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daMA

This is the development version of daMA; for the stable release version, see daMA.

Efficient design and analysis of factorial two-colour microarray data

Bioconductor version: Development (3.18)

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>

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

Installation

To install this package, start R (version "4.3") and enter: 

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

# The following initializes usage of Bioc devel
BiocManager::install(version='devel')

BiocManager::install("daMA")

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

Documentation

Reference Manual PDF

Details

biocViews DifferentialExpression, Microarray, Software, TwoChannel
Version 1.73.0
In Bioconductor since BioC 1.6 (R-2.1) or earlier (> 18 years)
License GPL (>= 2)
Depends
Imports MASS, stats
Linking To
Suggests
System Requirements
Enhances
URL http://www.microarrays.med.uni-goettingen.de
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Depends On Me
Imports Me
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Package Archives

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

Source Package daMA_1.73.0.tar.gz
Windows Binary daMA_1.73.0.zip
macOS Binary (x86_64) daMA_1.73.0.tgz
macOS Binary (arm64) daMA_1.73.0.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/
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