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Table 2 Performance comparsion on the ratio of positive and negative samples is 1:1

From: GCMM: graph convolution network based on multimodal attention mechanism for drug repurposing

 

Auc

Aupr

F1

ACC

Recall

Precision

Specificity

GCMM

0.9013

0.9131

0.8160

0.8155

0.8167

0.8139

0.8105

DeepDR

0.8574

0.8810

0.7844

0.7705

0.8174

0.7539

0.8860

NeoDTI

0.7501

0.7531

0.7149

0.6804

0.8015

0.6452

0.9908

LAGCN

0.8367

0.8470

0.7643

0.7521

0.8100

0.7495

0.9878

NIMGCN

0.7784

0.7807

0.7287

0.7064

0.7888

0.6772

0.9921

  1. The mean experimental results of 5FCCV are shown in bold font
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BMC Bioinformatics

ISSN: 1471-2105

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