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Table 1 Comparison of the prediction performance by the proposed method and some state-of-the-art works on the yeast dataset.

From: Prediction of protein-protein interactions from amino acid sequences using a novel multi-scale continuous and discontinuous feature set

Model Test set SN(%) PE(%) ACC(%) MCC(%) AUC(%)
Our
method
1 91.66 92.40 92.00 85.28 97.15
  2 90.49 92.01 91.11 83.79 96.91
  3 91.13 91.05 91.19 83.94 96.97
  4 90.41 91.48 91.01 83.64 97.07
  5 89.64 92.76 91.47 84.38 97.23
  Average 90.67 ± 0.69 91.94 ± 0.62 91.36 ± 0.36 84.21 ± 0.59 97.07 ± 0.12
Guos' work ACC 89.93 ± 3.68 88.87 ± 6.16 89.33 ± 2.67 N/A N/A
  AC 87.30 ± 4.68 87.82 ± 4.33 87.36 ± 1.38 N/A N/A
Zhous'
work
SVM+LD 87.37 ± 0.22 89.50 ± 0.60 88.56 ± 0.33 77.15 ± 0.68 95.07 ± 0.39
Yangs'
work
Cod1 75.81 ± 1.20 74.75 ± 1.23 75.08 ± 1.13 N/A N/A
  Cod2 76.77 ± 0.69 82.17 ± 1.35 80.04 ± 1.06 N/A N/A
  Cod3 78.14 ± 0.90 81.86 ± 0.99 80.41 ± 0.47 N/A N/A
  Cod4 81.03 ± 1.74 90.24 ± 1.34 86.15 ± 1.17 N/A N/A
  1. Here, N/A means not available.