Author

Jia-Liang Yang

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Open access Sep 2026

STCGCar: Graph Contrastive Learning with Reliable Augmentation for Spatial Transcriptomics Clustering.

Accurately identifying spatial domains based on spatial transcriptomics (ST) data can greatly promote our understanding of cellular composition and tissue organization. While graph neural networks (GNNs) have shown significant advancements in spatial clustering, they tend to be insensitive to noisy edges, leading to in...

Li-Hong Peng, Long Yang, Min Chen et al. · Genomics, Proteomics & Bioin... · 0 citations

Aug 2026

Fused framework for predicting binding affinity to ɑ-synuclein using three-dimensional molecular graphs and attention.

The aberrant aggregation of α‑synuclein (α‑syn) is a pathological hallmark of synucleinopathies, driving the need for small‑molecule inhibitors that block its oligomerization and fibrillization. In computer‑aided drug discovery, accurate affinity prediction remains critical for early‑stage screening. However, current d...

Xi Wang, Wenhui Shang, Fengze Ma et al. · Computational biology and ch... · 0 citations

Sep 2026

Adaptive Topology-Semantic Fusion Contrastive Learning for Drug Repositioning.

Drug repositioning offers an efficient alternative to de novo drug development; however, accurately identifying potential drug-disease associations remains challenging. Existing methods do not fully exploit higher-order collaborative information at the drug-drug and disease-disease levels, and their feature fusion stra...

Hao Zhang, Jin-Can Li, Xian-Fang Tang et al. · Journal of Chemical Informat... · 0 citations