POWSC
Simulation, power evaluation, and sample size recommendation for single cell RNA-seq
Bioconductor version: Release (3.17)
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("POWSC")
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Installation
To install this package, start R (version "4.3") 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.
Documentation
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("POWSC")
The POWSC User's Guide | HTML | R Script |
Reference Manual | ||
NEWS | Text |
Details
biocViews | DifferentialExpression, ImmunoOncology, SingleCell, Software |
Version | 1.8.0 |
In Bioconductor since | BioC 3.13 (R-4.1) (2 years) |
License | GPL-2 |
Depends | R (>= 4.1), Biobase, SingleCellExperiment, MAST |
Imports | pheatmap, ggplot2, RColorBrewer, grDevices, SummarizedExperiment, limma |
Linking To | |
Suggests | rmarkdown, knitr, testthat (>= 3.0.0), BiocStyle |
System Requirements | |
Enhances | |
URL |
See More
Depends On Me | |
Imports Me | |
Suggests Me | |
Links To Me | |
Build Report |
Package Archives
Follow Installation instructions to use this package in your R session.
Source Package | POWSC_1.8.0.tar.gz |
Windows Binary | POWSC_1.8.0.zip |
macOS Binary (x86_64) | POWSC_1.8.0.tgz |
macOS Binary (arm64) | POWSC_1.8.0.tgz |
Source Repository | git clone https://git.bioconductor.org/packages/POWSC |
Source Repository (Developer Access) | git clone git@git.bioconductor.org:packages/POWSC |
Bioc Package Browser | https://code.bioconductor.org/browse/POWSC/ |
Package Short Url | https://bioconductor.org/packages/POWSC/ |
Package Downloads Report | Download Stats |