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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.
GSVAdata
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Data employed in the vignette of the GSVA package
Bioconductor version: Release (3.5)
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")):
Installation
To install this package, start R and enter:
## try http:// if https:// URLs are not supported
source("https://bioconductor.org/biocLite.R")
biocLite("GSVAdata")
Documentation
| Reference Manual |
Details
| biocViews | CancerData, ExperimentData, Homo_sapiens_Data, LeukemiaCancerData, RNASeqData |
| Version | 1.12.0 |
| 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 |
Package Archives
Follow Installation instructions to use this package in your R session.
| Source Package | GSVAdata_1.12.0.tar.gz |
| Windows Binary | |
| Mac OS X 10.11 (El Capitan) | |
| Source Repository | git clone https://git.bioconductor.org/packages/GSVAdata |
| Package Short Url | http://bioconductor.org/packages/GSVAdata/ |
| Package Downloads Report | Download Stats |
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