EGSEA

Ensemble of Gene Set Enrichment Analyses


Bioconductor version: Release (3.20)

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")):

Installation

To install this package, start R (version "4.4") 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.

Documentation

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

browseVignettes("EGSEA")
EGSEA vignette PDF R Script
Reference Manual PDF
NEWS Text

Details

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
Version 1.34.0
In Bioconductor since BioC 3.3 (R-3.3) (8.5 years)
License GPL-3
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
System Requirements
URL
See More
Suggests BiocStyle, knitr, testthat
Linking To
Enhances
Depends On Me EGSEA123
Imports Me
Suggests Me tidybulk, EGSEAdata
Links To Me
Build Report Build Report

Package Archives

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

Source Package EGSEA_1.34.0.tar.gz
Windows Binary (x86_64) EGSEA_1.34.0.zip
macOS Binary (x86_64) EGSEA_1.34.0.tgz
macOS Binary (arm64) EGSEA_1.33.0.tgz
Source Repository git clone https://git.bioconductor.org/packages/EGSEA
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/EGSEA
Bioc Package Browser https://code.bioconductor.org/browse/EGSEA/
Package Short Url https://bioconductor.org/packages/EGSEA/
Package Downloads Report Download Stats