factDesign
Factorial designed microarray experiment analysis
Bioconductor version: 3.24 · Package version: 1.89.0
Other Bioconductor versions
devel is the development version; release is the current stable one.
3.24 (devel), 3.23 (release)
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.
Installation
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install("factDesign")Details
| Maintainer | Denise Scholtens <dscholtens@northwestern.edu> |
| Author | Denise Scholtens |
| License | LGPL |
| Source branch | devel |
| Build report | Bioconductor build system, r-universe |
| biocViews | DifferentialExpression, Microarray, Software |
| Package Short Url | https://bioconductor.org/packages/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.
Documentation
Download
Follow the installation instructions to use this package in your R session.
| Source package | factDesign_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 |