… to predict potential cell-cell communication events. Yet the … compare 16 cell-cell communication
inference resources and … Finally, we assess the agreement of cell-cell communication …

… One of the key challenges in developing algorithms for analyzing cell–cell communication
using single-cell RNA sequencing (scRNA-seq) data is the lack of reliable ground truth for the …

… composed of multiple cell types that communicate by ligand-… communication by ligand-receptor
interactions across all cell types in a microenvironment using single-cell RNA sequencing…

… cell RNA sequencing (scRNA-seq) technologies provides a way to study cell–cell communication
using RNA … scRNA-seq data can be used to infer intercellular communication through …

… Cell to cell communication is critical for all multicellular organisms, and single-cell
sequencing … Cell to cell communication is critical for all multicellular organisms. Most inter-tissue …

… spatially adjacent cell types should have stronger cell–cell communication than spatially
distant cells. We have studied cell–cell communication for four spatially colocalized cell …

… more comprehensive description of cell–cell communication. This … to infer cell–cell
communication from non-spatial single-cell and … is single-cell RNA sequencing (scRNA-seq), …

… Paracrine cell–cell communication does not require cell–cell contact, rather depending on
… direct measurement of protein abundances, RNA sequencing (RNA-seq) data sets are more …

… data resource that explores cell−cell communication networks in human and mouse
tissues under normal and disease conditions using scRNA-seq. Given the advantages of the …

… Cell–cell communication is a critical process that maintains the biological functions and
microenvironmental hemostasis of cells, organs… Single-cell RNA sequencing provides single-cell …