Package: gage 2.63.0

Weijun Luo

gage: Generally Applicable Gene-set Enrichment for Pathway Analysis

GAGE is a published method for gene set (enrichment or GSEA) or pathway analysis. GAGE is generally applicable independent of microarray or RNA-Seq data attributes including sample sizes, experimental designs, assay platforms, and other types of heterogeneity, and consistently achieves superior performance over other frequently used methods. In gage package, we provide functions for basic GAGE analysis, result processing and presentation. We have also built pipeline routines for of multiple GAGE analyses in a batch, comparison between parallel analyses, and combined analysis of heterogeneous data from different sources/studies. In addition, we provide demo microarray data and commonly used gene set data based on KEGG pathways and GO terms. These funtions and data are also useful for gene set analysis using other methods.

Authors:Weijun Luo

gage_2.63.0.tar.gz
gage_2.63.0.zip(r-4.7)gage_2.63.0.zip(r-4.6)gage_2.63.0.zip(r-4.5)
gage_2.63.0.tgz(r-4.6-any)gage_2.63.0.tgz(r-4.5-any)
gage_2.63.0.tar.gz(r-4.7-any)gage_2.63.0.tar.gz(r-4.6-any)
gage_2.63.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html
card.svg |card.png
gage/json (API)
NEWS

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

Bug tracker:https://github.com/datapplab/gage/issues

Datasets:
  • bods - Common gene set data collections
  • carta.gs - Common gene set data collections
  • egSymb - Mapping between Entrez Gene IDs and official symbols
  • go.gs - Common gene set data collections
  • gse16873 - GSE16873: a breast cancer microarray dataset
  • kegg.gs - Common gene set data collections
  • kegg.gs.dise - Common gene set data collections
  • khier - Common gene set data collections
  • korg - Common gene set data collections

On BioConductor:gage-2.63.0(bioc 3.24)gage-2.62.0(bioc 3.23)

pathwaysgodifferentialexpressionmicroarrayonechanneltwochannelrnaseqgeneticsmultiplecomparisongenesetenrichmentgeneexpressionsystemsbiologysequencing

9.41 score 6 stars 3 packages 1.1k scripts 1.5k downloads 45 mentions 20 exports 37 dependencies

Last updated from:8234ca0cd1. Checks:1 ERROR, 7 WARNING, 2 OK. Indexed: yes.

TargetResultTimeFilesSyslog
bioc-checksERROR262
linux-devel-x86_64WARNING599
source / vignettesOK435
linux-release-x86_64WARNING317
macos-release-arm64WARNING147
macos-oldrel-arm64WARNING158
windows-develWARNING451
windows-releaseWARNING332
windows-oldrelWARNING357
wasm-releaseOK208

Exports:eg2symesset.grpessGenegagegageCompgagePipegagePrepgageSumgeneDatago.gsetsgs.KSTestgs.tTestgs.zTestheter.gagekegg.gsetspairDatareadExpDatareadListsigGeneSetsym2eg

Dependencies:AnnotationDbiaskpassBiobaseBiocGenericsBiostringsbitbit64blobcachemclicpp11crayoncurlDBIfastmapgenericsglueGO.dbgraphhttrIRangesjsonliteKEGGRESTlifecyclememoisemimeopensslpkgconfigpngR6rlangRSQLiteS4VectorsSeqinfosysvctrsXVector

Gene set and data preparation

Rendered fromdataPrep.Rnwusingutils::Sweaveon May 30 2026.

Last update: 2017-06-24
Started: 2013-11-01

Generally Applicable Gene-set/Pathway Analysis

Rendered fromgage.Rnwusingutils::Sweaveon May 30 2026.

Last update: 2021-04-29
Started: 2013-11-01

RNA-Seq Data Pathway and Gene-set Analysis Workflows

Rendered fromRNA-seqWorkflow.Rnwusingutils::Sweaveon May 30 2026.

Last update: 2021-04-29
Started: 2013-11-01