Research Article
Predictions of Apoptosis Proteins by Integrating Different Features Based on Improving Pseudo-Position-Specific Scoring Matrix
Table 5
Performance comparison of different models on the ZW225 dataset.
| Methods | Prediction accuracy (%) | Cy | Me | Mi | Nu | OA |
| OF-SVM [3] | 85.7 | 91.0 | 68.0 | 82.9 | 85.3 | FTD-SVM [20] | 88.6 | 93.3 | 64.0 | 75.6 | 85.3 | GA_DCCA-SVM [36] | 87.1 | 91.0 | 68.0 | 75.6 | 84.4 | OA-SVM [16] | 93.3 | 92.1 | 96.0 | 93.5 | 92.2 | IACC-SVM [18] | 88.6 | 92.1 | 64.0 | 75.6 | 84.9 | EN-FKNN [37] | 94.3 | 94.4 | 60.0 | 80.5 | 88.0 | Dual-layer SVM [38] | 91.4 | 94.4 | 76.0 | 78.1 | 88.4 | This paper | 100 | 100 | 97.47 | 94.80 | 97.67 |
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