Skip to main content

Table 13 AUPR, AUC, and CI for different kernels under CVD setting

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

Kernel

Method

AUPR

AUC

CI

CI_PCC

2D

Kronecker_rls

0.2203

0.7055

0.6981

–

DTIP_MDHN

0.6896

0.8892

0.5489

0.8014

3D

Kronecker_rls

0.3308

0.7700

0.7441

–

DTIP_MDHN

0.7044

0.8970

0.5547

0.7470

ECFP4

Kronecker_rls

0.3117

0.7487

0.7504

–

DTIP_MDHN

0.7138

0.9028

0.6990

0.7350

  1. The best results in each column are in bold. CI_PCC is the values of CI calculated by DTIP_MDHN with PCC kernel
Back to article page

BMC Bioinformatics

ISSN: 1471-2105

Contact us