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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 (3.19)

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")):


To install this package, start R (version "4.4") and enter:

if (!require("BiocManager", quietly = TRUE))

# The following initializes usage of Bioc devel


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


Reference Manual PDF


biocViews DifferentialExpression, Microarray, Software, TwoChannel
Version 1.75.0
In Bioconductor since BioC 1.6 (R-2.1) or earlier (> 19 years)
License GPL (>= 2)
Imports MASS, stats
System Requirements
URL http://www.microarrays.med.uni-goettingen.de
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Follow Installation instructions to use this package in your R session.

Source Package daMA_1.75.0.tar.gz
Windows Binary daMA_1.75.0.zip
macOS Binary (x86_64) daMA_1.75.0.tgz
macOS Binary (arm64) daMA_1.75.0.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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