Assessing differential cell composition in single-cell studies using voomCLR.

ABSTRACT:

Motivation

In single-cell studies, a common question is whether there is a change in cell composition between conditions. While ideally, one needs absolute cell counts (number of cells per volumetric unit in a sample) to address these questions, current experimentation typically obtains cell counts that only carry relative information. Therefore, one should account for the compositional nature of cell count data in the statistical analysis. While recently developed methods address compositionality using compositional transformations together with a bias correction, they do not account for the uncertainty involved in estimation of the bias term, nor do they accommodate the mean-variance structure of the counts.

Results

Here, we introduce a statistical method, voomCLR, for ass

SUBMITTER: Takele Assefa A 

PROVIDER: S-EPMC12812216 | biostudies-literature | 2026 Jan

REPOSITORIES: biostudies-literature