A robust model for cell type-specific interindividual variation in single-cell RNA sequencing data.

ABSTRACT: The development of single-cell RNA sequencing (scRNA-seq) offers opportunities to characterize cellular heterogeneity at unprecedented resolution. Although scRNA-seq has been widely used to identify and characterize gene expression variation across cell types and cell states based on their average gene expression profiles, most studies ignore variation across individual donors. Modelling this inter-individual variation could improve statistical power to detect cell type-specific biology and inform the genes and cell types that underlying complex traits. We therefore develop a new model to detect and quantify cell type-specific variation across individuals called CTMM (Cell Type-specific linear Mixed Model). CTMM operates on cell type-specific pseudobulk expression and is fit with efficient

SUBMITTER: Chen M 

PROVIDER: S-EPMC10002707 | biostudies-literature | 2023 Feb

REPOSITORIES: biostudies-literature