factDesign
Factorial designed microarray experiment analysis
Bioconductor version: 3.23 · Package version: 1.88.0
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.
Installation
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install("factDesign")Details
| Maintainer | Denise Scholtens <dscholtens@northwestern.edu> |
| Author | Denise Scholtens |
| License | LGPL |
| Downloads rank | 579 |
| Source branch | RELEASE_3_23 |
| biocViews | DifferentialExpression, Microarray, Software |
Documentation
Download
Follow the installation instructions to use this package in your R session.
| Source package | factDesign_1.88.0.tar.gz |
| Windows binary (x86_64) | factDesign_1.88.0.zip |
| macOS binary (arm64) | factDesign_1.88.0.tgz |
| macOS binary (x86_64) | factDesign_1.88.0.tgz |