Research Article
Predictions of Apoptosis Proteins by Integrating Different Features Based on Improving Pseudo-Position-Specific Scoring Matrix
Table 1
Data and the distribution of the sequence identity percentage for apoptosis.
| Datasets | ≤40% | 41%–80% | 81%–90% | ≥91% | Cy | Me | Mi | Nu | En | Se | Sum | CL317 | 40.1 | 15.5 | 18.9 | 25.6 | 112 | 55 | 34 | 52 | 47 | 17 | 317 | ZW225 | 52.9 | 16 | 16 | 15.1 | 70 | 89 | 25 | 41 | — | — | 225 | Dataset | ≤40% | 41%–80% | 81%–90% | ≥91% | Cy | Me | Mi | Others | — | — | Sum | ZD98 | 34.69 | 30.61 | 17.35 | 17.35 | 43 | 30 | 13 | 12 | — | — | 98 |
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