factDesign

DOI: 10.18129/B9.bioc.factDesign    

Factorial designed microarray experiment analysis

Bioconductor version: Release (3.6)

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>

Installation

To install this package, start R and enter:

## try http:// if https:// URLs are not supported
source("https://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	DifferentialExpression, Microarray, Software
Version	1.54.0
In Bioconductor since	BioC 1.6 (R-2.1) or earlier (> 13 years)
License	LGPL
Depends	Biobase(>= 2.5.5)
Imports	stats
LinkingTo
Suggests	affy, genefilter, multtest
SystemRequirements
Enhances
URL
Depends On Me
Imports Me
Suggests Me
Build Report

Package Archives

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

Source Package	factDesign_1.54.0.tar.gz
Windows Binary	factDesign_1.54.0.zip
Mac OS X 10.11 (El Capitan)	factDesign_1.54.0.tgz
Source Repository	git clone https://git.bioconductor.org/packages/factDesign
Package Short Url	http://bioconductor.org/packages/factDesign/
Package Downloads Report	Download Stats