daMA
This package is for version 3.9 of Bioconductor; for the stable, up-to-date release version, see daMA.
Efficient design and analysis of factorial two-colour microarray data
Bioconductor version: 3.9
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("daMA")
):
Installation
To install this package, start R (version "3.6") 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
Reference Manual |
Details
biocViews | DifferentialExpression, Microarray, Software, TwoChannel |
Version | 1.56.0 |
In Bioconductor since | BioC 1.6 (R-2.1) or earlier (> 19 years) |
License | GPL (>= 2) |
Depends | |
Imports | MASS, stats |
System Requirements | |
URL | http://www.microarrays.med.uni-goettingen.de |
See More
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Build Report | Build Report |
Package Archives
Follow Installation instructions to use this package in your R session.
Source Package | daMA_1.56.0.tar.gz |
Windows Binary | daMA_1.56.0.zip |
Mac OS X 10.11 (El Capitan) | daMA_1.56.0.tgz |
Source Repository | git clone https://git.bioconductor.org/packages/daMA |
Source Repository (Developer Access) | git clone [email protected]:packages/daMA |
Bioc Package Browser | https://code.bioconductor.org/browse/daMA/ |
Package Short Url | https://bioconductor.org/packages/daMA/ |
Package Downloads Report | Download Stats |
Old Source Packages for BioC 3.9 | Source Archive |