This is the development version of fenr; for the stable release version, see fenr.
Fast functional enrichment for interactive applicationsBioconductor version: Development (3.22)
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.
Author: Marek Gierlinski [aut, cre] ORCID: 0000-0001-9149-3514
Maintainer: Marek Gierlinski <M.Gierlinski at dundee.ac.uk>
Citation (from within R, entercitation("fenr")
): Installation
To install this package, start R (version "4.5") and enter:
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
# The following initializes usage of Bioc devel
BiocManager::install(version='devel')
BiocManager::install("fenr")
For older versions of R, please refer to the appropriate Bioconductor release.
DocumentationTo view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("fenr")
Details biocViews DifferentialExpression, FunctionalPrediction, GO, GeneSetEnrichment, KEGG, Proteomics, Reactome, Software Version 1.7.1 In Bioconductor since BioC 3.18 (R-4.3) (1.5 years) License MIT + file LICENSE Depends R (>= 4.1.0) Imports tools, methods, assertthat, rlang, dplyr, tidyr, tidyselect, tibble, purrr, readr, stringr, httr2, rvest, progress, BiocFileCache, shiny, ggplot2 System Requirements URL https://github.com/bartongroup/fenr Bug Reports https://github.com/bartongroup/fenr/issues See More Package Archives
Follow Installation instructions to use this package in your R session.
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