Table 3 AUC and AUPR scores of five methods under CVT setting
From: Drug-target interactions prediction using marginalized denoising model on heterogeneous networks
Dataset | Methods | AUPR | AUC |
|---|---|---|---|
Enzyme | BLM-NII | 0.7376 | 0.9190 |
RLS-WNN | 0.5660 | 0.9470 | |
NRLMF | 0.8120 | 0.9660 | |
DNILMF | 0.8890 | 0.9780 | |
DTIP_MDHN | 0.8848 | 0.9463 | |
Ion Channel (IC) | BLM-NII | 0.7658 | 0.9153 |
RLS-WNN | 0.6960 | 0.9500 | |
NRLMF | 0.7850 | 0.9640 | |
DNILMF | 0.8870 | 0.9700 | |
DTIP_MDHN | 0.9092 | 0.9705 | |
GPCR | BLM-NII | 0.3532 | 0.7781 |
RLS-WNN | 0.5500 | 0.9260 | |
NRLMF | 0.5560 | 0.9300 | |
DNILMF | 0.6840 | 0.9330 | |
DTIP_MDHN | 0.8865 | 0.9593 | |
Nuclear Receptor (NR) | BLM-NII | 0.4523 | 0.5430 |
RLS-WNN | 0.5310 | 0.9350 | |
NRLMF | 0.4490 | 0.8510 | |
DNILMF | 0.4830 | 0.8560 | |
DTIP_MDHN | 0.8113 | 0.9823 |