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To install this package, start R and enter:
## try http:// if https:// URLs are not supported
source("https://bioconductor.org/biocLite.R")
biocLite("KEGGdzPathwaysGEO")
In most cases, you don't need to download the package archive at all.
KEGGdzPathwaysGEO
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This package is for version 3.4 of Bioconductor; for the stable, up-to-date release version, see KEGGdzPathwaysGEO.
KEGG Disease Datasets from GEO
Bioconductor version: 3.4
This is a collection of 24 data sets for which the phenotype is a disease with a corresponding pathway in the KEGG database.This collection of datasets were used as gold standard in comparing gene set analysis methods by the PADOG package.
Author: Gaurav Bhatti, Adi L. Tarca
Maintainer: Gaurav Bhatti <gbhatti at med.wayne.edu>
Citation (from within R,
enter citation("KEGGdzPathwaysGEO")):
Installation
To install this package, start R and enter:
## try http:// if https:// URLs are not supported
source("https://bioconductor.org/biocLite.R")
biocLite("KEGGdzPathwaysGEO")
Documentation
| Reference Manual |
Details
| biocViews | ExperimentData, GEO, MicroarrayData |
| Version | 1.12.0 |
| License | GPL-2 |
| Depends | R (>= 2.13.0) |
| Imports | Biobase, BiocGenerics |
| LinkingTo | |
| Suggests | |
| SystemRequirements | |
| Enhances | |
| URL | |
| Depends On Me | PADOG |
| Imports Me | |
| Suggests Me | |
| Build Report |
Package Archives
Follow Installation instructions to use this package in your R session.
| Package Source | KEGGdzPathwaysGEO_1.12.0.tar.gz |
| Windows Binary | |
| Mac OS X 10.9 (Mavericks) | |
| Subversion source | (username/password: readonly) |
| Package Short Url | http://bioconductor.org/packages/KEGGdzPathwaysGEO/ |
| Package Downloads Report | Download Stats |
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