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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