Skip to main content

Table 2 The performances of SCMFDD models based on different drug features

From: Predicting drug-disease associations by using similarity constrained matrix factorization

 

AUPR

AUC

SN

SP

ACC

F

Substructure

0.2644

0.8737

0.3329

0.9795

0.9632

0.3130

Target

0.1947

0.8410

0.2751

0.9751

0.9575

0.2456

Pathway

0.2582

0.8706

0.3435

0.9771

0.9611

0.3079

Enzyme

0.2496

0.8671

0.3331

0.9768

0.9606

0.2990

Drug interaction

0.2638

0.8734

0.3505

0.9769

0.9611

0.3120

Back to article page

BMC Bioinformatics

ISSN: 1471-2105

Contact us