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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
  1. The best results in each column are in bold