GSVAdata

This is the released version of GSVAdata; for the devel version, see GSVAdata.

All versions

3.24 (devel), 3.23 (release), 3.22, 3.21, 3.20, 3.19, 3.18, 3.17, 3.16, 3.15, 3.14, 3.13, 3.12, 3.11, 3.10, 3.9, 3.8, 3.7, 3.6, 3.5, 3.4, 3.3, 3.2, 3.1, 3.0, 2.14, 2.13, 2.12, 2.11, 2.10, 2.9, 2.8

Data employed in the vignette of the GSVA package

Bioconductor version: Release (3.23)

This package stores the data employed in the vignette of the GSVA package. These data belong to the following publications: 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; Costa et al. FEBS J, 288:2311-2331, 2021.

Author: Robert Castelo <robert.castelo at upf.edu>

Maintainer: Robert Castelo <robert.castelo at upf.edu>

Citation (from within R, enter citation("GSVAdata")):

Robert Castelo. GSVAdata: Data employed in the vignette of the GSVA package. doi:10.18129/B9.bioc.GSVAdata, R package version 1.48.1, https://bioconductor.org/packages/GSVAdata.

Generated from the package metadata; it may differ from the package's own citation.

Installation

To install this package, start R (version "4.6") and enter:

if (!require("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

BiocManager::install("GSVAdata")

For older versions of R, please refer to the appropriate Bioconductor release.

Documentation

No vignettes available
Reference Manual	PDF

Need some help? Ask on the Bioconductor Support site!

Details

biocViews	CancerData, ExperimentData, ExpressionData, Homo_sapiens_Data, SequencingData, Tissue
Version	1.48.1
In Bioconductor since	BioC 2.8 (R-2.13) (15.5 years)
License	Artistic-2.0
Depends	R (>= 4.0), Biobase, GSEABase, SummarizedExperiment
Imports	methods, utils, Matrix, SpatialExperiment
System Requirements
URL

Suggests
Linking To
Enhances
Depends On Me
Imports Me	singleCellTK
Suggests Me	GSAR, GSVA
Links To Me
Build Report	Build Report, r-universe

Package Archives

Follow Installation instructions to use this package in your R session.

Source Package	GSVAdata_1.48.1.tar.gz
Windows Binary (x86_64)
macOS Binary (big-sur-x86_64)
macOS Binary (sonoma-arm64)
Source Repository	git clone https://git.bioconductor.org/packages/GSVAdata
Source Repository (Developer Access)	git clone git@git.bioconductor.org:packages/GSVAdata
Package Short Url	https://bioconductor.org/packages/GSVAdata/
Package Downloads Report	Download Stats