daMA
Efficient design and analysis of factorial two-colour microarray data
Bioconductor version: Release (3.17)
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 (version "4.3") 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 | 1.72.0 |
| In Bioconductor since | BioC 1.6 (R-2.1) or earlier (> 18 years) |
| License | GPL (>= 2) |
| Depends | |
| Imports | MASS, stats |
| Linking To | |
| Suggests | |
| System Requirements | |
| Enhances | |
| URL | http://www.microarrays.med.uni-goettingen.de |
See More
| Depends On Me | |
| Imports Me | |
| Suggests Me | |
| Links To Me | |
| Build Report |
Package Archives
Follow Installation instructions to use this package in your R session.
| Source Package | daMA_1.72.0.tar.gz |
| Windows Binary | daMA_1.72.0.zip |
| macOS Binary (x86_64) | daMA_1.72.0.tgz |
| macOS Binary (arm64) | daMA_1.72.0.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 |