SSPA

DOI: 10.18129/B9.bioc.SSPA    

This package is deprecated. It will probably be removed from Bioconductor. Please refer to the package end-of-life guidelines for more information.

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

Bioconductor version: Release (3.13)

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 "4.1") 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

PDF   Reference Manual

Details

biocViews GeneExpression, ImmunoOncology, Microarray, RNASeq, Software, StatisticalMethod
Version 2.32.1
In Bioconductor since BioC 2.4 (R-2.9) (12.5 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
Windows Binary
macOS 10.13 (High Sierra)
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/
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