GSVAdata

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

Data employed in the vignette of the GSVA package

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DOI: 10.18129/B9.bioc.GSVAdata

Bioconductor version: Release (3.22)

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; 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 "4.5") 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

Reference Manual PDF

Need some help? Ask on the Bioconductor Support site!

Details

biocViews CancerData, ExperimentData, Homo_sapiens_Data, LeukemiaCancerData, RNASeqData

Version 1.46.0

License Artistic-2.0

Depends R (>= 3.5), Biobase, GSEABase, hgu95a.db, 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_1.46.0.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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