Skip to main content

Table 4 Comparison of CNN-DDI with DDIMDL

From: CNN-DDI: a learning-based method for predicting drug–drug interactions using convolution neural networks

Algorithm

ACC

AUPR

AUC

F1

Precision

Recall

CNN-DDI

0.8871

0.9251

0.9980

0.7496

0.8556

0.7220

DDIMDL

0.8852

0.9208

0.9976

0.7585

0.8471

0.7182

DDIMDL*

0.8865

0.9230

0.9976

0.7559

0.8513

0.7204

  1. The single asterisk represent DDIMDL with features selected by our method. It can be concluded that the drug category is effective as a new feature type
Back to article page

BMC Bioinformatics

ISSN: 1471-2105

Contact us