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. 2014 Feb 21;15(2):3220–3233. doi: 10.3390/ijms15023220

Table 5.

Performance comparison of different PPI methods using Shen’s dataset a in the 10 CV test.

Method Sn (%) Sp (%) ACC (%) MCC
LEWP710101 97.3 ± 0.04 99.2 ± 0.04 98.3 ± 0.00 0.966 ± 0.0006
QIAN880138 97.3 ± 0.10 99.1 ± 0.10 98.3 ± 0.10 0.966 ± 0.002
NADH010104 97.2 ± 0.07 99.2 ± 0.04 98.3 ± 0.05 0.965 ± 0.0007
NAGK730103 97.2 ± 0.06 99.2 ± 0.04 98.2 ± 0.06 0.965 ± 0.0004
AURR980116 97.3 ± 0.04 99.1 ± 0.06 98.2 ± 0.06 0.965 ± 0.0006
Hf-DFPCA 97.6 ± 0.20 99.1 ± 0.10 98.4 ± 0.10 0.967 ± 0.002
Vf-DFPCA 97.5 ± 0.10 98.9 ± 1.00 98.3 ± 0.80 0.965 ± 0.007
Pf-DFPCA 96.9 ± 0.10 99.5 ± 0.60 98.2 ± 0.60 0.964 ± 0.004
Zf-DFPCA 97.9 ± 0.90 96.0 ± 0.20 96.9 ± 1.10 0.939 ± 0.002
LDA-RF b 94.2 ± 0.40 98.0 ± 0.30 96.4 ± 0.30 0.928 ± 0.006
LDA-RoF b 93.7± 0.50 97.6 ± 0.60 95.7 ± 0.40 0.918 ± 0.007
LDA-SVM b 89.7 ± 1.30 91.5 ± 1.10 90.7 ± 0.90 0.813 ± 0.018
AC-RF b 94.0 ± 0.60 96.6 ± 0.40 95.5 ± 0.30 0.914 ± 0.007
AC-RoF b 93.3 ± 0.70 97.1 ± 0.70 95.1 ± 0.60 0.910 ± 0.009
AC-SVM b 94.0 ± 0.60 84.9 ± 1.70 89.3 ± 0.80 0.792 ± 0.014
PseAAC-RF b 94.1 ± 0.90 96.9 ± 0.30 95.6 ± 0.40 0.912 ± 0.007
PseAAC-RoF b 93.6 ± 0.90 96.7 ± 0.40 95.3 ± 0.50 0.907 ± 0.009
PseAAC-SVM b 89.9 ± 0.70 92.0 ± 0.40 91.2 ± 0.4 0.821 ± 0.006
a

Shen’s dataset contains two subdatasets, C and D, which are available at http://www.csbio.sjtu.edu.cn/bioinf/LR_PPI/Data.htm;

b

These results are taken from Table 4 of the literature [25].