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Table 2 Comparison with the four state-of-the-art methods in terms of aupr, \(F_1\) score, accuracy, recall, specificity and precision using 10-fold cross-validation

From: Predicting circRNA-drug sensitivity associations via graph attention auto-encoder

Methods

AUPR

Precision

Recall

F1 score

Accuracy

Specificity

KATZ

0.8269

0.7176

0.8800

0.7906

0.7669

0.6538

VGAE

0.8725

0.7683

0.8313

0.7986

0.7864

0.7398

VGAMF

0.8681

0.7783

0.8471

0.8113

0.8029

0.7588

GCNMDA

0.8864

0.8039

0.8420

0.8225

0.8183

0.7946

GATECDA

0.9015

0.8128

0.8343

0.8234

0.8211

0.8079

  1. The values with bold indicate the best results in terms of different metrics
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BMC Bioinformatics

ISSN: 1471-2105

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