Package: gage 2.57.0
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:
gage_2.57.0.tar.gz
gage_2.57.0.zip(r-4.5)gage_2.57.0.zip(r-4.4)gage_2.57.0.zip(r-4.3)
gage_2.57.0.tgz(r-4.4-any)gage_2.57.0.tgz(r-4.3-any)
gage_2.57.0.tar.gz(r-4.5-noble)gage_2.57.0.tar.gz(r-4.4-noble)
gage_2.57.0.tgz(r-4.4-emscripten)gage_2.57.0.tgz(r-4.3-emscripten)
gage.pdf |gage.html✨
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
- 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-2.57.0(bioc 3.21)gage-2.56.0(bioc 3.20)
pathwaysgodifferentialexpressionmicroarrayonechanneltwochannelrnaseqgeneticsmultiplecomparisongenesetenrichmentgeneexpressionsystemsbiologysequencing
Last updated 2 months agofrom:9f732fe22d. Checks:OK: 1 WARNING: 6. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Nov 29 2024 |
R-4.5-win | WARNING | Nov 29 2024 |
R-4.5-linux | WARNING | Nov 29 2024 |
R-4.4-win | WARNING | Nov 29 2024 |
R-4.4-mac | WARNING | Nov 29 2024 |
R-4.3-win | WARNING | Nov 29 2024 |
R-4.3-mac | WARNING | Nov 29 2024 |
Exports:eg2symesset.grpessGenegagegageCompgagePipegagePrepgageSumgeneDatago.gsetsgs.KSTestgs.tTestgs.zTestheter.gagekegg.gsetspairDatareadExpDatareadListsigGeneSetsym2eg
Dependencies:AnnotationDbiaskpassBiobaseBiocGenericsBiostringsbitbit64blobcachemclicpp11crayoncurlDBIfastmapgenericsGenomeInfoDbGenomeInfoDbDataglueGO.dbgraphhttrIRangesjsonliteKEGGRESTlifecyclememoisemimeopensslpkgconfigplogrpngR6rlangRSQLiteS4VectorssysUCSC.utilsvctrsXVectorzlibbioc
Gene set and data preparation
Rendered fromdataPrep.Rnw
usingutils::Sweave
on Nov 29 2024.Last update: 2017-06-24
Started: 2013-11-01
Generally Applicable Gene-set/Pathway Analysis
Rendered fromgage.Rnw
usingutils::Sweave
on Nov 29 2024.Last update: 2021-04-29
Started: 2013-11-01
RNA-Seq Data Pathway and Gene-set Analysis Workflows
Rendered fromRNA-seqWorkflow.Rnw
usingutils::Sweave
on Nov 29 2024.Last update: 2021-04-29
Started: 2013-11-01
Readme and manuals
Help Manual
Help page | Topics |
---|---|
Conversion between Entrez Gene IDs and official gene symbols for human genes. | eg2sym sym2eg |
Mapping between Entrez Gene IDs and official symbols | egSymb |
The non-redundant signcant gene set list | esset.grp |
Essential member genes in a gene set | essGene |
GAGE (Generally Applicable Gene-set Enrichment) analysis | gage gagePrep gageSum |
Compare multiple GAGE analyses results | gageComp |
GAGE analysis pipeline | gagePipe |
View the expression data for selected genes | geneData |
Generate up-to-date GO (Gene Ontology) gene sets | go.gsets |
Gene set differential expression test | gs.KSTest gs.tTest gs.zTest |
GSE16873: a breast cancer microarray dataset | gse16873 |
GAGE analysis for heterogeneous data | heter.gage pairData |
Common gene set data collections | bods carta.gs go.gs kegg.gs kegg.gs.dise khier korg |
Generate up-to-date KEGG pathway gene sets | kegg.gsets |
Read in expression data | readExpData |
Read in gene set data as a named list | readList |
Significant gene set from GAGE analysis | sigGeneSet |