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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