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Table 9 AUPR, AUC, and CI for three binding affinity prediction methods under CVP setting

From: Drug-target interactions prediction using marginalized denoising model on heterogeneous networks

Dataset

Method

AUPR

AUC

CI

CI_PCC

David

Kronecker_rls

0.6586

0.9388

0.8740

–

SimBoost

0.7580

0.9560

0.8840

–

DTIP_MDHN

0.7706

0.9671

0.8623

0.8740

Metz

Kronecker_rls

0.5720

0.9340

0.9340

–

SimBoost

0.6290

0.9580

0.8510

–

DTIP_MDHN

0.8303

0.9960

0.8702

0.8812

  1. The best results in each column are in bold. CI_PCC is the values of CI calculated by DTIP_MDHN with PCC kernel
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BMC Bioinformatics

ISSN: 1471-2105

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