GSVAdata

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

Data employed in the vignette of the GSVA package


Bioconductor version: Development (3.21)

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")

# 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

Details

biocViews CancerData, ExperimentData, Homo_sapiens_Data, LeukemiaCancerData, RNASeqData
Version 1.43.0
License Artistic-2.0
Depends R (>= 3.5), Biobase, GSEABase, hgu95a.db, SummarizedExperiment
Imports
System Requirements
URL
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Suggests
Linking To
Enhances
Depends On Me
Imports Me singleCellTK, RVA
Suggests Me GSAR, GSVA
Links To Me
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Package Archives

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

Source Package GSVAdata_1.43.0.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 [email protected]:packages/GSVAdata
Package Short Url https://bioconductor.org/packages/GSVAdata/
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