factDesign

Factorial designed microarray experiment analysis

Bioconductor version: 2.5

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

To install this package, start R and enter:

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

Documentation

PDF

R Script

factDesign

Reference Manual

Details

biocViews	Bioinformatics, Microarray, DifferentialExpression
Depends	Biobase
Imports	genefilter, stats
Suggests	affy
System Requirements
License	LGPL
URL
Depends On Me
Imports Me
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Version	1.22.0

Package Downloads

Package Source	factDesign_1.22.0.tar.gz
Windows Binary	factDesign_1.22.0.zip (32- & 64-bit)
MacOS 10.5 (Leopard) binary	factDesign_1.22.0.tgz
Package Downloads Report	Download Stats