Guo Yin

This paper introduces st-Xprop, a graph learning method for spatial domain detection in multi-modal spatial transcriptomics, improving clustering accuracy and biological relevance.

BiCLUM integrates unpaired single-cell multi-omics data by aligning cell and feature spaces through bilateral contrastive learning, outperforming existing methods in visualization and quantitative metrics.