Package: gsean 1.33.0

Dongmin Jung

gsean: Gene Set Enrichment Analysis with Networks

Biological molecules in a living organism seldom work individually. They usually interact each other in a cooperative way. Biological process is too complicated to understand without considering such interactions. Thus, network-based procedures can be seen as powerful methods for studying complex process. However, many methods are devised for analyzing individual genes. It is said that techniques based on biological networks such as gene co-expression are more precise ways to represent information than those using lists of genes only. This package is aimed to integrate the gene expression and biological network. A biological network is constructed from gene expression data and it is used for Gene Set Enrichment Analysis.

Authors:Dongmin Jung

gsean_1.33.0.tar.gz
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gsean_1.33.0.tgz(r-4.6-x86_64)gsean_1.33.0.tgz(r-4.6-arm64)gsean_1.33.0.tgz(r-4.5-x86_64)gsean_1.33.0.tgz(r-4.5-arm64)
gsean_1.33.0.tar.gz(r-4.7-arm64)gsean_1.33.0.tar.gz(r-4.7-x86_64)gsean_1.33.0.tar.gz(r-4.6-arm64)gsean_1.33.0.tar.gz(r-4.6-x86_64)
gsean_1.33.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html
card.svg |card.png
gsean/json (API)
NEWS

# Install 'gsean' in R:
install.packages('gsean', repos = c('https://bioc.r-universe.dev', 'https://cloud.r-project.org'))
Datasets:
  • GO_dme - Gene Ontology terms with gene ID for Drosophila melanogaster
  • KEGG_hsa - KEGG pathways with gene symbol for human

On BioConductor:gsean-1.33.0(bioc 3.24)gsean-1.32.0(bioc 3.23)

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

softwarestatisticalmethodnetworkgraphandnetworkgenesetenrichmentgeneexpressionnetworkenrichmentpathwaysdifferentialexpression

4.00 score 1 scripts 416 downloads 4 exports 98 dependencies

Last updated from:c52421e638. Checks:1 ERROR, 11 NOTE, 2 OK. Indexed: yes.

TargetResultTimeFilesSyslog
bioc-checksERROR277
linux-devel-arm64NOTE337
linux-devel-x86_64NOTE364
source / vignettesOK349
linux-release-arm64NOTE327
linux-release-x86_64NOTE373
macos-release-arm64NOTE155
macos-release-x86_64NOTE539
macos-oldrel-arm64NOTE231
macos-oldrel-x86_64NOTE381
windows-develNOTE443
windows-releaseNOTE496
windows-oldrelNOTE469
wasm-releaseOK222

Exports:centrality_gseaexprs2adjgseanlabel_prop_gsea

Dependencies:AnnotationDbiaskpassBHBiobaseBiocFileCacheBiocGenericsBiocParallelbiomaRtBiostringsbitbit64bitopsblobcachemcaToolschronclicodetoolscowplotcpp11crayoncurldata.tableDBIdbplyrdplyrfarverfastmapfastmatchfgseafilelockformatRfutile.loggerfutile.optionsgenericsggplot2gluegplotsgraphgsubfngtablegtoolshashhmshttrhttr2igraphIRangesisobandjsonliteKEGGRESTkernlabKernSmoothlabelinglambda.rlatticelifecyclemagrittrMatrixmemoisemimeopensslpillarpkgconfigplotrixplyrpngPPInferprettyunitsprogressprotopurrrR6rappdirsRColorBrewerRcpprlangRSQLiteS4VectorsS7scalesSeqinfosnowsqldfSTRINGdbstringistringrsystibbletidyrtidyselectutf8vctrsviridisLitewithrxml2XVectoryeastExpData

Gene Set Enrichment Analysis with Networks

Rendered fromgsean.Rmdusingknitr::rmarkdownon May 26 2026.

Last update: 2019-04-29
Started: 2018-01-07