To install this package, start R and enter:
## try http:// if https:// URLs are not supported source("https://bioconductor.org/biocLite.R") biocLite("GSVAdata")
In most cases, you don't need to download the package archive at all.
This package is for version 3.1 of Bioconductor; for the stable, up-to-date release version, see GSVAdata.
Bioconductor version: 3.1
This package stores the data employed in the vignette of the GSVA package. These data belong to the following publications: Armstrong et al. Nat Genet 30:41-47, 2002; Cahoy et al. J Neurosci 28:264-278, 2008; Carrel and Willard, Nature, 434:400-404, 2005; Huang et al. PNAS, 104:9758-9763, 2007; Pickrell et al. Nature, 464:768-722, 2010; Skaletsky et al. Nature, 423:825-837; Verhaak et al. Cancer Cell 17:98-110, 2010
Author: Robert Castelo <robert.castelo at upf.edu>
Maintainer: Robert Castelo <robert.castelo at upf.edu>
Citation (from within R,
enter citation("GSVAdata")
):
To install this package, start R and enter:
## try http:// if https:// URLs are not supported source("https://bioconductor.org/biocLite.R") biocLite("GSVAdata")
Reference Manual |
biocViews | CancerData, ExperimentData, Homo_sapiens_Data, LeukemiaCancerData, RNASeqData |
Version | 1.4.0 |
License | GPL (>= 2) |
Depends | R (>= 2.10), Biobase, GSEABase, hgu95a.db |
Imports | |
LinkingTo | |
Suggests | |
SystemRequirements | |
Enhances | |
URL | |
Depends On Me | |
Imports Me | |
Suggests Me | GSAR, GSVA |
Build Report |
Follow Installation instructions to use this package in your R session.
Package Source | GSVAdata_1.4.0.tar.gz |
Windows Binary | |
Mac OS X 10.6 (Snow Leopard) | |
Mac OS X 10.9 (Mavericks) | |
Subversion source | (username/password: readonly) |
Package Short Url | http://bioconductor.org/packages/GSVAdata/ |
Package Downloads Report | Download Stats |
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