To install this package, start R and enter:
## try http:// if https:// URLs are not supported source("https://bioconductor.org/biocLite.R") biocLite("daMA")
In most cases, you don't need to download the package archive at all.
This package is for version 3.1 of Bioconductor; for the stable, up-to-date release version, see daMA.
Bioconductor version: 3.1
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 and enter:
## try http:// if https:// URLs are not supported source("https://bioconductor.org/biocLite.R") biocLite("daMA")
Reference Manual |
biocViews | DifferentialExpression, Microarray, Software, TwoChannel |
Version | 1.40.0 |
In Bioconductor since | BioC 1.6 (R-2.1) or earlier (> 11 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 | |
Suggests Me | |
Build Report |
Follow Installation instructions to use this package in your R session.
Package Source | daMA_1.40.0.tar.gz |
Windows Binary | daMA_1.40.0.zip |
Mac OS X 10.6 (Snow Leopard) | daMA_1.40.0.tgz |
Mac OS X 10.9 (Mavericks) | daMA_1.40.0.tgz |
Subversion source | (username/password: readonly) |
Git source | https://github.com/Bioconductor-mirror/daMA/tree/release-3.1 |
Package Short Url | http://bioconductor.org/packages/daMA/ |
Package Downloads Report | Download Stats |
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