… cellular communication from scRNA-seq data. Genes associated with the detected effect of
cellular communication are … the effect of cell–cell communication through an integrated Gene …

… using bulk RNA sequencing may not accurately capture the cellular heterogeneity and
complexity of cell interactions. Single-cell RNAseq based cell–cell communication analysis (…

… Single-cell RNA sequencing (scRNA-Seq) data has become a driving force in the analysis
of the cellular heterogeneity of tissues. Furthermore, Spatial Transcriptomics has recently …

… the cellular composition of a tumor, it is crucial to understand how the different cellular …
using both bulk and single-cell sequencing data to examine cell-cell communication exist ( …

Motivation Cell to cell communication is critical for all multicellular organisms, and single-cell
sequencing facilitates the construction of full connectivity graphs between cell types in …

CellCommuNet: an atlas of cell–cell communication networks from single-cell RNA
sequencing of human and mouse tissues Page 1 Nucleic Acids Research, 2024, 52, D597–…

… Here we sequence single-cell RNA-seq libraries prepared from over 1,700 primary mouse
… of cells detectably expressing a given messenger RNA and the transcript’s level within …

… In this paper, a single-cell RNA sequencing dataset was taken to a systematic genetic … The
results of Cell communication analysis showed 17 potential cellular communication networks …

… , that is, the cellular characteristics resulting in the … cellular communication mechanisms,
which increase the complexity of tumor development. Understanding these communication …

… shown to determine the heterogeneity of cellular communication in different individuals.
These findings suggest a microenvironmental mechanism underlying the development of VS. …