This is the released version of POWSC; for the devel version, see POWSC.
Simulation, power evaluation, and sample size recommendation for single cell RNA-seqBioconductor version: Release (3.21)
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>
Citation (from within R, entercitation("POWSC")): Installation
To install this package, start R (version "4.5") and enter:
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install("POWSC")
For older versions of R, please refer to the appropriate Bioconductor release.
DocumentationTo view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("POWSC")Follow Installation instructions to use this package in your R session.
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