Skip to main content

Table 2 AUC and AUPR scores of AutoDTI ++ approach obtained under three prediction tasks (\({S}_{p}\), \({S}_{d}\), and \({S}_{t}\)) overall datasets (NR, GPCR, IC, and E) by 5 repeats of tenfold CV

From: AutoDTI++: deep unsupervised learning for DTI prediction by autoencoders

AutoDTI ++  NR GPCR IC E
\(\bf \bf {S}_{p}\)     
AUPR 0.84 0.85 0.90 0.82
AUC 0.87 0.86 0.91 0.90
\(\bf \bf {S}_{d}\)     
AUPR 0.62 0.47 0.50 0.33
AUC 0.60 0.47 0.49 0.50
\(\bf \bf {S}_{t}\)     
AUPR 0.84 0.83 0.86 0.77
AUC 0.87 0.85 0.86 0.84