DOI: 10.18129/B9.bioc.factDesign  

This package is for version 3.16 of Bioconductor; for the stable, up-to-date release version, see factDesign.

Factorial designed microarray experiment analysis

Bioconductor version: 3.16

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")):


To install this package, start R (version "4.2") and enter:

if (!require("BiocManager", quietly = TRUE))


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


To view documentation for the version of this package installed in your system, start R and enter:



PDF R Script factDesign
PDF   Reference Manual


biocViews DifferentialExpression, Microarray, Software
Version 1.74.0
In Bioconductor since BioC 1.6 (R-2.1) or earlier (> 18 years)
License LGPL
Depends Biobase(>= 2.5.5)
Imports stats
Suggests affy, genefilter, multtest
Depends On Me
Imports Me
Suggests Me
Links To Me
Build Report  

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

Source Package factDesign_1.74.0.tar.gz
Windows Binary factDesign_1.74.0.zip (64-bit only)
macOS Binary (x86_64) factDesign_1.74.0.tgz
macOS Binary (arm64) factDesign_1.74.0.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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