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Table 7 Performance between NAGTLDA and multiple variant models

From: Node-adaptive graph Transformer with structural encoding for accurate and robust lncRNA-disease association prediction

Models

AUC

AUPR

F1-score

ACC

Recall

Spec.

Prec.

NAGTLDA

0.9531

0.9537

0.8821

0.8786

0.9088

0.8483

0.8579

Remove T1

0.9462

0.9479

0.8736

0.8720

0.8850

0.8591

0.8628

Remove lncRNA-NAFS

0.9510

0.9517

0.8777

0.8728

0.9139

0.8316

0.8451

Remove disease-NAFS

0.9520

0.9528

0.8809

0.8767

0.9113

0.8420

0.8523

Remove lncRNA-SDNE

0.9394

0.9438

0.8683

0.8672

0.8754

0.8590

0.8617

Remove disease-SDNE

0.9350

0.9404

0.8617

0.8611

0.8646

0.8576

0.8601