factDesign

Factorial designed microarray experiment analysis

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

Documentation

Package Downloads

factDesign

Reference Manual

Package source	factDesign_1.16.0.tar.gz
Windows binary	factDesign_1.16.0.zip
MacOS X 10.4 (Tiger) binary	factDesign_1.16.0.tgz
MacOS X 10.5 (Leopard) binary	factDesign_1.16.0.tgz
Package Downloads Report	Downloads Stats

Details

biocViews	Statistics , Microarray , DifferentialExpression
Depends	Biobase , affy , stats
Imports
Suggests
System Requirements
License	LGPL
URL
Depends On Me
Imports Me
Suggests Me
Development History	Bioconductor Changelog