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Table 2 Comparison with other methods base on 10-CV

From: MNCLCDA: predicting circRNA-drug sensitivity associations by using mixed neighbourhood information and contrastive learning

Method

F1-score

Accuracy

Recall

Specificity

Precision

MNCLCDA

0.8494

0.8492

0.8469

0.8519

0.8553

GATECDA

0.8267

0.8271

0.8312

0.8135

0.8225

MNGACDA

0.8473

0.8427

0.8436

0.8323

0.8517

VGAELDA

0.8256

0.8173

0.8332

0.8027

0.8176

MKGCN

0.8047

0.8026

0.8173

0.7973

0.7937

LAGCN

0.8133

0.8076

0.8312

0.7486

0.7956

CRPGCN

0.7977

0.7963

0.8021

0.8122

0.7927

  1. The bold result indicates the best result in each column
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BMC Medical Informatics and Decision Making

ISSN: 1472-6947

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