got by testing the models on benchmark dataset through jackknife validation.
  2. athe predictor using PSSM-DDT as protein representation
  3. bthe predictor using PSSM-SDT as protein representation
  4. cthe predictor using PSSM-DT as protein representation
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BMC Systems Biology

ISSN: 1752-0509

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