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("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 | R Script | |
Reference Manual |
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 |
System Requirements | |
URL |
See More
Suggests | affy, genefilter, multtest |
Linking To | |
Enhances | |
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_1.80.0.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/ |
Package Downloads Report | Download Stats |