Hierarchicell: an R-package for estimating power for tests of differential expression with single-cell data
Abstract
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.
Document Details
- Document Type
- Pub Defense Publication
- Publication Date
- May 01, 2021
- Source ID
- 10.1186/s12864-021-07635-w
Entities
People
- Carl D. Langefeld
- Kip D. Zimmerman
Organizations
- National Cancer Institute
- National Institutes of Health
- United States Department of Defense