To install this package, start R and enter:

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

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

factDesign

Factorial designed microarray experiment analysis

Bioconductor version: 2.13

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:

source("http://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 Bioinformatics, DifferentialExpression, Microarray, Software
Version 1.38.0
In Bioconductor since BioC 1.6 (R-2.1) or earlier
License LGPL
Depends Biobase(>= 2.5.5)
Imports stats
Suggests affy, genefilter, multtest
System Requirements
URL
Depends On Me
Imports Me
Suggests Me

Package Archives

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

Package Source factDesign_1.38.0.tar.gz
Windows Binary factDesign_1.38.0.zip (32- & 64-bit)
Mac OS X 10.6 (Snow Leopard) factDesign_1.38.0.tgz
Browse/checkout source (username/password: readonly)
Package Downloads Report Download Stats

Mailing Lists »

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

Fred Hutchinson Cancer Research Center