DOI: 10.18129/B9.bioc.POWSC  

This is the development version of POWSC; for the stable release version, see POWSC.

Simulation, power evaluation, and sample size recommendation for single cell RNA-seq

Bioconductor version: Development (3.18)

Determining the sample size for adequate power to detect statistical significance is a crucial step at the design stage for high-throughput experiments. Even though a number of methods and tools are available for sample size calculation for microarray and RNA-seq in the context of differential expression (DE), this topic in the field of single-cell RNA sequencing is understudied. Moreover, the unique data characteristics present in scRNA-seq such as sparsity and heterogeneity increase the challenge. We propose POWSC, a simulation-based method, to provide power evaluation and sample size recommendation for single-cell RNA sequencing DE analysis. POWSC consists of a data simulator that creates realistic expression data, and a power assessor that provides a comprehensive evaluation and visualization of the power and sample size relationship.

Author: Kenong Su [aut, cre], Hao Wu [aut]

Maintainer: Kenong Su <kenong.su at emory.edu>

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biocViews DifferentialExpression, ImmunoOncology, SingleCell, Software
Version 1.9.0
In Bioconductor since BioC 3.13 (R-4.1) (2.5 years)
License GPL-2
Depends R (>= 4.1), Biobase, SingleCellExperiment, MAST
Imports pheatmap, ggplot2, RColorBrewer, grDevices, SummarizedExperiment, limma
Suggests rmarkdown, knitr, testthat (>= 3.0.0), BiocStyle
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