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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