Package: gsean 1.27.0

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

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NEWS

# Install 'gsean' in R:
install.packages('gsean', repos = c('https://bioc.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Datasets:
  • GO_dme - Gene Ontology terms with gene ID for Drosophila melanogaster
  • KEGG_hsa - KEGG pathways with gene symbol for human

On BioConductor:gsean-1.27.0(bioc 3.21)gsean-1.26.0(bioc 3.20)

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 198 downloads 4 exports 108 dependencies

Last updated 2 months agofrom:2515344625. Checks:OK: 1 NOTE: 8. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 29 2024
R-4.5-win-x86_64NOTENov 29 2024
R-4.5-linux-x86_64NOTENov 29 2024
R-4.4-win-x86_64NOTENov 29 2024
R-4.4-mac-x86_64NOTENov 29 2024
R-4.4-mac-aarch64NOTENov 29 2024
R-4.3-win-x86_64NOTENov 29 2024
R-4.3-mac-x86_64NOTENov 29 2024
R-4.3-mac-aarch64NOTENov 29 2024

Exports:centrality_gseaexprs2adjgseanlabel_prop_gsea

Dependencies:AnnotationDbiaskpassBHBiobaseBiocFileCacheBiocGenericsBiocParallelbiomaRtBiostringsbitbit64bitopsblobcachemcaToolschronclicodetoolscolorspacecowplotcpp11crayoncurldata.tableDBIdbplyrdigestdplyrfansifarverfastmapfastmatchfgseafilelockformatRfutile.loggerfutile.optionsgenericsGenomeInfoDbGenomeInfoDbDataggplot2gluegplotsgraphgsubfngtablegtoolshashhmshttrhttr2igraphIRangesisobandjsonliteKEGGRESTkernlabKernSmoothlabelinglambda.rlatticelifecyclemagrittrMASSMatrixmemoisemgcvmimemunsellnlmeopensslpillarpkgconfigplogrplotrixplyrpngPPInferprettyunitsprogressprotopurrrR6rappdirsRColorBrewerRcpprlangRSQLiteS4VectorsscalessnowsqldfSTRINGdbstringistringrsystibbletidyrtidyselectUCSC.utilsutf8vctrsviridisLitewithrxml2XVectoryeastExpDatazlibbioc

Gene Set Enrichment Analysis with Networks

Rendered fromgsean.Rmdusingknitr::rmarkdownon Nov 29 2024.

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