Mathematical model for the relationship between single-cell and bulk gene expression to clarify the interpretation of bulk gene expression data.

ABSTRACT:

Background

Differential expression analysis is a standard approach in molecular biology. For example, genes whose expression levels differ between diseased and non-diseased samples are considered to be associated with that disease. On the other hand, differential variability analysis focuses on the differences of the variances of gene expression between sample groups. Although differential variability is also known to capture biological information, its interpretation remains unclear and controversial. Recent single-cell analyses have revealed that differences between sample groups can affect gene expression in a cellular subset-specific manner or by altering the proportion of a particular cellular subset. The aim of this study is to clarify the interpretation of mean and variance

SUBMITTER: Okada D 

PROVIDER: S-EPMC9474327 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature