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 (3.21)

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 "4.5") 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 1.79.0
In Bioconductor since BioC 1.6 (R-2.1) or earlier (> 19.5 years)
License GPL (>= 2)
Depends
Imports MASS, stats
System Requirements
URL http://www.microarrays.med.uni-goettingen.de
See More
Suggests
Linking To
Enhances
Depends On Me
Imports Me
Suggests Me
Links To Me
Build Report Build Report

Package Archives

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

Source Package daMA_1.79.0.tar.gz
Windows Binary (x86_64) daMA_1.79.0.zip
macOS Binary (x86_64) daMA_1.79.0.tgz
macOS Binary (arm64) daMA_1.79.0.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