Open access
Aug 2026
NARVGA: A Hybrid Framework Integrating Matrix Factorisation and Adversarial Graph Learning for circRNA-Disease Association Prediction
A computer-based method that combines several types of biological information to predict likely relationships between circular ribonucleic acids and diseases is developed and shows a strong ability to distinguish known associations from unconfirmed ones.
Mianshuo Lu, Mengmeng Wei, Changchun Liu et al.
· Biology · 0 citations