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.
daMA
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This package is for version 3.4 of Bioconductor; for the stable, up-to-date release version, see daMA.
Efficient design and analysis of factorial two-colour microarray data
Bioconductor version: 3.4
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 and enter:
## try http:// if https:// URLs are not supported
source("https://bioconductor.org/biocLite.R")
biocLite("daMA")
Documentation
| Reference Manual |
Details
| biocViews | DifferentialExpression, Microarray, Software, TwoChannel |
| Version | 1.46.0 |
| In Bioconductor since | BioC 1.6 (R-2.1) or earlier (> 12 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 |
Package Archives
Follow Installation instructions to use this package in your R session.
| Package Source | daMA_1.46.0.tar.gz |
| Windows Binary | daMA_1.46.0.zip |
| Mac OS X 10.9 (Mavericks) | daMA_1.46.0.tgz |
| Subversion source | (username/password: readonly) |
| Git source | https://github.com/Bioconductor-mirror/daMA/tree/release-3.4 |
| Package Short Url | http://bioconductor.org/packages/daMA/ |
| Package Downloads Report | Download Stats |
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