_            _    _        _         _
      /\ \         /\ \ /\ \     /\_\      / /\
      \_\ \       /  \ \\ \ \   / / /     / /  \
      /\__ \     / /\ \ \\ \ \_/ / /     / / /\ \__
     / /_ \ \   / / /\ \ \\ \___/ /     / / /\ \___\
    / / /\ \ \ / / /  \ \_\\ \ \_/      \ \ \ \/___/
   / / /  \/_// / /   / / / \ \ \        \ \ \
  / / /      / / /   / / /   \ \ \   _    \ \ \
 / / /      / / /___/ / /     \ \ \ /_/\__/ / /
/_/ /      / / /____\/ /       \ \_\\ \/___/ /
\_\/       \/_________/         \/_/ \_____\/
r-reactomegsa 1.24.1
Propagated dependencies: r-tidyr@1.3.1 r-summarizedexperiment@1.40.0 r-rcolorbrewer@1.1-3 r-progress@1.2.3 r-jsonlite@2.0.0 r-igraph@2.2.1 r-httr@1.4.7 r-gplots@3.2.0 r-ggplot2@4.0.1 r-dplyr@1.1.4 r-biocsingular@1.26.1 r-biobase@2.70.0
Channel: guix-bioc
Location: guix-bioc/packages/r.scm (guix-bioc packages r)
Home page: https://github.com/reactome/ReactomeGSA
Licenses: Expat
Build system: r
Synopsis: Client for the Reactome Analysis Service for comparative multi-omics gene set analysis
Description:

The ReactomeGSA packages uses Reactome's online analysis service to perform a multi-omics gene set analysis. The main advantage of this package is, that the retrieved results can be visualized using REACTOME's powerful webapplication. Since Reactome's analysis service also uses R to perfrom the actual gene set analysis you will get similar results when using the same packages (such as limma and edgeR) locally. Therefore, if you only require a gene set analysis, different packages are more suited.

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