Xiang Liu

SpaIM improves spatial transcriptomics by imputing missing gene expressions using scRNA-seq data, outperforming 12 existing methods across 53 datasets.

xSiGra is a graph-based AI model that identifies interpretable features in spatial single-cell data, showing that cell activity is influenced by neighboring cells and revealing endothelial-tumor interactions.

SpaRx identifies spatial cellular heterogeneity in drug responses across tumor lesions and reveals mechanisms of drug resistance through a graph-based domain adaptation model.