factDesign

DOI: 10.18129/B9.bioc.factDesign    

This package is for version 3.13 of Bioconductor; for the stable, up-to-date release version, see factDesign.

Factorial designed microarray experiment analysis

Bioconductor version: 3.13

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 (version "4.1") and enter:

if (!requireNamespace("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

BiocManager::install("factDesign")

For older versions of R, please refer to the appropriate Bioconductor release.

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	1.68.0
In Bioconductor since	BioC 1.6 (R-2.1) or earlier (> 16.5 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
Links To Me
Build Report

Package Archives

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

Source Package	factDesign_1.68.0.tar.gz
Windows Binary	factDesign_1.68.0.zip
macOS 10.13 (High Sierra)	factDesign_1.68.0.tgz
Source Repository	git clone https://git.bioconductor.org/packages/factDesign
Source Repository (Developer Access)	git clone git@git.bioconductor.org:packages/factDesign
Package Short Url	https://bioconductor.org/packages/factDesign/
Package Downloads Report	Download Stats