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Table 1 Performance of GCMM on 5FCCV

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

 

Auc

Aupr

F1

ACC

Recall

Precision

Specificity

Fold 1

0.8990

0.9110

0.8142

0.8178

0.7984

0.8306

0.8372

Fold 2

0.9000

0.9114

0.8150

0.8130

0.8236

0.8065

0.8023

Fold 3

0.9069

0.9190

0.8168

0.8137

0.8207

0.8043

0.7878

Fold 4

0.9035

0.9135

0.8178

0.8159

0.8266

0.8093

0.8052

Fold 5

0.9002

0.9108

0.8163

0.8169

0.8140

0.8187

0.8198

Mean

0.9013

0.9131

0.8160

0.8155

0.8167

0.8139

0.8105

  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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