Table 2.
Top ten routes for the Platinum Spike dataset.
| Rank | Background correction | Probe normalization methods | Probe normalization groups | PM correction | Summarization | Probe set normalization methods | Probe set normalization groups | DEG tests | rAUC0.05 | TPR0.05 | TP0.05* |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | gcrma-reb | scaling | all | pmonly | medianpolish | vsn | technical | CyberT | 0.848 | 0.880 | 1710 |
| 2 | none | vsn | all | pmonly | medianpolish | constant | all | SAMR | 0.847 | 0.883 | 1717 |
| 3 | gcrma-reb | scaling | all | pmonly | medianpolish | vsn | technical | SAMR | 0.847 | 0.877 | 1705 |
| 4 | gcrma-reb | constant | all | pmonly | medianpolish | vsn | technical | CyberT | 0.846 | 0.879 | 1709 |
| 5 | gcrma-reb | scaling | all | pmonly | medianpolish | vsn | technical | LIMMA | 0.846 | 0.878 | 1707 |
| 6 | gcrma-reb | constant | all | pmonly | medianpolish | vsn | technical | LIMMA | 0.845 | 0.878 | 1706 |
| 7 | Alchemy | 0.845 | 0.877 | 1705 | |||||||
| 8 | none | vsn | all | pmonly | medianpolish | constant | all | LIMMA | 0.845 | 0.883 | 1716 |
| 9 | none | vsn | all | pmonly | medianpolish | quantiles | technical | Fold Change | 0.844 | 0.877 | 1704 |
| 10 | rma | vsn | technical | pmonly | medianpolish | scaling | all | SAMR | 0.844 | 0.878 | 1707 |
*the number of correctly detected DEGs at false positive rate cutoff 0.05.