factDesign

Factorial designed microarray experiment analysis

Bioconductor version: 2.6

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>

To install this package, start R and enter:

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

To cite this package in a publication, start R and enter:

    citation("factDesign")

Documentation

PDF	R Script	factDesign
PDF		Reference Manual

Details

biocViews	Bioinformatics, Microarray, DifferentialExpression
Depends	Biobase(>= 2.5.5)
Imports	genefilter, stats
Suggests	affy
System Requirements
License	LGPL
URL
Depends On Me
Imports Me
Suggests Me
Version	1.24.0
Since	Bioconductor 1.6 (R-2.1) or earlier

Package Downloads

Package Source	factDesign_1.24.0.tar.gz
Windows Binary	factDesign_1.24.0.zip (32- & 64-bit)
MacOS 10.5 (Leopard) binary	factDesign_1.24.0.tgz
Package Downloads Report	Download Stats

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