Registration Open for Bioc2024 July 24-26


This is the development version of factDesign; for the stable release version, see factDesign.

Factorial designed microarray experiment analysis

Bioconductor version: Development (3.20)

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>

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


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

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

# The following initializes usage of Bioc devel


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:

factDesign PDF R Script
Reference Manual PDF


biocViews DifferentialExpression, Microarray, Software
Version 1.81.0
In Bioconductor since BioC 1.6 (R-2.1) or earlier (> 19 years)
License LGPL
Depends Biobase(>= 2.5.5)
Imports stats
System Requirements
See More
Suggests affy, genefilter, multtest
Linking To
Depends On Me
Imports Me
Suggests Me
Links To Me
Build Report Build Report

Package Archives

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

Source Package factDesign_1.81.0.tar.gz
Windows Binary
macOS Binary (x86_64) factDesign_1.81.0.tgz
macOS Binary (arm64) factDesign_1.81.0.tgz
Source Repository git clone
Source Repository (Developer Access) git clone
Bioc Package Browser
Package Short Url
Package Downloads Report Download Stats