EGSEA
This is the released version of EGSEA; for the devel version, see EGSEA.
All Bioconductor versions of EGSEA
3.24 (devel), 3.23 (release), 3.22, 3.21, 3.20, 3.19, 3.18, 3.17, 3.16, 3.15, 3.14, 3.13, 3.12, 3.11, 3.10, 3.9, 3.8, 3.7, 3.6, 3.5, 3.4, 3.3
Ensemble of Gene Set Enrichment Analyses
Bioconductor version: 3.23 · Package version: 1.40.0
This package implements the Ensemble of Gene Set Enrichment Analyses (EGSEA) method for gene set testing. EGSEA algorithm utilizes the analysis results of twelve prominent GSE algorithms in the literature to calculate collective significance scores for each gene set.
Author: Monther Alhamdoosh [aut, cre], Luyi Tian [aut], Milica Ng [aut], Matthew Ritchie [ctb]
Maintainer: Monther Alhamdoosh <m.hamdoosh at gmail.com>
Citation
From within R, enter citation("EGSEA"):
Monther Alhamdoosh, Luyi Tian, Milica Ng. EGSEA: Ensemble of Gene Set Enrichment Analyses. doi:10.18129/B9.bioc.EGSEA, R package version 1.40.0, https://bioconductor.org/packages/EGSEA.
Generated from the package metadata; it may differ from the package's own citation.
Installation
To install this package, start R (version "4.6") and enter:
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install("EGSEA")For older versions of R, please refer to the appropriate Bioconductor release.
Details
| Version | 1.40.0 |
| License | GPL-3 |
| Last updated | 2026-04-28 |
| In Bioconductor since | BioC 3.3 (R-3.3) (10 years) |
| Downloads rank | 495 of 2,418 |
| Source branch | RELEASE_3_23 |
| Build report | Bioconductor build system, r-universe |
| biocViews | Classification, DifferentialExpression, GO, GeneExpression, GeneSetEnrichment, GeneSignaling, GeneTarget, Genetics, GraphAndNetwork, ImmunoOncology, KEGG, Metabolomics, Microarray, MultipleComparison, Network, NetworkEnrichment, OneChannel, Pathways, Proteomics, RNASeq, Sequencing, Software, SystemsBiology, TwoChannel |
| Package Short Url | https://bioconductor.org/packages/EGSEA/ |
Documentation
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("EGSEA")| EGSEA vignette | R Script | |
| Reference Manual | ||
| NEWS | Text |
Download
Follow the installation instructions to use this package in your R session.
| Source package | EGSEA_1.40.0.tar.gz |
| Windows binary (x86_64) | EGSEA_1.40.0.zip |
| macOS binary (arm64) | EGSEA_1.40.0.tgz |
| macOS binary (x86_64) | EGSEA_1.40.0.tgz |
| Source Repository | git clone https://git.bioconductor.org/packages/EGSEA |
| Source Repository (Developer Access) | git clone git@git.bioconductor.org:packages/EGSEA |
| Package Downloads Report | Download Stats |
Dependencies
Depends: R (>= 4.3.0), Biobase, gage (>= 2.14.4), AnnotationDbi, topGO (>= 2.16.0), pathview (>= 1.4.2)
Imports: PADOG (>= 1.6.0), GSVA (>= 1.12.0), globaltest (>= 5.18.0), limma (>= 3.20.9), edgeR (>= 3.6.8), HTMLUtils (>= 0.1.5), hwriter (>= 1.2.2), gplots (>= 2.14.2), ggplot2 (>= 1.0.0), safe (>= 3.4.0), stringi (>= 0.5.0), parallel, stats, metap, grDevices, graphics, utils, org.Hs.eg.db, org.Mm.eg.db, org.Rn.eg.db, RColorBrewer, methods, EGSEAdata (>= 1.3.1), htmlwidgets, plotly, DT