Guanxun Li

This study investigates the role of RSPO3 in estrogen-mediated sex differences in body fat distribution using single-cell RNA sequencing and spatial transcriptomics in humans and mice.

The paper introduces CrossmodalNet, an interpretable model that predicts surface protein expression from scRNA-seq data and incorporates temporal information to uncover gene-protein relationships.

scTenifoldKnk predicts gene function via virtual knockout using scRNA-seq data from wild-type samples, recapitulating real-animal KO results.

scTenifoldNet constructs and compares single-cell gene regulatory networks using scRNA-seq data to identify gene expression changes in response to various biological conditions.

The paper analyzes single-cell expression variability in homogeneous human cell populations, finding it widespread, heritable, and functionally relevant.