AUROC | AUPRC | F-measure | Accuracy | |
---|---|---|---|---|
Integrated model (molecular + network) | 0.972 ± 0.004 | 0.954 ± 0.005 | 0.900 ± 0.006 | 0.933 ± 0.004 |
Single-modality model (molecular) | 0.956 ± 0.004* | 0.927 ± 0.006* | 0.868 ± 0.009* | 0.911 ± 0.006* |
Single-modality model (network) | 0.947 ± 0.008* | 0.920 ± 0.010* | 0.853 ± 0.015* | 0.904 ± 0.009* |
Graph CNN-based method [10] | 0.917 ± 0.006* | 0.850 ± 0.006* | 0.794 ± 0.014* | 0.864 ± 0.008* |
NeoDTI [13] | 0.956 ± 0.005* | 0.905 ± 0.016* | 0.872 ± 0.006* | 0.917 ± 0.004* |
SVM | 0.805 ± 0.009* | 0.651 ± 0.012* | 0.743 ± 0.012* | 0.837 ± 0.006* |
Random forest | 0.873 ± 0.009* | 0.767 ± 0.015* | 0.837 ± 0.012* | 0.895 ± 0.007* |