AUROC | AUPRC | F-measure | Accuracy | |
---|---|---|---|---|
Integrated model (molecular + network) | 0.882 ± 0.035 | 0.834 ± 0.041 | 0.714 ± 0.064 | 0.836 ± 0.030 |
Single-modality model (molecular) | 0.851 ± 0.023 | 0.770 ± 0.023* | 0.662 ± 0.038* | 0.806 ± 0.020* |
Single-modality model (network) | 0.780 ± 0.051* | 0.706 ± 0.040* | 0.601 ± 0.057* | 0.784 ± 0.023* |
Graph CNN-based method [10] | 0.707 ± 0.038* | 0.563 ± 0.083* | 0.427 ± 0.132* | 0.719 ± 0.043* |
NeoDTI [13] | 0.790 ± 0.039* | 0.715 ± 0.046* | 0.297 ± 0.084* | 0.719 ± 0.018* |
SVM | 0.652 ± 0.019* | 0.500 ± 0.023* | 0.481 ± 0.044* | 0.755 ± 0.012* |
Random forest | 0.605 ± 0.033* | 0.452 ± 0.046* | 0.364 ± 0.075* | 0.728 ± 0.026* |