With the dramatic development of single-cell RNA sequencing (scRNA-seq) technologies,
the systematic decoding of cell-cell communication has received great research interest. To …

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 …

Cell− cell communication, as a basic feature of multicellular organisms, is crucial for
maintaining the biological functions and microenvironmental homeostasis of cells, organs …

Cell-cell communication (CCC) is critical for determining cell fates and functions in
multicellular organisms. With the advent of single-cell RNA-sequencing (scRNA-seq) and …

Motivation Recently, single-cell RNA-seq (scRNA-seq) data have been used to study
cellular communication. Most bioinformatics methods infer only the intercellular signaling …

For multicellular organisms, cell-cell communication is essential to numerous biological
processes. Drawing upon the latest development of single-cell RNA-sequencing (scRNA …

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 data, especially transcriptomics, has sparked an
increased interest in the inference of cell-cell communication. Many computational tools …

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 …

Background: Cell–cell communication in a tumor microenvironment is vital to tumorigenesis,
tumor progression and therapy. Intercellular communication inference helps understand …