Cell interactions determine phenotypes, and intercellular communication is shaped by
cellular contexts such as disease state, organismal life stage, and tissue microenvironment …

Deciphering cell− cell communication is a key step in understanding the physiology and
pathology of multicellular systems. Recent advances in single-cell transcriptomics have …

Dysregulated cell-cell communication is a hallmark of many disease phenotypes. Due to
recent advances in single-cell transcriptomics and computational approaches, it is now …

The growing availability of single-cell and spatially-resolved transcriptomics has led to the
rapidly growing popularity of methods to infer cell-cell communication. Many approaches …

Recent advances in single-cell sequencing technologies offer an opportunity to explore cell-
cell communication in tissues systematically and with reduced bias. A key challenge is the …

Understanding global communications among cells requires accurate representation of cell-
cell signaling links and effective systems-level analyses of those links. We construct a …

Abstract Development of high throughput single-cell sequencing technologies has made it
cost-effective to profile thousands of cells from diverse samples containing multiple cell …

Single-cell RNA-sequencing data has revolutionized our ability to understand of the patterns
of cell–cell and ligand–receptor connectivity that influence the function of tissues and …

Cell-cell communication is a key aspect of dissecting the complex cellular
microenvironment. Existing single-cell and spatial transcriptomics-based methods primarily …

Motivation Recent years have seen the release of several toolsets that reveal cell–cell
interactions from single-cell data. However, all existing approaches leverage mean celltype …