To install this package, start R and enter:

source("http://bioconductor.org/biocLite.R")
biocLite("daMA")

In most cases, you don't need to download the package archive at all.

daMA

Efficient design and analysis of factorial two-colour microarray data

Bioconductor version: 2.14

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:

source("http://bioconductor.org/biocLite.R")
biocLite("daMA")

Documentation

PDF   Reference Manual

Details

biocViews DifferentialExpression, Microarray, Software, TwoChannel
Version 1.36.0
In Bioconductor since BioC 1.6 (R-2.1) or earlier
License GPL (>= 2)
Depends
Imports MASS, stats
Suggests
System Requirements
URL http://www.microarrays.med.uni-goettingen.de
Depends On Me
Imports Me
Suggests Me

Package Archives

Follow Installation instructions to use this package in your R session.

Package Source daMA_1.36.0.tar.gz
Windows Binary daMA_1.36.0.zip (32- & 64-bit)
Mac OS X 10.6 (Snow Leopard) daMA_1.36.0.tgz
Mac OS X 10.9 (Mavericks) daMA_1.36.0.tgz
Browse/checkout source (username/password: readonly)
Package Downloads Report Download Stats

Workflows »

Common Bioconductor workflows include:

 

Mailing Lists »

Post questions about Bioconductor packages to our mailing lists. Read the posting guide before posting!

Fred Hutchinson Cancer Research Center

Contact us: support.bioconductor.org

Hosting provided by Fred Hutchinson Cancer Research Center

Copyright © 2003 - 2014