To install this package, start R and enter:

## try http:// if https:// URLs are not supported
source("https://bioconductor.org/biocLite.R")
biocLite("maanova")

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

maanova

 

   

Tools for analyzing Micro Array experiments

Bioconductor version: Release (3.4)

Analysis of N-dye Micro Array experiment using mixed model effect. Containing analysis of variance, permutation and bootstrap, cluster and consensus tree.

Author: Hao Wu, modified by Hyuna Yang and Keith Sheppard with ideas from Gary Churchill, Katie Kerr and Xiangqin Cui.

Maintainer: Keith Sheppard <keith.sheppard at jax.org>

Citation (from within R, enter citation("maanova")):

Installation

To install this package, start R and enter:

## try http:// if https:// URLs are not supported
source("https://bioconductor.org/biocLite.R")
biocLite("maanova")

Documentation

To view documentation for the version of this package installed in your system, start R and enter:

browseVignettes("maanova")

 

PDF R/maanova HowTo
PDF   Reference Manual

Details

biocViews Clustering, DifferentialExpression, Microarray, Software
Version 1.44.0
In Bioconductor since BioC 1.7 (R-2.2) (11.5 years)
License GPL (>= 2)
Depends R (>= 2.10)
Imports Biobase, graphics, grDevices, methods, stats, utils
LinkingTo
Suggests qvalue, snow
SystemRequirements
Enhances Rmpi
URL http://research.jax.org/faculty/churchill
Depends On Me
Imports Me
Suggests Me
Build Report  

Package Archives

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

Package Source maanova_1.44.0.tar.gz
Windows Binary maanova_1.44.0.zip (32- & 64-bit)
Mac OS X 10.9 (Mavericks) maanova_1.44.0.tgz
Subversion source (username/password: readonly)
Git source https://github.com/Bioconductor-mirror/maanova/tree/release-3.4
Package Short Url http://bioconductor.org/packages/maanova/
Package Downloads Report Download Stats

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