Package: fenr 1.5.2

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_1.5.2.tar.gz
fenr_1.5.2.zip(r-4.5)fenr_1.5.2.zip(r-4.4)fenr_1.5.2.zip(r-4.3)
fenr_1.5.2.tgz(r-4.5-any)fenr_1.5.2.tgz(r-4.4-any)fenr_1.5.2.tgz(r-4.3-any)
fenr_1.5.2.tar.gz(r-4.5-noble)fenr_1.5.2.tar.gz(r-4.4-noble)
fenr_1.5.2.tgz(r-4.4-emscripten)fenr_1.5.2.tgz(r-4.3-emscripten)
fenr.pdf |fenr.html✨
fenr/json (API)
NEWS

# Install 'fenr' in R:
install.packages('fenr', repos = c('https://bioc.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-1.5.2(bioc 3.21)fenr-1.4.2(bioc 3.20)

functionalpredictiondifferentialexpressiongenesetenrichmentgokeggreactomeproteomics

4.60 score 4 scripts 198 downloads 16 exports 85 dependencies

Last updated 1 months agofrom:e0fb64240c. Checks:2 OK, 7 ERROR. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKMar 23 2025
R-4.5-winERRORMar 23 2025
R-4.5-macERRORMar 23 2025
R-4.5-linuxERRORMar 23 2025
R-4.4-winERRORMar 23 2025
R-4.4-macERRORMar 23 2025
R-4.4-linuxOKMar 23 2025
R-4.3-winERRORMar 23 2025
R-4.3-macERRORMar 23 2025

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:askpassassertthatbase64encBiocFileCachebitbit64blobbslibcachemclicliprcolorspacecommonmarkcpp11crayoncurlDBIdbplyrdigestdplyrfansifarverfastmapfilelockfontawesomefsgenericsggplot2gluegtablehmshtmltoolshttpuvhttrhttr2isobandjquerylibjsonlitelabelinglaterlatticelifecyclemagrittrMASSMatrixmemoisemgcvmimemunsellnlmeopensslpillarpkgconfigplogrprettyunitsprogresspromisespurrrR6rappdirsRColorBrewerRcppreadrrlangRSQLitervestsassscalesselectrshinysourcetoolsstringistringrsystibbletidyrtidyselecttzdbutf8vctrsviridisLitevroomwithrxml2xtable

Fast functional enrichment

Marek Gierlinski

Rendered fromfenr.Rmdusingknitr::rmarkdownon Mar 23 2025.

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