Package: fenr 1.10.0

Marek Gierlinski

fenr: Fast functional enrichment for interactive applications

Perform fast functional enrichment on feature lists (like genes or proteins) using the hypergeometric distribution. Tailored for speed, this package is ideal for interactive platforms such as Shiny. It supports the retrieval of functional data from sources like GO, KEGG, Reactome, Bioplanet and WikiPathways. By downloading and preparing data first, it allows for rapid successive tests on various feature selections without the need for repetitive, time-consuming preparatory steps typical of other packages.

Authors:Marek Gierlinski [aut, cre]

fenr_1.10.0.tar.gz
fenr_1.10.0.zip(r-4.7)fenr_1.10.0.zip(r-4.6)fenr_1.10.0.zip(r-4.5)
fenr_1.10.0.tgz(r-4.6-any)fenr_1.10.0.tgz(r-4.5-any)
fenr_1.10.0.tar.gz(r-4.7-any)fenr_1.10.0.tar.gz(r-4.6-any)
fenr_1.10.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
fenr/json (API)
NEWS

# Install 'fenr' in R:
install.packages('fenr', repos = c('https://bioc-release.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/bartongroup/fenr/issues

Datasets:
  • exmpl_all - Example set of background genes.
  • exmpl_sel - Example set of selected genes.
  • go - GO-terms data downloaded for the vignette.
  • go_species - GO species
  • yeast_de - Differential expression results for yeast RNA-seq.

On BioConductor:fenr-1.11.0(bioc 3.24)fenr-1.10.0(bioc 3.23)

functionalpredictiondifferentialexpressiongenesetenrichmentgokeggreactomeproteomics

4.95 score 1 packages 10 scripts 339 downloads 16 exports 78 dependencies

Last updated from:52a39bdff6 (on RELEASE_3_23). Checks:1 ERROR, 9 OK. Indexed: no.

TargetResultTimeFilesSyslog
bioc-checksERROR168
linux-devel-x86_64OK302
source / vignettesOK237
linux-release-x86_64OK332
macos-release-arm64OK215
macos-oldrel-arm64OK319
windows-develOK228
windows-releaseOK239
windows-oldrelOK248
wasm-releaseOK141

Exports:enrichment_interactivefetch_bpfetch_gofetch_go_speciesfetch_keggfetch_kegg_speciesfetch_reactomefetch_reactome_speciesfetch_terms_for_examplefetch_wikifetch_wiki_speciesfunctional_enrichmentget_feature_termsget_term_featuresprepare_for_enrichmentremove_cache

Dependencies:askpassassertthatbase64encBiocFileCachebitbit64blobbslibcachemclicliprcommonmarkcpp11crayoncurlDBIdbplyrdigestdplyrfarverfastmapfilelockfontawesomefsgenericsggplot2gluegtablehmshtmltoolshttpuvhttrhttr2isobandjquerylibjsonlitelabelinglaterlifecyclemagrittrmemoisemimeopensslotelpillarpkgconfigprettyunitsprogresspromisespurrrR6rappdirsRColorBrewerRcppreadrrlangRSQLitervestS7sassscalesselectrshinysourcetoolsstringistringrsystibbletidyrtidyselecttzdbutf8vctrsviridisLitevroomwithrxml2xtable

Fast functional enrichment

Marek Gierlinski

Rendered fromfenr.Rmdusingknitr::rmarkdownon May 29 2026.

Last update: 2025-02-20
Started: 2022-08-22