Minghua Deng

CellChem learns cell-guided molecular representations that integrate structure and function, improving drug discovery by capturing cellular response similarities.

S2Omics automatically selects regions of interest from histology images to maximize molecular information content in spatial omics experiments, improving reproducibility and downstream biological discovery.

This paper introduces scCTClust, a deep learning method for clustering CITE-seq data that integrates RNA and protein information, achieving better clustering results than existing methods.