Xianbin Su

This study shows that deleting Lzp in mice reduces plasma lipids and atherosclerosis by lowering ApoB-containing lipoproteins.

scSTAR2 integrates multiomics data to identify disease-specific cellular signatures by linking single-cell features with clinical metadata.

The paper analyzes clonal evolution in liver cancer at single-cell and single-variant resolution, revealing genetic and phenotypic heterogeneity and their evolutionary relationships.

The paper investigates how 3D genome structure influences protein-protein interactions and shows that gene proximity in 3D space correlates with interaction likelihood.

This paper identifies that immuno-positive neoantigens cluster in 3D genome regions and are enriched in active chromosomal compartments, suggesting 3D genome information can improve neoantigen prioritization.

The paper introduces scHOT, a method to detect changes in higher order gene interactions in single-cell data, demonstrating its application in liver development and spatial gene correlation patterns.

scMerge integrates multiple scRNA-Seq datasets by removing unwanted variation through stably expressed genes and pseudo-replicates, enhancing biological discovery.