To install this package, start R and enter:
## try http:// if https:// URLs are not supported source("https://bioconductor.org/biocLite.R") biocLite("gageData")
In most cases, you don't need to download the package archive at all.
This package is for version 3.4 of Bioconductor; for the stable, up-to-date release version, see gageData.
Bioconductor version: 3.4
This is a supportive data package for the software package, gage. However, the data supplied here are also useful for gene set or pathway analysis or microarray data analysis in general. In this package, we provide two demo microarray dataset: GSE16873 (a breast cancer dataset from GEO) and BMP6 (originally published as an demo dataset for GAGE, also registered as GSE13604 in GEO). This package also includes commonly used gene set data based on KEGG pathways and GO terms for major research species, including human, mouse, rat and budding yeast. Mapping data between common gene IDs for budding yeast are also included.
Author: Weijun Luo
Maintainer: Weijun Luo <luo_weijun at yahoo.com>
Citation (from within R,
enter citation("gageData")
):
To install this package, start R and enter:
## try http:// if https:// URLs are not supported source("https://bioconductor.org/biocLite.R") biocLite("gageData")
Reference Manual | ||
Text | NEWS |
biocViews | BreastCancerData, CancerData, ExperimentData, GEO, MicroarrayData, StemCell |
Version | 2.12.0 |
License | GPL (>=2.0) |
Depends | R (>= 2.10) |
Imports | |
LinkingTo | |
Suggests | gage, pathview, genefilter |
SystemRequirements | |
Enhances | |
URL | |
Depends On Me | |
Imports Me | |
Suggests Me | gage, ToPASeq |
Build Report |
Follow Installation instructions to use this package in your R session.
Package Source | gageData_2.12.0.tar.gz |
Windows Binary | |
Mac OS X 10.9 (Mavericks) | |
Subversion source | (username/password: readonly) |
Package Short Url | http://bioconductor.org/packages/gageData/ |
Package Downloads Report | Download Stats |
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