Hierarchicell: an R-package for estimating power for tests of differential expression with single-cell data.

ABSTRACT:

Background

Study design is a critical aspect of any experiment, and sample size calculations for statistical power that are consistent with that study design are central to robust and reproducible results. However, the existing power calculators for tests of differential expression in single-cell RNA-seq data focus on the total number of cells and not the number of independent experimental units, the true unit of interest for power. Thus, current methods grossly overestimate the power.

Results

Hierarchicell is the first single-cell power calculator to explicitly simulate and account for the hierarchical correlation structure (i.e., within sample correlation) that exists in single-cell RNA-seq data. Hierarchicell, an R-package available on GitHub, estimates the within sample

SUBMITTER: Zimmerman KD 

PROVIDER: S-EPMC8088563 | biostudies-literature | 2021 May

REPOSITORIES: biostudies-literature