Bioconductor version: Release (3.6)
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")
):
To install this package, start R and enter:
## try http:// if https:// URLs are not supported source("https://bioconductor.org/biocLite.R") biocLite("KEGGdzPathwaysGEO")
Reference Manual |
biocViews | ExperimentData, GEO, MicroarrayData |
Version | 1.16.0 |
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 |
Follow Installation instructions to use this package in your R session.
Source Package | KEGGdzPathwaysGEO_1.16.0.tar.gz |
Windows Binary | |
Mac OS X 10.11 (El Capitan) | |
Source Repository | git clone https://git.bioconductor.org/packages/KEGGdzPathwaysGEO |
Package Short Url | http://bioconductor.org/packages/KEGGdzPathwaysGEO/ |
Package Downloads Report | Download Stats |
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