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The results of ROC curve analysis
| Estimate criterion | AUC | J a | Sensitivity | Specificity | P valueb | |
|---|---|---|---|---|---|---|
| SOCS1 | > 2.7 | 0.6 | 0.2 | 40.7 | 79.6 | 0.05 |
| SOCS2 | > − 2.4 | 0.64 | 0.25 | 88.9 | 37 | 0.007 |
| SOCS3 | > − 0.9 | 0.63 | 0.24 | 72.2 | 51.9 | 0.01 |
| SOCS5 | > − 0.8 | 0.67 | 0.25 | 75.9 | 50 | 0.0009 |
| Combination of all genes | ≤ 0.5 | 0.68 | 0.35 | 64.8 | 70.4 | 0.0004 |
Estimate criterion: optimal cutoff point for gene expression
aYouden index,
bSignificance level P (area = 0.5)
