Table 1 AUC and AUPR scores of five methods under CVP setting
From: Drug-target interactions prediction using marginalized denoising model on heterogeneous networks
Dataset | Method | AUPR | AUC |
|---|---|---|---|
Enzyme | BLM-NII | 0.7560 | 0.9792 |
RLS-WNN | 0.7160 | 0.9640 | |
NRLMF | 0.8920 | 0.9870 | |
DNILMF | 0.9220 | 0.9890 | |
DTIP_MDHN | 0.9609 | 0.9970 | |
Ion Channel (IC) | BLM-NII | 0.8256 | 0.9810 |
RLS-WNN | 0.7170 | 0.9590 | |
NRLMF | 0.9060 | 0.9890 | |
DNILMF | 0.9380 | 0.9900 | |
DTIP_MDHN | 0.9744 | 0.9976 | |
GPCR | BLM-NII | 0.5420 | 0.9550 |
RLS-WNN | 0.5200 | 0.9440 | |
NRLMF | 0.7490 | 0.9690 | |
DNILMF | 0.8120 | 0.9750 | |
DTIP_MDHN | 0.9540 | 0.9957 | |
Nuclear Receptor (NR) | BLM-NII | 0.6740 | 0.9153 |
RLS-WNN | 0.5890 | 0.9010 | |
NRLMF | 0.7280 | 0.9500 | |
DNILMF | 0.7510 | 0.9550 | |
DTIP_MDHN | 0.8626 | 0.9913 |