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factDesign

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

All Bioconductor versions of factDesign

3.24 (devel), 3.23 (release), 3.22, 3.21, 3.20, 3.19, 3.18, 3.17, 3.16, 3.15, 3.14, 3.13, 3.12, 3.11, 3.10, 3.9, 3.8, 3.7, 3.6, 3.5, 3.4, 3.3, 3.2, 3.1, 3.0, 2.14, 2.13, 2.12, 2.11, 2.10, 2.9, 2.8, 2.7, 2.6, 2.5

Factorial designed microarray experiment analysis

Bioconductor version: 3.24 · Package version: 1.89.0

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>

DOI: 10.18129/B9.bioc.factDesign

Citation

From within R, enter citation("factDesign"):

Denise Scholtens. factDesign: Factorial designed microarray experiment analysis. doi:10.18129/B9.bioc.factDesign, R package version 1.89.0, https://bioconductor.org/packages/factDesign.

Generated from the package metadata; it may differ from the package's own citation.

Installation

To install this package, start R (version "4.6") and enter:

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

## The following initializes the development version of Bioconductor
BiocManager::install(version = "devel")

BiocManager::install("factDesign")

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

Details

Version1.89.0
LicenseLGPL
Last updated2026-04-28
In Bioconductor sinceBioC 2.5 or earlier (R-2.10) (16 years)
Downloads rank796 of 2,456
Source branchdevel
Build report Bioconductor build system, r-universe
biocViewsDifferentialExpression, Microarray, Software
Package Short Url https://bioconductor.org/packages/factDesign/

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 ManualPDF

Download

Follow the installation instructions to use this package in your R session.

Source packagefactDesign_1.89.0.tar.gz
Windows binary (x86_64)factDesign_1.89.0.zip
macOS binary (arm64)factDesign_1.89.0.tgz
macOS binary (x86_64)factDesign_1.89.0.tgz
Source Repositorygit clone https://git.bioconductor.org/packages/factDesign
Source Repository (Developer Access)git clone git@git.bioconductor.org:packages/factDesign
Package Downloads ReportDownload Stats
Dependencies

Depends: Biobase (>= 2.5.5)

Imports: stats

Suggests: affy, genefilter, multtest