Open access
Sep 2026
Integrating multi-modal biological knowledge via contrastive dual-view graph learning for phosphorylation site-disease association prediction
CDVGL-PDA’s strong predictive performance across balanced, imbalanced, and low-similarity datasets is demonstrated, while case studies highlight its ability to uncover potential PDAs, illustrating its promise for advancing disease mechanism research and therapeutic target discovery.
Xiang Chen, Li-Jun Quan, Ye-Xuan Mao et al.
· Bioinformatics · 0 citations