This package is for version 3.15 of Bioconductor; for the stable, up-to-date release version, see POWSC.
Bioconductor version: 3.15
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,
enter citation("POWSC")
):
To install this package, start R (version "4.2") 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.
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("POWSC")
HTML | R Script | The POWSC User's Guide |
Reference Manual | ||
Text | NEWS |
biocViews | DifferentialExpression, ImmunoOncology, SingleCell, Software |
Version | 1.4.0 |
In Bioconductor since | BioC 3.13 (R-4.1) (1.5 years) |
License | GPL-2 |
Depends | R (>= 4.1), Biobase, SingleCellExperiment, MAST |
Imports | pheatmap, ggplot2, RColorBrewer, grDevices, SummarizedExperiment, limma |
LinkingTo | |
Suggests | rmarkdown, knitr, testthat (>= 3.0.0), BiocStyle |
SystemRequirements | |
Enhances | |
URL | |
Depends On Me | |
Imports Me | |
Suggests Me | |
Links To Me | |
Build Report |
Follow Installation instructions to use this package in your R session.
Source Package | POWSC_1.4.0.tar.gz |
Windows Binary | POWSC_1.4.0.zip |
macOS Binary (x86_64) | POWSC_1.4.0.tgz |
Source Repository | git clone https://git.bioconductor.org/packages/POWSC |
Source Repository (Developer Access) | git clone git@git.bioconductor.org:packages/POWSC |
Package Short Url | https://bioconductor.org/packages/POWSC/ |
Package Downloads Report | Download Stats |
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