GSVAdata

This is the development version of GSVAdata; for the stable release version, see GSVAdata.

Data employed in the vignette of the GSVA package

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DOI: 10.18129/B9.bioc.GSVAdata

Bioconductor version: Development (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")):

Installation

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


if (!require("BiocManager", quietly = TRUE))
 install.packages("BiocManager")
# The following initializes usage of Bioc devel
BiocManager::install(version='devel')
BiocManager::install("GSVAdata")

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

Documentation

Reference Manual PDF

Need some help? Ask on the Bioconductor Support site!

Details

biocViews CancerData, ExperimentData, ExpressionData, Homo_sapiens_Data, SequencingData, Tissue

Version 1.47.1

License Artistic-2.0

Depends R (>= 3.5), Biobase, GSEABase, SummarizedExperiment

Imports

System Requirements

URL

Suggests

Linking To

Enhances

Depends On Me

Imports Me singleCellTK

Suggests Me GSAR, GSVA

Links To Me

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

Source Package GSVAdata_1.47.1.tar.gz

Windows Binary (x86_64)

macOS Binary (x86_64)

macOS Binary (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/

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