gageData
This is the released version of gageData; for the devel version, see gageData.
Auxillary data for gage package
Bioconductor version: Release (3.20)
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("gageData")
):
Installation
To install this package, start R (version "4.4") and enter:
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install("gageData")
For older versions of R, please refer to the appropriate Bioconductor release.
Documentation
Reference Manual | |
NEWS | Text |
Details
biocViews | BreastCancerData, CancerData, ExperimentData, GEO, MicroarrayData, StemCell |
Version | 2.44.0 |
License | GPL (>=2.0) |
Depends | R (>= 2.10) |
Imports | |
System Requirements | |
URL |
See More
Suggests | gage, pathview, genefilter |
Linking To | |
Enhances | |
Depends On Me | |
Imports Me | |
Suggests Me | gage |
Links To Me | |
Build Report | Build Report |
Package Archives
Follow Installation instructions to use this package in your R session.
Source Package | gageData_2.44.0.tar.gz |
Windows Binary (x86_64) | |
macOS Binary (x86_64) | |
macOS Binary (arm64) | |
Source Repository | git clone https://git.bioconductor.org/packages/gageData |
Source Repository (Developer Access) | git clone git@git.bioconductor.org:packages/gageData |
Package Short Url | https://bioconductor.org/packages/gageData/ |
Package Downloads Report | Download Stats |