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Table 2 AUC and AUPR scores of five methods under CVD setting

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
  1. The best results in each column are in bold