GSEABenchmarkeR

DOI: 10.18129/B9.bioc.GSEABenchmarkeR    

This package is for version 3.11 of Bioconductor; for the stable, up-to-date release version, see GSEABenchmarkeR.

Reproducible GSEA Benchmarking

Bioconductor version: 3.11

The GSEABenchmarkeR package implements an extendable framework for reproducible evaluation of set- and network-based methods for enrichment analysis of gene expression data. This includes support for the efficient execution of these methods on comprehensive real data compendia (microarray and RNA-seq) using parallel computation on standard workstations and institutional computer grids. Methods can then be assessed with respect to runtime, statistical significance, and relevance of the results for the phenotypes investigated.

Author: Ludwig Geistlinger [aut, cre], Gergely Csaba [aut], Mara Santarelli [ctb], Lucas Schiffer [ctb], Marcel Ramos [ctb], Ralf Zimmer [aut], Levi Waldron [aut]

Maintainer: Ludwig Geistlinger <Ludwig.Geistlinger at sph.cuny.edu>

Installation

To install this package, start R (version "4.0") and enter:

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

BiocManager::install("GSEABenchmarkeR")

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

Documentation

To view documentation for the version of this package installed in your system, start R and enter:

browseVignettes("GSEABenchmarkeR")

 

HTML	R Script	Reproducible GSEA Benchmarking
PDF		Reference Manual
Text		NEWS

Details

biocViews	DifferentialExpression, GeneExpression, GeneSetEnrichment, GraphAndNetwork, ImmunoOncology, Microarray, Network, NetworkEnrichment, Pathways, RNASeq, ReportWriting, Software, Visualization
Version	1.8.0
In Bioconductor since	BioC 3.7 (R-3.5) (2.5 years)
License	Artistic-2.0
Depends	Biobase, SummarizedExperiment
Imports	AnnotationDbi, AnnotationHub, BiocFileCache, BiocParallel, edgeR, EnrichmentBrowser, ExperimentHub, grDevices, graphics, KEGGandMetacoreDzPathwaysGEO, KEGGdzPathwaysGEO, methods, rappdirs, S4Vectors, stats, utils
LinkingTo
Suggests	BiocStyle, knitr, rmarkdown
SystemRequirements
Enhances
URL	https://github.com/waldronlab/GSEABenchmarkeR
BugReports	https://github.com/waldronlab/GSEABenchmarkeR/issues
Depends On Me
Imports Me
Suggests Me
Links To Me
Build Report

Package Archives

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

Source Package	GSEABenchmarkeR_1.8.0.tar.gz
Windows Binary	GSEABenchmarkeR_1.8.0.zip
macOS 10.13 (High Sierra)	GSEABenchmarkeR_1.8.0.tgz
Source Repository	git clone https://git.bioconductor.org/packages/GSEABenchmarkeR
Source Repository (Developer Access)	git clone git@git.bioconductor.org:packages/GSEABenchmarkeR
Package Short Url	https://bioconductor.org/packages/GSEABenchmarkeR/
Package Downloads Report	Download Stats