Table 4

Combination of different feature groups and performance comparison based on leave-one-out jackknife tests on ATP168 and ATP227
Composition of different features Sen (%) Spe (%) Acc (%) AUC
ATP168 PSSM 76.47 76.75 76.74 0.8466
LogisticPSSMa 77.22 77.55 77.54 0.8553
LogisticPSSM + Bipro-aa 77.45 77.71 77.70 0.8609
LogisticPSSM + Bipro-dis 77.45 77.76 77.74 0.8601
LogisticPSSM + Bipro-sa 77.45 77.96 77.93 0.8619
LogisticPSSM + Bipro-ss 77.84 78.20 78.18 0.8638
LogisticPSSM + Bipro-allb 77.75 78.16 78.13 0.8633
ATP227 PSSM 79.23 79.63 79.61 0.8678
LogisticPSSMa 79.98 80.14 80.14 0.8788
LogisticPSSM + Bipro-aa 80.30 80.54 80.53 0.8822
LogisticPSSM + Bipro-dis 80.36 80.53 80.53 0.8818
LogisticPSSM + Bipro-sa 80.54 80.76 80.75 0.8843
LogisticPSSM + Bipro-ss 80.57 80.85 80.83 0.8851
LogisticPSSM + Bipro-allb 80.54 80.60 80.70 0.8816

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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