Hierarchicell
Hierarchicell is an R-package for power calculations in single-cell RNA-seq experiments, addressing the overestimation issue inherent in existing calculators by focusing on the number of independent experimental units rather than total cell count. It simulates hierarchical correlation structures within samples to provide accurate power estimates for differential expression tests. This tool models various data aspects, including gene dropout rates and intra- and inter-individual variation. Hierarchicell supports both binary and continuous phenotype analyses, catering to user-defined experimental unit numbers and cell counts within those units. Available on GitHub, it enhances experimental design accuracy in single-cell RNA-seq studies.
Topic
RNA-Seq;Gene expression;Genotype and phenotype;RNA;Protein expression
Detail
Operation: Regression analysis;Expression correlation analysis;Differential gene expression profiling
Software interface: Library
Language: R
License: Creative Commons license
Cost: -
Version name: v1.0
Credit: The Center for Public Health Genomics, NIH, Department of Defense, and the National Cancer Institute.
Input: -
Output: -
Contact: Kip D. Zimmerman kdzimmer@wakehealth.edu ,Carl D. Langefeld clangefe@wakehealth.edu
Collection: -
Maturity: -
Publications
- Hierarchicell: an R-package for estimating power for tests of differential expression with single-cell data.
- Zimmerman KD and Langefeld CD. Hierarchicell: an R-package for estimating power for tests of differential expression with single-cell data. Hierarchicell: an R-package for estimating power for tests of differential expression with single-cell data. 2021; 22:319. doi: 10.1186/s12864-021-07635-w
- https://doi.org/10.1186/S12864-021-07635-W
- PMID: 33932993
- PMC: PMC8088563
Download and documentation
Documentation: https://github.com/kdzimm/hierarchicell/blob/master/README.md
Home page: https://github.com/kdzimm/hierarchicell
Links: https://github.com/kdzimm/hierarchicell/tree/master/man
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