Lei Sun

FAST improves spatial dimension reduction for multi-section SRT data by modeling count data and spatial smoothness, showing better performance and speed on real datasets.

SpatialDEG identifies differentially expressed genes in spatially resolved transcriptomic data by integrating spatial information, showing controlled type-I error rates in simulations and applied to human and mouse datasets.

This study identifies Esrra's role in regulating Rplp1-mediated translation of lysosomal and autophagy proteins during NASH, showing that alternate day fasting can reverse these effects.

SC-MEB is a spatial clustering method for transcriptomics data that outperforms existing methods in clustering performance and scalability.

This study shows Adipsin promotes bone marrow adiposity by priming mesenchymal stem cells toward adipogenesis through C3 and Wnt/β-catenin signaling inhibition.

CoMM-S2 uses GWAS summary statistics to infer mechanistic roles of genetic variants in gene expression, achieving performance comparable to methods using individual-level data.