Table 1.
Blind accuracies for the SVM models using different filtering methods
| Filtering method | Number of genes | Accuracy (%) SVM model |
| PART | 1000 | 88.9 |
| NSC | 1000 | 66.7 |
| S2N | 1000 | 77.8 |
| SAM | 1000 | 77.8 |
| Student's t-test | 1000 | 66.7 |
| U-test | 1000 | 66.7 |
| Welch's t-test | 1000 | 66.7 |
| Random selection1 | 1000 | 55.6 |
| No filtering | 12241 | 55.6 |
1 The SVM model was constructed by using 1000 probes selected randomly. This process was repeated 1000 times. Average accuracies of 1000 SVM models were calculated.