To install this package, start R and enter:
## try http:// if https:// URLs are not supported source("https://bioconductor.org/biocLite.R") biocLite("maSigPro")
In most cases, you don't need to download the package archive at all.
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Bioconductor version: 3.2
maSigPro is a regression based approach to find genes for which there are significant gene expression profile differences between experimental groups in time course microarray experiments.
Author: Ana Conesa <aconesa at cipf.es>, Maria Jose Nueda <mj.nueda at ua.es>
Maintainer: Maria Jose Nueda <mj.nueda at ua.es>
Citation (from within R,
enter citation("maSigPro")
):
To install this package, start R and enter:
## try http:// if https:// URLs are not supported source("https://bioconductor.org/biocLite.R") biocLite("maSigPro")
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("maSigPro")
maSigPro Vignette | ||
maSigProUsersGuide.pdf | ||
Reference Manual |
biocViews | DifferentialExpression, Microarray, Software, TimeCourse |
Version | 1.42.0 |
In Bioconductor since | BioC 1.7 (R-2.2) (10.5 years) |
License | GPL (>= 2) |
Depends | R (>= 2.3.1), stats, Biobase, MASS |
Imports | Biobase, graphics, grDevices, limma, Mfuzz, stats, utils, MASS |
LinkingTo | |
Suggests | |
SystemRequirements | |
Enhances | |
URL | http://bioinfo.cipf.es/ |
Depends On Me | |
Imports Me | |
Suggests Me | oneChannelGUI |
Build Report |
Follow Installation instructions to use this package in your R session.
Package Source | maSigPro_1.42.0.tar.gz |
Windows Binary | maSigPro_1.42.0.zip |
Mac OS X 10.6 (Snow Leopard) | maSigPro_1.42.0.tgz |
Mac OS X 10.9 (Mavericks) | maSigPro_1.42.0.tgz |
Subversion source | (username/password: readonly) |
Git source | https://github.com/Bioconductor-mirror/maSigPro/tree/release-3.2 |
Package Short Url | http://bioconductor.org/packages/maSigPro/ |
Package Downloads Report | Download Stats |
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