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Table 2 Comparison with state-of-the-art methods in the scenario of T1 with respect to binary DDIs

From: TMFUF: a triple matrix factorization-based unified framework for predicting comprehensive drug-drug interactions of new drugs

Method

AUC

AUPR

Naïve Similarity [14]

0.759 ± 0.001

0.302 ± 0.002

Label Propagation [8]

0.774 ± 0.001

0.326 ± 0.002

TMFUF

0.842 ± 0.002

0.526 ± 0.006

  1. The best results are highlighted in boldface
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BMC Bioinformatics

ISSN: 1471-2105

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