Research Article
Using the Relevance Vector Machine Model Combined with Local Phase Quantization to Predict Protein-Protein Interactions from Protein Sequences
Table 3
5-fold cross-validation results shown by using our proposed method on the Yeast dataset.
| Testing set | Ac (%) | Sn (%) | Sp (%) | MCC (%) |
| SVM + PSSM + LPQ | | | | | 1 | 85.96 | 84.77 | 87.13 | 75.86 | 2 | 84.18 | 82.86 | 85.43 | 73.33 | 3 | 85.52 | 84.10 | 86.97 | 75.22 | 4 | 85.29 | 84.12 | 86.47 | 74.91 | 5 | 85.76 | 86.16 | 88.45 | 75.55 | Average | 85.34 ± 0.69 | 84.40 ± 1.20 | 86.89 ± 1.09 | 74.97 ± 0.98 |
| RVM + PSSM + LPQ | | | | | 1 | 92.76 | 92.73 | 92.79 | 86.56 | 2 | 93.79 | 93.27 | 93.41 | 88.34 | 3 | 91.28 | 92.12 | 90.43 | 84.08 | 4 | 92.27 | 92.02 | 92.50 | 85.72 | 5 | 93.17 | 93.02 | 93.32 | 87.27 | Average | 92.65 ± 0.95 | 92.63 ± 0.55 | 92.67 ± 1.40 | 86.40 ± 1.61 |
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