factDesign

Factorial designed microarray experiment analysis


Bioconductor version: Release (3.19)

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>

Citation (from within R, enter citation("factDesign")):

Installation

To install this package, start R (version "4.4") and enter:


if (!require("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")
factDesign PDF R Script
Reference Manual PDF

Details

biocViews DifferentialExpression, Microarray, Software
Version 1.80.0
In Bioconductor since BioC 1.6 (R-2.1) or earlier (> 19.5 years)
License LGPL
Depends Biobase(>= 2.5.5)
Imports stats
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Suggests affy, genefilter, multtest
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Package Archives

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

Source Package factDesign_1.80.0.tar.gz
Windows Binary factDesign_1.80.0.zip (64-bit only)
macOS Binary (x86_64) factDesign_1.80.0.tgz
macOS Binary (arm64) factDesign_1.80.0.tgz
Source Repository git clone https://git.bioconductor.org/packages/factDesign
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/factDesign
Bioc Package Browser https://code.bioconductor.org/browse/factDesign/
Package Short Url https://bioconductor.org/packages/factDesign/
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