Yan Zhong

This study investigates the link between chromatin accessibility and single-cell expression variability using scATAC-seq and scRNA-seq data from human hematopoietic cells, finding that chromatin accessibility explains much of the variability.

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.