factDesign
This is the released version of factDesign; for the devel version, see factDesign.
Factorial designed microarray experiment analysis
Bioconductor version: Release (3.23)
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")):
Huber W, Carey VJ, Gentleman R, Anders S, Carlson M, Carvalho BS, Bravo HC, Davis S, Gatto L, Girke T, Gottardo R, Hahne F, Hansen KD, Irizarry RA, Lawrence M, Love MI, MacDonald J, Obenchain V, Oleś AK, Pagès H, Reyes A, Shannon P, Smyth GK, Tenenbaum D, Waldron L, Morgan M (2015). "Orchestrating high-throughput genomic analysis with Bioconductor." Nature Methods, 12(2), 115–121. doi:10.1038/nmeth.3252.
Gentleman RC, Carey VJ, Bates DM, Bolstad B, Dettling M, Dudoit S, Ellis B, Gautier L, Ge Y, Gentry J, Hornik K, Hothorn T, Huber W, Iacus S, Irizarry R, Leisch F, Li C, Maechler M, Rossini AJ, Sawitzki G, Smith C, Smyth G, Tierney L, Yang JYH, Zhang J (2004). "Bioconductor: open software development for computational biology and bioinformatics." Genome Biology, 5(10), R80. doi:10.1186/gb-2004-5-10-r80.
Installation
To install this package, start R (version "4.6") 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 | 1.88.0 |
| In Bioconductor since | BioC 1.6 (R-2.1) or earlier (> 21 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_1.88.0.tar.gz |
| Windows Binary (x86_64) | factDesign_1.88.0.zip (64-bit only) |
| macOS Binary (big-sur-x86_64) | factDesign_1.88.0.tgz |
| macOS Binary (sonoma-arm64) | factDesign_1.88.0.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 |