factDesign

Factorial designed microarray experiment analysis

Bioconductor version: Release (2.7)

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 stats
Suggests affy, genefilter
System Requirements
License LGPL
URL
Depends On Me
Imports Me
Suggests Me
Version 1.26.0

Package Downloads

Package Source factDesign_1.26.0.tar.gz
Windows Binary factDesign_1.26.0.zip (32- & 64-bit)
MacOS 10.5 (Leopard) binary factDesign_1.26.0.tgz
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