Shu Wang

This study quantifies cell proliferation in tumors using multiplexed imaging and identifies spatial and temporal patterns of cell cycle regulation.

The paper estimates Riemannian curvature of image and scRNA-seq data manifolds using extrinsic differential geometry, revealing curvature in scRNA-seq datasets.

The paper introduces effective stoichiometric space (ESS) to infer biochemical reaction network structure from single-cell multiplex data using toric systems theory, identifying differences in drug-treated cells.