Table 3 Predicting OS and EFS in TARGET cohort using models trained from SEQC cohort
From: Predicting clinical outcomes in neuroblastoma with genomic data integration
| Â | OS | EFS | ||||
|---|---|---|---|---|---|---|
Training →Test | Type | AUROC | Balanced Accuracy | Type | AUROC | Balanced Accuracy |
All →All | Microarray C=0.001 Balanced | 0.703 | 0.592 | Microarray C=0.0001 Balanced | 0.666 | 0.594 |
All →All (only HR patients) |  | 0.595 | 0.566 |  | 0.522 | 0.524 |
HR →HR | RNA-seq (RPM) C=1000 Balanced | 0.611 | 0.579 | Microarray C=0.0001 Balanced | 0.570 | 0.612 |
MYCN_NA \(\rightarrow \) MYCN_NA | RNA-seq (RPM) C=1000 Balanced | 0.803 | 0.575 | Microarray C=0.0001 Balanced | 0.715 | 0.632 |