Research Article
Prediction of Antimicrobial Peptides Based on Sequence Alignment and Support Vector Machine-Pairwise Algorithm Utilizing LZ-Complexity
Table 7
The performance comparison of previously proposed methods with the proposed algorithm on independent test using Wang test set.
| Method/algorithm | Number of predicted sequences | Number of correctly predicted sequences | |
| CAMP-SVM [9] | 1136 | 866 | 76.23% | CAMP-random forest [9] | 1136 | 852 | 75.00% | CAMP-discriminant analysis [9] | 1136 | 881 | 77.55% | Sequence alignment + feature selection [9] | 1136 | 965 | 84.95% | Complexity based distance measure | 1136 | 880 | 77.46% | Sequence alignment + SVM-pairwise | 1136 | 995 | 87.59% |
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