Table S4.
Exported feature set performance (different platform).
| Feature set different platforms | RF | R-SVM | S-SVM | Across | ||||||||
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| Method | Sen | Spe | bAcc | Sen | Spe | bAcc | Sen | Spe | bAcc | Sen | Spe | bAcc |
| MG | 14 | 95 | 55 | 70 | 74 | 72 | 70 | 74 | 72 | 51 | 81 | 66 |
| SG | 35 | 79 | 57 | 48 | 66 | 57 | 72 | 69 | 71 | 52 | 71 | 62 |
Notes: The table shows the mean sensitivity, specificity and balanced accuracies for feature sets defined by AG1 and validated in AF2 and AF3, using either metagenes (MG) or single genes (SG) as features and using random forest (RF), support vector machine with a radial-based kernel (R-SVM) or a sigmoid kernel (S-SVM). Across shows the mean of the results across the three classification methods.