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The overall accuracies (%) and AUCs of our DNN model for binary (B) classification. B_CNA_DCNN and B_Gene_DCNN are based on the architecture of Fig. 2 for CNA data and gene expression data, respectively. B_DCNN_Concat is the DNN model based on the network architecture described in Fig. 3.
| Model (all genes) | Datasets | Performance Measurement |
|
|---|---|---|---|
| Accuracy (%) | AUC | ||
| B_CNA_DCNN | CNA | 62.8 | 0.504 |
| B_Gene_DCNN | Gene expression | 62.9 | 0.502 |
| B_DCNN_Concat | CNA and gene expression | 96.3 | 0.993 |
