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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
  1. The best results in each column are in bold