Package: ReactomeGSA 1.21.2
Johannes Griss
ReactomeGSA: Client for the Reactome Analysis Service for comparative multi-omics gene set analysis
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.
Authors:
ReactomeGSA_1.21.2.tar.gz
ReactomeGSA_1.21.2.zip(r-4.5)ReactomeGSA_1.21.2.zip(r-4.4)ReactomeGSA_1.21.2.zip(r-4.3)
ReactomeGSA_1.21.2.tgz(r-4.4-any)ReactomeGSA_1.21.2.tgz(r-4.3-any)
ReactomeGSA_1.21.2.tar.gz(r-4.5-noble)ReactomeGSA_1.21.2.tar.gz(r-4.4-noble)
ReactomeGSA_1.21.2.tgz(r-4.4-emscripten)ReactomeGSA_1.21.2.tgz(r-4.3-emscripten)
ReactomeGSA.pdf |ReactomeGSA.html✨
ReactomeGSA/json (API)
NEWS
# Install 'ReactomeGSA' in R: |
install.packages('ReactomeGSA', repos = c('https://bioc.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/reactome/reactomegsa/issues
On BioConductor:ReactomeGSA-1.21.0(bioc 3.21)ReactomeGSA-1.20.0(bioc 3.20)
genesetenrichmentproteomicstranscriptomicssystemsbiologygeneexpressionreactome
Last updated 25 days agofrom:1612e124f6. Checks:OK: 1 NOTE: 6. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Nov 28 2024 |
R-4.5-win | NOTE | Nov 28 2024 |
R-4.5-linux | NOTE | Nov 28 2024 |
R-4.4-win | NOTE | Nov 28 2024 |
R-4.4-mac | NOTE | Nov 28 2024 |
R-4.3-win | NOTE | Nov 28 2024 |
R-4.3-mac | NOTE | Nov 28 2024 |
Exports:add_datasetanalyse_sc_clustersfind_public_datasetsgenerate_metadatagenerate_pseudo_bulk_dataget_public_speciesget_reactome_analysis_resultget_reactome_analysis_statusget_reactome_data_typesget_reactome_methodsget_resultload_public_datasetopen_reactomepathwaysperform_reactome_analysisplot_correlationsplot_gsva_heatmapplot_gsva_pathwayplot_gsva_pcaplot_heatmapplot_volcanoprintreactome_linksReactomeAnalysisRequestReactomeAnalysisResultremove_datasetresult_typesset_methodset_parametersshowstart_reactome_analysis
Dependencies:abindaskpassassortheadbeachmatBHBiobaseBiocGenericsBiocParallelBiocSingularbitopscaToolsclicodetoolscolorspacecpp11crayoncurlDelayedArraydplyrfansifarverformatRfutile.loggerfutile.optionsgenericsGenomeInfoDbGenomeInfoDbDataGenomicRangesggplot2gluegplotsgtablegtoolshmshttrigraphIRangesirlbaisobandjsonliteKernSmoothlabelinglambda.rlatticelifecyclemagrittrMASSMatrixMatrixGenericsmatrixStatsmgcvmimemunsellnlmeopensslpillarpkgconfigprettyunitsprogresspurrrR6RColorBrewerRcpprlangrsvdS4ArraysS4VectorsScaledMatrixscalessnowSparseArraystringistringrSummarizedExperimentsystibbletidyrtidyselectUCSC.utilsutf8vctrsviridisLitewithrXVectorzlibbioc
Analysing single-cell RNA-sequencing Data
Rendered fromanalysing-scRNAseq.Rmd
usingknitr::rmarkdown
on Nov 28 2024.Last update: 2024-11-07
Started: 2020-04-11
Loading and re-analysing public data through ReactomeGSA
Rendered fromreanalysing-public-data.Rmd
usingknitr::rmarkdown
on Nov 28 2024.Last update: 2024-02-01
Started: 2023-11-28
Using the ReactomeGSA package
Rendered fromusing-reactomegsa.Rmd
usingknitr::rmarkdown
on Nov 28 2024.Last update: 2023-11-12
Started: 2019-07-01