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.

Install the latest version of this package by entering the following in R:
AuthorWeijun Luo
Bioconductor views DifferentialExpression GO GeneExpression GeneSetEnrichment Genetics Microarray MultipleComparison OneChannel Pathways RNASeq Sequencing SystemsBiology TwoChannel
Date of publicationNone
MaintainerWeijun Luo <>
LicenseGPL (>=2.0)

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bods Man page Man page
colorpanel Man page
deComp Man page
eg2sym Man page
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essGene Man page
gage Man page
gageComp Man page
gagePipe Man page
gagePrep Man page
gageSum Man page
geneData Man page Man page
go.gsets Man page
greenred Man page
gse16873 Man page
gs.heatmap Man page
gs.KSTest Man page
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heatmap2 Man page
heter.gage Man page
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kegg.gsets Man page
kegg.species.code Man page
khier Man page
korg Man page
odd Man page
pairData Man page
readExpData Man page
readList Man page
rownorm Man page
sigGeneSet Man page
sym2eg Man page
vennCounts Man page
vennDiagram2 Man page

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