To install this package, start R and enter:
## try http if https is not available source("https://bioconductor.org/biocLite.R") biocLite("sigaR")
In most cases, you don't need to download the package archive at all.
Bioconductor version: Release (3.1)
Facilites the joint analysis of high-throughput data from multiple molecular levels. Contains functions for manipulation of objects, various analysis types, and some visualization.
Author: Wessel N. van Wieringen <w.vanwieringen at vumc.nl>
Maintainer: Wessel N. van Wieringen <w.vanwieringen at vumc.nl>
Citation (from within R,
enter citation("sigaR")
):
To install this package, start R and enter:
## try http if https is not available source("https://bioconductor.org/biocLite.R") biocLite("sigaR")
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("sigaR")
R Script | sigaR | |
Reference Manual |
biocViews | DifferentialExpression, GeneExpression, Microarray, Pathways, Software, aCGH |
Version | 1.12.0 |
In Bioconductor since | BioC 2.10 (R-2.15) (3.5 years) |
License | GPL (>= 2) |
Depends | Biobase, CGHbase, methods, mvtnorm, penalized |
Imports | corpcor (>= 1.6.2), graphics, igraph, marray, MASS, mvtnorm, quadprog, penalized (>= 0.9-39), snowfall, stats |
LinkingTo | |
Suggests | |
SystemRequirements | |
Enhances | |
URL | http://www.few.vu.nl/~wvanwie |
Depends On Me | HCsnip |
Imports Me | |
Suggests Me | |
Build Report |
Follow Installation instructions to use this package in your R session.
Package Source | sigaR_1.12.0.tar.gz |
Windows Binary | sigaR_1.12.0.zip |
Mac OS X 10.6 (Snow Leopard) | sigaR_1.12.0.tgz |
Mac OS X 10.9 (Mavericks) | sigaR_1.12.0.tgz |
Subversion source | (username/password: readonly) |
Git source | https://github.com/Bioconductor-mirror/sigaR/tree/release-3.1 |
Package Short Url | http://bioconductor.org/packages/sigaR/ |
Package Downloads Report | Download Stats |
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