DOI: 10.18129/B9.bioc.GSEABenchmarkeR  

This package is for version 3.16 of Bioconductor; for the stable, up-to-date release version, see GSEABenchmarkeR.

Reproducible GSEA Benchmarking

Bioconductor version: 3.16

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>

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biocViews DifferentialExpression, GeneExpression, GeneSetEnrichment, GraphAndNetwork, ImmunoOncology, Microarray, Network, NetworkEnrichment, Pathways, RNASeq, ReportWriting, Software, Visualization
Version 1.18.0
In Bioconductor since BioC 3.7 (R-3.5) (5 years)
License Artistic-2.0
Depends R (>= 3.5.0), Biobase, SummarizedExperiment
Imports AnnotationDbi, AnnotationHub, BiocFileCache, BiocParallel, edgeR, EnrichmentBrowser, ExperimentHub, grDevices, graphics, KEGGandMetacoreDzPathwaysGEO, KEGGdzPathwaysGEO, methods, S4Vectors, stats, utils
Suggests BiocStyle, GSE62944, knitr, rappdirs, rmarkdown
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