Package: GSEAlens Type: Package Title: Gene Set Enrichment Analysis Interactive Explorer Version: 0.99.35 Authors@R: c(person(given = "Shenhui", family = "Xu", role = c("aut", "cre"), email = "sealgod@qq.com", comment = c(ORCID = "0000-0002-2616-5132")), person(given = "Yuanhang", family = "Zhao", role = "ctb", email = "zy0928hang@163.com"), person(given = "Mireia", family = "Ramos-Rodríguez", role = "rev", comment = c(URL = "https://github.com/mireia-bioinfo"))) Description: 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. License: MIT + file LICENSE URL: https://github.com/DDL095/GSEAlens BugReports: https://github.com/DDL095/GSEAlens/issues Encoding: UTF-8 RoxygenNote: 8.0.0 biocViews: GeneSetEnrichment, Visualization, ShinyApps, Software 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 Suggests: testthat (>= 3.0.0), BiocStyle, knitr, rmarkdown, airway, ggrepel Depends: R (>= 4.5.0) VignetteBuilder: knitr Config/pak/sysreqs: libcairo2-dev cmake libfontconfig1-dev libfreetype6-dev libglpk-dev make libicu-dev libpng-dev libuv1-dev libxml2-dev libssl-dev perl libx11-dev zlib1g-dev Repository: https://bioc.r-universe.dev Date/Publication: 2026-08-19 04:12:16 UTC RemoteUrl: https://github.com/bioc/GSEAlens RemoteRef: HEAD RemoteSha: d1807abe23fdacd7d9ebaf212e545abf0b471fd3 NeedsCompilation: no Packaged: 2026-09-18 08:50:57 UTC; root Author: Shenhui Xu [aut, cre] (ORCID: ), Yuanhang Zhao [ctb], Mireia Ramos-Rodríguez [rev] (URL: https://github.com/mireia-bioinfo) Maintainer: Shenhui Xu