Table 4 |
|||||
|
LS-SVM models for the prediction of GRADE, STAGE, METASTASIS and RECURRENCE in prostate cancer |
|||||
| Outcome |
Model |
NG* |
NC† |
AUC (SE)‡ |
p-value§ |
|
|
|||||
| GRADE |
|||||
| A |
M |
24 |
0.8304 (0.0623) |
0.2727 |
|
| G |
8 |
0.7822 (0.0632) |
0.0503 |
||
| C |
MG |
6 |
8 |
0.9006 (0.0413) |
|
| STAGE |
|||||
| A |
M |
18 |
0.6576 (0.0778) |
0.0191 |
|
| G |
32 |
0.7936 (0.0631) |
0.3466 |
||
| C |
MG |
42 |
22 |
0.8528 (0.0550) |
|
| METASTASIS |
|||||
| A |
M |
18 |
0.9759 (0.0178) |
0.4392 |
|
| G |
12 |
0.8114 (0.0755) |
0.0166 |
||
| C |
MG |
18 |
3 |
0.9868 (0.0121) |
|
| RECURRENCE |
|||||
| A |
M |
24 |
0.7208 (0.0936) |
0.5392 |
|
| G |
26 |
0.4481 (0.1433) |
0.0354 |
||
| C |
MG |
32 |
2 |
0.7857 (0.0934) |
|
|
|
|||||
|
*Number of genes selected in each LOO iteration. †Number of copy number variations selected in each LOO iteration. ‡Area under the ROC curve (standard error) obtained with leave-one-out. §Comparison of AUC between each model and the best model in bold [46]. |
|||||
|
Daemen et al. Genome Medicine 2009 1:39 doi:10.1186/gm39 |
|||||
