_            _    _        _         _
      /\ \         /\ \ /\ \     /\_\      / /\
      \_\ \       /  \ \\ \ \   / / /     / /  \
      /\__ \     / /\ \ \\ \ \_/ / /     / / /\ \__
     / /_ \ \   / / /\ \ \\ \___/ /     / / /\ \___\
    / / /\ \ \ / / /  \ \_\\ \ \_/      \ \ \ \/___/
   / / /  \/_// / /   / / / \ \ \        \ \ \
  / / /      / / /   / / /   \ \ \   _    \ \ \
 / / /      / / /___/ / /     \ \ \ /_/\__/ / /
/_/ /      / / /____\/ /       \ \_\\ \/___/ /
\_\/       \/_________/         \/_/ \_____\/
r-enrichmentbrowser 2.36.0
Propagated dependencies: r-summarizedexperiment@1.36.0 r-spia@2.58.0 r-safe@3.46.0 r-s4vectors@0.44.0 r-rgraphviz@2.50.0 r-pathview@1.46.0 r-limma@3.62.1 r-keggrest@1.46.0 r-kegggraph@1.66.0 r-hwriter@1.3.2.1 r-gseabase@1.68.0 r-graphite@1.52.0 r-graph@1.84.0 r-go-db@3.20.0 r-edger@4.4.0 r-biocmanager@1.30.25 r-biocfilecache@2.14.0 r-annotationdbi@1.68.0
Channel: guix-bioc
Location: guix-bioc/packages/e.scm (guix-bioc packages e)
Home page: https://bioconductor.org/packages/EnrichmentBrowser
Licenses: Artistic License 2.0
Synopsis: Seamless navigation through combined results of set-based and network-based enrichment analysis
Description:

The EnrichmentBrowser package implements essential functionality for the enrichment analysis of gene expression data. The analysis combines the advantages of set-based and network-based enrichment analysis in order to derive high-confidence gene sets and biological pathways that are differentially regulated in the expression data under investigation. Besides, the package facilitates the visualization and exploration of such sets and pathways.

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