SSPA

DOI: 10.18129/B9.bioc.SSPA    

General Sample Size and Power Analysis for Microarray and Next-Generation Sequencing Data

Bioconductor version: Release (3.11)

General Sample size and power analysis for microarray and next-generation sequencing data.

Author: Maarten van Iterson

Maintainer: Maarten van Iterson <mviterson at gmail.com>

Citation (from within R, enter citation("SSPA")):

Installation

To install this package, start R (version "4.0") and enter:

if (!requireNamespace("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

BiocManager::install("SSPA")

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("SSPA")

 

HTML R Script Power and sample size analysis, Microarray data, RNAseq data
PDF   Reference Manual
Text   NEWS

Details

biocViews GeneExpression, ImmunoOncology, Microarray, RNASeq, Software, StatisticalMethod
Version 2.28.0
In Bioconductor since BioC 2.4 (R-2.9) (11 years)
License GPL (>= 2)
Depends R (>= 2.12), methods
Imports graphics, stats, qvalue, lattice, limma
LinkingTo
Suggests BiocStyle, knitr, rmarkdown, genefilter, edgeR, DESeq
SystemRequirements
Enhances
URL http://www.humgen.nl/MicroarrayAnalysisGroup.html
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 SSPA_2.28.0.tar.gz
Windows Binary SSPA_2.28.0.zip (32- & 64-bit)
macOS 10.13 (High Sierra) SSPA_2.28.0.tgz
Source Repository git clone https://git.bioconductor.org/packages/SSPA
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/SSPA
Package Short Url https://bioconductor.org/packages/SSPA/
Package Downloads Report Download Stats
Old Source Packages for BioC 3.11 Source Archive

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