Zeyu Chen

SpatialZoomer identifies disease progression signals and spatially heterogeneous niches in spatial transcriptomics data by analyzing features at multiple scales.

scTrace+ improves cell fate inference by integrating lineage-tracing data with transcriptomic similarities using a Kernelized Probabilistic Matrix Factorization model, accurately predicting cell fates and identifying driver genes.

uniLIVER creates a human liver cell atlas using sc/snRNA-seq data and develops LiverCT to map abnormal datasets to the reference atlas, revealing changes in cell type composition and states in liver cancer.

scCancer2 provides a supervised framework for annotating tumor microenvironment cells across datasets and evaluates subtype relationships using scRNA-seq and bulk data.