Table 3 Comparison of classification performance on ALL-EFS and ALL-OS endpoints using the juxt AG1-G/CNV-G dataset or its embedding obtained using the autoencoder approach
From: Multi-omics integration for neuroblastoma clinical endpoint prediction
AG1-G/CNV-G | AG1-G/CNV-G encoding | |||||
|---|---|---|---|---|---|---|
Endpoint | MCC CV | MCC val | Nfeat | MCC CV | MCC val | Nfeat |
ALL-EFS | 0.207 (0.141-0.278) | 0.197 | 1000 | 0.438 (0.374-0.503) | 0.360 | 100 |
ALL-OS | 0.523 (0.443-0.591) | 0.359 | 500 | 0.545 (0.466- 0.618) | 0.538 | 100 |