factDesign

DOI: 10.18129/B9.bioc.factDesign    

Factorial designed microarray experiment analysis

Bioconductor version: Release (3.6)

This package provides a set of tools for analyzing data from a factorial designed microarray experiment, or any microarray experiment for which a linear model is appropriate. The functions can be used to evaluate tests of contrast of biological interest and perform single outlier detection.

Author: Denise Scholtens

Maintainer: Denise Scholtens <dscholtens at northwestern.edu>

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

Installation

To install this package, start R and enter:

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

Documentation

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

browseVignettes("factDesign")

 

PDF R Script factDesign
PDF   Reference Manual

Details

biocViews DifferentialExpression, Microarray, Software
Version 1.54.0
In Bioconductor since BioC 1.6 (R-2.1) or earlier (> 13 years)
License LGPL
Depends Biobase(>= 2.5.5)
Imports stats
LinkingTo
Suggests affy, genefilter, multtest
SystemRequirements
Enhances
URL
Depends On Me
Imports Me
Suggests Me
Build Report  

Package Archives

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

Source Package factDesign_1.54.0.tar.gz
Windows Binary factDesign_1.54.0.zip
Mac OS X 10.11 (El Capitan) factDesign_1.54.0.tgz
Source Repository git clone https://git.bioconductor.org/packages/factDesign
Package Short Url http://bioconductor.org/packages/factDesign/
Package Downloads Report Download Stats

Documentation »

Bioconductor

R / CRAN packages and documentation

Support »

Please read the posting guide. Post questions about Bioconductor to one of the following locations: