DOI: 10.18129/B9.bioc.SSPA    

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

Bioconductor version: Release (3.8)

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

Author: Maarten van Iterson

Maintainer: Maarten van Iterson <mviterson at>

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


To install this package, start R (version "3.5") and enter:

if (!requireNamespace("BiocManager", quietly = TRUE))
BiocManager::install("SSPA", version = "3.8")

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:



PDF R Script SSPA Overview
PDF   Reference Manual
Text   NEWS


biocViews GeneExpression, ImmunoOncology, Microarray, RNASeq, Software, StatisticalMethod
Version 2.22.1
In Bioconductor since BioC 2.4 (R-2.9) (10 years)
License GPL (>= 2)
Depends R (>= 2.12), methods, qvalue, lattice, limma
Imports graphics, stats
Suggests BiocStyle, genefilter, edgeR, DESeq
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_2.22.1.tar.gz
Windows Binary
Mac OS X 10.11 (El Capitan) SSPA_2.22.1.tgz
Source Repository git clone
Source Repository (Developer Access) git clone
Package Short Url
Package Downloads Report Download Stats
Old Source Packages for BioC 3.8 Source Archive

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