CrossTalkeR: analysis and visualization of ligand-receptorne tworks.

ABSTRACT:

Motivation

Ligand-receptor (LR) network analysis allows the characterization of cellular crosstalk based on single cell RNA-seq data. However, current methods typically provide a list of inferred LR interactions and do not allow the researcher to focus on specific cell types, ligands or receptors. In addition, most of these methods cannot quantify changes in crosstalk between two biological phenotypes.

Results

CrossTalkeR is a framework for network analysis and visualization of LR interactions. CrossTalkeR identifies relevant ligands, receptors and cell types contributing to changes in cell communication when contrasting two biological phenotypes, i.e. disease versus homeostasis. A case study on scRNA-seq of human myeloproliferative neoplasms reinforces the strengths of Cros

SUBMITTER: Nagai JS 

PROVIDER: S-EPMC9502146 | biostudies-literature | 2021 Nov

REPOSITORIES: biostudies-literature