Yuxuan Hu

scAtlasPy enables efficient analysis of large single-cell atlases by using disk-resident computing, achieving high speed and low memory usage compared to existing tools.

The paper introduces N-Orbit, a mathematical model for comparing tissue microenvironments by encoding cell type composition and spatial relationships, showing improved performance over existing metrics in neighborhood discrimination and clinical prediction.

CytoCommunity identifies tissue cellular neighborhoods from spatial data using graph neural networks, revealing condition-specific patterns in cancer tissues.

CytoTalk constructs cell type-specific signal transduction networks from single-cell RNA-Seq data and validates them using spatial transcriptomics and perturbation experiments.