Xinqi Li

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.

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