From: Drug-target interactions prediction using marginalized denoising model on heterogeneous networks
Dataset | Methods | AUPR | AUC |
---|---|---|---|
Enzyme | BLM-NII | 0.2568 | 0.8230 |
RLS-WNN | 0.2780 | 0.8820 | |
NRLMF | 0.3580 | 0.8710 | |
DNILMF | 0.7960 | 0.9640 | |
DTIP_MDHN | 0.8378 | 0.9834 | |
Ion Channel (IC) | BLM-NII | 0.3310 | 0.7973 |
RLS-WNN | 0.2580 | 0.7970 | |
NRLMF | 0.3440 | 0.8130 | |
DNILMF | 0.8220 | 0.9610 | |
DTIP_MDHN | 0.8587 | 0.9845 | |
GPCR | BLM-NII | 0.3250 | 0.8315 |
RLS-WNN | 0.2950 | 0.8910 | |
NRLMF | 0.3640 | 0.8950 | |
DNILMF | 0.7810 | 0.9670 | |
DTIP_MDHN | 0.8487 | 0.9864 | |
Nuclear Receptor (NR) | BLM-NII | 0.4389 | 0.8010 |
RLS-WNN | 0.5040 | 0.8900 | |
NRLMF | 0.5450 | 0.9000 | |
DNILMF | 0.7760 | 0.9560 | |
DTIP_MDHN | 0.8463 | 0.9917 |