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("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 |
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 |