Author

Tingfang Wu

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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

Open access Aug 2026

iDCF: Interpretable deconvolution of cell fractions via biologically-informed deep learning using scRNA-seq data

iDCF (Interpretable Deconvolution of Cell Fractions) is a novel framework that enforces biological topology onto deep neural networks, bridging the gap between computational inference and biological intuition.

Hongming Guo, Ting-Fang Wu, Wen-Zheng Wang et al. · PLoS Computational Biology · 0 citations