daMA

DOI: 10.18129/B9.bioc.daMA  

Efficient design and analysis of factorial two-colour microarray data

Bioconductor version: Release (3.16)

This package contains functions for the efficient design of factorial two-colour microarray experiments and for the statistical analysis of factorial microarray data. Statistical details are described in Bretz et al. (2003, submitted)

Author: Jobst Landgrebe <jlandgr1 at gwdg.de> and Frank Bretz <bretz at bioinf.uni-hannover.de>

Maintainer: Jobst Landgrebe <jlandgr1 at gwdg.de>

Installation

To install this package, start R (version "4.2") and enter:

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

BiocManager::install("daMA")

For older versions of R, please refer to the appropriate Bioconductor release.

Documentation

PDF		Reference Manual

Details

biocViews	DifferentialExpression, Microarray, Software, TwoChannel
Version	1.70.0
In Bioconductor since	BioC 1.6 (R-2.1) or earlier (> 18 years)
License	GPL (>= 2)
Depends
Imports	MASS, stats
LinkingTo
Suggests
SystemRequirements
Enhances
URL	http://www.microarrays.med.uni-goettingen.de
Depends On Me
Imports Me
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Build Report

Package Archives

Follow Installation instructions to use this package in your R session.

Source Package	daMA_1.70.0.tar.gz
Windows Binary	daMA_1.70.0.zip
macOS Binary (x86_64)	daMA_1.70.0.tgz
macOS Binary (arm64)	daMA_1.70.0.tgz
Source Repository	git clone https://git.bioconductor.org/packages/daMA
Source Repository (Developer Access)	git clone git@git.bioconductor.org:packages/daMA
Bioc Package Browser	https://code.bioconductor.org/browse/daMA/
Package Short Url	https://bioconductor.org/packages/daMA/
Package Downloads Report	Download Stats