Bioconductor version: 2.7
GAGE is a published method for gene set or pathway analysis. In gage package, we provide a series of functions for basic GAGE analysis, result processing and presentation. We have also built pipeline routines for of multiple GAGE analysis on different comparisons or samples, the comparison of parallel analysis results, and even the combined analysis of heterogeneous data from different sources/studies. In addition, we also 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 at cshl.edu>
To install this package, start R and enter:
source("http://bioconductor.org/biocLite.R") biocLite("gage")
To cite this package in a publication, start R and enter:
citation("gage")
R Script | Generally Applicable Gene-set/Pathway Analysis | |
Reference Manual |
biocViews | Pathways, GO, DifferentialExpression, Microarray, OneChannel, TwoChannel, RNAseq, DataRepresentation, Genetics, Bioinformatics, MultipleComparisons |
Depends | graph, multtest |
Imports | |
Suggests | gageData, GO.db, GSEABase, KEGG.db, org.Hs.eg.db |
System Requirements | |
License | GPL (>=2.0) |
URL | |
Depends On Me | |
Imports Me | |
Suggests Me | gageData |
Version | 2.0.0 |
Since | Bioconductor 2.7 (R-2.12) |
Package Source | gage_2.0.0.tar.gz |
Windows Binary | gage_2.0.0.zip (32- & 64-bit) |
MacOS 10.5 (Leopard) binary | gage_2.0.0.tgz |
Package Downloads Report | Download Stats |
Common Bioconductor workflows include:
Post questions about Bioconductor packages to our mailing lists. Read the posting guide before posting!