Codependency and mutual exclusivity for gene community detection from sparse single-cell transcriptome data.

ABSTRACT: Single-cell RNA-seq (scRNA-seq) can be used to characterize cellular heterogeneity in thousands of cells. The reconstruction of a gene network based on coexpression patterns is a fundamental task in scRNA-seq analyses, and the mutual exclusivity of gene expression can be critical for understanding such heterogeneity. Here, we propose an approach for detecting communities from a genetic network constructed on the basis of coexpression properties. The community-based comparison of multiple coexpression networks enables the identification of functionally related gene clusters that cannot be fully captured through differential gene expression-based analysis. We also developed a novel metric referred to as the exclusively expressed index (EEI) that identifies mutually exclusive gene pairs from

SUBMITTER: Nakajima N 

PROVIDER: S-EPMC8501962 | biostudies-literature | 2021 Oct

REPOSITORIES: biostudies-literature