Table 3

Combination of different feature groups and performance comparison based on 5-fold cross-validation tests on ATP168 and ATP227
Composition of different features Sen (%) Spe (%) Acc (%) AUC
ATP168 PSSM 75.67 75.71 75.82 0.8410
LogisticPSSMa 76.28 76.62 76.60 0.8493
LogisticPSSM + Bipro-aa 76.90 77.19 77.18 0.8553
LogisticPSSM + Bipro-dis 76.64 77.09 77.07 0.8537
LogisticPSSM + Bipro-sa 77.00 77.48 77.46 0.8562
LogisticPSSM + Bipro-ss 77.35 77.58 77.56 0.8579
LogisticPSSM + Bipro-allb 77.00 77.32 77.30 0.8569
ATP227 PSSM 78.31 78.16 78.16 0.8609
LogisticPSSMa 79.17 79.59 79.57 0.8727
LogisticPSSM + Bipro-aa 79.77 79.91 79.91 0.8770
LogisticPSSM + Bipro-dis 79.71 79.89 79.88 0.8763
LogisticPSSM + Bipro-sa 79.95 80.12 80.11 0.8797
LogisticPSSM + Bipro-ss 80.07 80.31 80.30 0.8813
LogisticPSSM + Bipro-allb 79.95 80.27 80.26 0.8800

a LogisticPSSM means PSSM profile normalized by logistic function.

b all means the combination of four feature groups: Bipro-aa, Bipro-dis, Bipro-sa, and Bipro-ss.

Zhang et al.

Zhang et al. BMC Bioinformatics 2012 13:118   doi:10.1186/1471-2105-13-118

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