Research Article
Using the Relevance Vector Machine Model Combined with Local Phase Quantization to Predict Protein-Protein Interactions from Protein Sequences
Table 4
Predicting ability of different methods on the Yeast dataset.
| Model | Testing set | Ac (%) | Sn (%) | Pe (%) | MCC (%) |
|
Guo et al.’s work [20] | ACC | 89.33 ± 2.67 | 89.93 ± 3.60 | 88.77 ± 6.16 | N/A | AC | 87.36 ± 1.38 | 87.30 ± 4.68 | 87.82 ± 4.33 | N/A |
| Zhou et al.’s work [25] | SVM + LD | 88.56 ± 0.33 | 87.37 ± 0.22 | 89.50 ± 0.60 | 77.15 ± 0.68 |
|
Yang et al.’s work [26] | Cod1 | 75.08 ± 1.13 | 75.81 ± 1.20 | 74.75 ± 1.23 | N/A | Cod2 | 80.04 ± 1.06 | 76.77 ± 0.69 | 82.17 ± 1.35 | N/A | Cod3 | 80.41 ± 0.47 | 78.14 ± 0.90 | 81.66 ± 0.99 | N/A | Cod4 | 86.15 ± 1.17 | 81.03 ± 1.74 | 90.24 ± 1.34 | N/A |
| You et al.’s work [27] | PCA-EELM | 87.00 ± 0.29 | 86.15 ± 0.43 | 87.59 ± 0.32 | 77.36 ± 0.44 |
| The proposed method | RVM | 92.65 ± 0.95 | 92.63 ± 0.55 | 92.67 ± 1.40 | 86.40 ± 1.61 |
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