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Table 3 Comparison with the four state-of-the-art methods in terms of aupr, \(F_1\) score, accuracy, recall, specificity and precision using 5-fold cross-validation

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

Methods

AUPR

Precision

Recall

F1 score

Accuracy

Specificity

KATZ

0.8223

0.7141

0.8756

0.7866

0.7625

0.6494

VGAE

0.8730

0.7763

0.8226

0.7988

0.7892

0.7546

VGAMF

0.8661

0.7911

0.8437

0.8165

0.8104

0.7772

GCNMDA

0.8761

0.7938

0.8427

0.8175

0.8119

0.7810

GATECDA

0.8928

0.8076

0.8316

0.8194

0.8167

0.8018

  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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