daMA

This is the released version of daMA; for the devel version, see daMA.

All versions

3.24 (devel), 3.23 (release), 3.22, 3.21, 3.20, 3.19, 3.18, 3.17, 3.16, 3.15, 3.14, 3.13, 3.12, 3.11, 3.10, 3.9, 3.8, 3.7, 3.6, 3.5, 3.4, 3.3, 3.2, 3.1, 3.0, 2.14, 2.13, 2.12, 2.11, 2.10, 2.9, 2.8, 2.7, 2.6, 2.5

Efficient design and analysis of factorial two-colour microarray data

Bioconductor version: Release (3.23)

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")):

Jobst Landgrebe and Frank Bretz. daMA: Efficient design and analysis of factorial two-colour microarray data. doi:10.18129/B9.bioc.daMA, R package version 1.84.0, https://bioconductor.org/packages/daMA.

Generated from the package metadata; it may differ from the package's own citation.

Installation

To install this package, start R (version "4.6") 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

No vignettes available
Reference Manual	PDF

Need some help? Ask on the Bioconductor Support site!

Details

biocViews	DifferentialExpression, Microarray, Software, TwoChannel
Version	1.84.0
In Bioconductor since	BioC 1.6 (R-2.1) or earlier (> 21.5 years)
License	GPL (>= 2)
Depends
Imports	MASS, stats
System Requirements
URL	http://www.microarrays.med.uni-goettingen.de

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Build Report	Build Report, r-universe

Package Archives

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

Source Package	daMA_1.84.0.tar.gz
Windows Binary (x86_64)	daMA_1.84.0.zip
macOS Binary (big-sur-x86_64)	daMA_1.84.0.tgz
macOS Binary (sonoma-arm64)	daMA_1.84.0.tgz
Source Repository	git clone https://git.bioconductor.org/packages/daMA
Source Repository (Developer Access)	git clone git@git.bioconductor.org:packages/daMA
Package Short Url	https://bioconductor.org/packages/daMA/
Package Downloads Report	Download Stats