A Transformer-based bidirectional behavior sequence model for drug repositioning reportedly achieves state-of-the-art AUROC/AUPRC on benchmark datasets, but is undermined by inconsistent dataset statistics and test-set-informed hyperparameter tuning.
idrug: Integration of drug repositioning and drug-target prediction via cross-network embedding,
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BiBLDR: Bidirectional Behavior Learning for Drug Repositioning
A Transformer-based bidirectional behavior sequence model for drug repositioning reportedly achieves state-of-the-art AUROC/AUPRC on benchmark datasets, but is undermined by inconsistent dataset statistics and test-set-informed hyperparameter tuning.