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To install this package, start R and enter:
## try http if https is not available
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: 3.1
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 is not available
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")
| R Script | R/maanova HowTo | |
| Reference Manual |
Details
| biocViews | Clustering, DifferentialExpression, Microarray, Software |
| Version | 1.38.0 |
| In Bioconductor since | BioC 1.7 (R-2.2) (10 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_1.38.0.tar.gz |
| Windows Binary | maanova_1.38.0.zip (32- & 64-bit) |
| Mac OS X 10.6 (Snow Leopard) | maanova_1.38.0.tgz |
| Mac OS X 10.9 (Mavericks) | maanova_1.38.0.tgz |
| Subversion source | (username/password: readonly) |
| Git source | https://github.com/Bioconductor-mirror/maanova/tree/release-3.1 |
| Package Short Url | http://bioconductor.org/packages/maanova/ |
| Package Downloads Report | Download Stats |
Documentation »
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