Table 1  Results on benchmark dataset of different features through jackknife validation.
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
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.
athe predictor using PSSM-DDT as protein representation
bthe predictor using PSSM-SDT as protein representation
cthe predictor using PSSM-DT as protein representation