Guangchun Han

METI integrates spatial transcriptomics and cell morphology to improve analysis of tumor microenvironments, showing consistent performance across multiple cancer types.

The paper analyzes single-cell RNA-seq data to identify ACE2 expression patterns in human lung epithelial cells, finding high ACE2 expression in alveolar type II cells and co-expression with pathogen receptors.

iTALK characterizes and illustrates intercellular communication in tumor microenvironments using single-cell RNA sequencing data.

scRNASeqDB is a database that compiles human single-cell RNA-seq datasets for gene expression analysis and provides tools for querying and visualizing expression profiles.