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GSEAlens

This is the development version of GSEAlens; to use it, please install the devel version of Bioconductor.

Gene Set Enrichment Analysis Interactive Explorer


Bioconductor version: Development (3.24)

GSEAlens provides an interactive exploration layer on top of standard Bioconductor RNA-seq workflows. It consumes fitted model objects from limma (MArrayLM) or DESeq2 (DESeqDataSet) as input and accepts expression matrices and sample metadata as SummarizedExperiment objects, ensuring interoperability with core Bioconductor data containers. For core computation, GSEAlens wraps clusterProfiler::GSEA() as its statistical engine (thereby inheriting the fgsea fast GSEA methodology) and draws on MSigDB gene set collections via the msigdbr package from CRAN; multi-contrast parallel computation is handled by future (future::multisession). Visualization output relies on Bioconductor graphics packages including enrichplot, ComplexHeatmap, and circlize, producing figures suitable for publication pipelines. The package also includes a built-in Shiny application for interactive exploration of enrichment results after DEG analysis, with the ability to export self-contained reproducible R scripts.

Author: Shenhui Xu [aut, cre] ORCID iD ORCID: 0000-0002-2616-5132 , Yuanhang Zhao [ctb], Mireia Ramos-Rodríguez [rev] (URL: https://github.com/mireia-bioinfo)

Maintainer: Shenhui Xu <sealgod at qq.com>

Citation (from within R, enter citation("GSEAlens")):

Shenhui Xu. GSEAlens: Gene Set Enrichment Analysis Interactive Explorer. doi:10.18129/B9.bioc.GSEAlens, R package version 0.99.35, https://bioconductor.org/packages/GSEAlens.

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")

## The following initializes the development version of Bioconductor
BiocManager::install(version = "devel")

BiocManager::install("GSEAlens")

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("GSEAlens")
GSEAlens:准备输入数据 HTML R Script
GSEAlens: Preparing Input Data HTML R Script
GSEAlens(中文版):基因集富集分析的交互式探索平台 HTML R Script
GSEAlens: An Interactive Exploration Platform for Gene Set Enrichment Analysis HTML R Script
Reference ManualPDF
NEWSText
LICENSEText

Details

biocViews GeneSetEnrichment, ShinyApps, Software, Visualization
Version0.99.35
In Bioconductor sinceBioC 3.24 (R-4.6)
License MIT + file LICENSE
Depends R (>= 4.5.0)
Imports stats, utils, enrichplot, enrichit, grDevices, graphics, methods, shiny, shinycssloaders, DT, plotly, ggplot2, rlang, igraph, dplyr, tidyr, tibble, stringr, patchwork, ComplexHeatmap, circlize, grid, clusterProfiler, limma, edgeR, DESeq2, SummarizedExperiment, S4Vectors, msigdbr, future, future.apply, htmltools, htmlwidgets, jsonlite, clipr, progressr, visNetwork, shinyjs, withr
System Requirements
URLhttps://github.com/DDL095/GSEAlens
Bug Reportshttps://github.com/DDL095/GSEAlens/issues
See More
Suggests testthat (>= 3.0.0), BiocStyle, knitr, rmarkdown, airway, ggrepel
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Build Report Build Report, r-universe

Package Archives

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

Source Package GSEAlens_0.99.35.tar.gz
Windows Binary (x86_64) GSEAlens_0.99.35.zip
macOS Binary (big-sur-x86_64) GSEAlens_0.99.35.tgz
macOS Binary (sonoma-arm64) GSEAlens_0.99.35.tgz
Source Repositorygit clone https://git.bioconductor.org/packages/GSEAlens
Source Repository (Developer Access)git clone git@git.bioconductor.org:packages/GSEAlens
Package Short Url https://bioconductor.org/packages/GSEAlens/
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