daMA
This is the development version of daMA; for the stable release version, see daMA.
Efficient design and analysis of factorial two-colour microarray data
Bioconductor version: Development (3.24)
This package contains functions for the efficient design of factorial two-colour microarray experiments and for the statistical analysis of factorial microarray data. Statistical details are described in Bretz et al. (2003, submitted)
Author: Jobst Landgrebe <jlandgr1 at gwdg.de> and Frank Bretz <bretz at bioinf.uni-hannover.de>
Maintainer: Jobst Landgrebe <jlandgr1 at gwdg.de>
citation("daMA")):
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")
## The following initializes the development version of Bioconductor
BiocManager::install(version = "devel")
BiocManager::install("daMA")
For older versions of R, please refer to the appropriate Bioconductor release.
Documentation
| Reference Manual |
Details
| biocViews | DifferentialExpression, Microarray, Software, TwoChannel |
| Version | 1.85.0 |
| In Bioconductor since | BioC 1.6 (R-2.1) or earlier (> 21 years) |
| License | GPL (>= 2) |
| Depends | |
| Imports | MASS, stats |
| System Requirements | |
| URL | http://www.microarrays.med.uni-goettingen.de |
See More
| Suggests | |
| 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 | daMA_1.85.0.tar.gz |
| Windows Binary (x86_64) | daMA_1.85.0.zip |
| macOS Binary (big-sur-x86_64) | daMA_1.85.0.tgz |
| macOS Binary (sonoma-arm64) | daMA_1.85.0.tgz |
| Source Repository | git clone https://git.bioconductor.org/packages/daMA |
| Source Repository (Developer Access) | git clone git@git.bioconductor.org:packages/daMA |
| Bioc Package Browser | https://code.bioconductor.org/browse/daMA/ |
| Package Short Url | https://bioconductor.org/packages/daMA/ |
| Package Downloads Report | Download Stats |