To install this package, start R and enter:

source("http://bioconductor.org/biocLite.R")
biocLite("gage")

In most cases, you don't need to download the package archive at all.

gage

Generally Applicable Gene-set Enrichment for Pathway Analysis

Bioconductor version: Release (2.14)

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.

Author: Weijun Luo

Maintainer: Weijun Luo <luo_weijun at yahoo.com>

Citation (from within R, enter citation("gage")):

Installation

To install this package, start R and enter:

source("http://bioconductor.org/biocLite.R")
biocLite("gage")

Documentation

To view documentation for the version of this package installed in your system, start R and enter:

browseVignettes("gage")

 

PDF R Script Gene set and data preparation
PDF R Script Generally Applicable Gene-set/Pathway Analysis
PDF R Script RNA-Seq Data Pathway and Gene-set Analysis Workflows
PDF   Reference Manual
Text   NEWS

Details

biocViews DifferentialExpression, GO, GeneExpression, GeneSetEnrichment, Genetics, Microarray, MultipleComparison, OneChannel, Pathways, RNASeq, Sequencing, Software, SystemsBiology, TwoChannel
Version 2.14.4
In Bioconductor since BioC 2.7 (R-2.12)
License GPL (>=2.0)
Depends R (>= 2.10)
Imports graph, KEGGREST, AnnotationDbi
Suggests pathview, gageData, GO.db, org.Hs.eg.db, hgu133a.db, GSEABase, Rsamtools, GenomicAlignments, TxDb.Hsapiens.UCSC.hg19.knownGene, DESeq, DESeq2, edgeR, limma
System Requirements
URL http://www.biomedcentral.com/1471-2105/10/161
Depends On Me
Imports Me
Suggests Me gageData, pathview

Package Archives

Follow Installation instructions to use this package in your R session.

Package Source gage_2.14.4.tar.gz
Windows Binary gage_2.14.4.zip (32- & 64-bit)
Mac OS X 10.6 (Snow Leopard) gage_2.14.4.tgz
Mac OS X 10.9 (Mavericks) gage_2.14.4.tgz
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