- recipe bioconductor-powsc
Simulation, power evaluation, and sample size recommendation for single cell RNA-seq
- Homepage
- License
GPL-2
- Recipe
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.
- package bioconductor-powsc¶
-
- Versions
1.2.0-0
,1.0.0-0
- Depends
bioconductor-biobase
>=2.54.0,<2.55.0
bioconductor-limma
>=3.50.0,<3.51.0
bioconductor-mast
>=1.20.0,<1.21.0
bioconductor-singlecellexperiment
>=1.16.0,<1.17.0
bioconductor-summarizedexperiment
>=1.24.0,<1.25.0
r-base
>=4.1,<4.2.0a0
- Required By
Installation
With an activated Bioconda channel (see 2. Set up channels), install with:
conda install bioconductor-powsc
and update with:
conda update bioconductor-powsc
or use the docker container:
docker pull quay.io/biocontainers/bioconductor-powsc:<tag>
(see bioconductor-powsc/tags for valid values for
<tag>
)
Download stats¶
Link to this page¶
Render an badge with the following MarkDown:
[](http://bioconda.github.io/recipes/bioconductor-powsc/README.html)