KEGGdzPathwaysGEO
KEGG Disease Datasets from GEO
Bioconductor version: Release (3.19)
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 (version "4.4") and enter:
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install("KEGGdzPathwaysGEO")
For older versions of R, please refer to the appropriate Bioconductor release.
Documentation
Reference Manual |
Details
biocViews | ExperimentData, GEO, MicroarrayData |
Version | 1.42.0 |
License | GPL-2 |
Depends | R (>= 2.13.0) |
Imports | Biobase, BiocGenerics |
System Requirements | |
URL |
See More
Suggests | |
Linking To | |
Enhances | |
Depends On Me | PADOG |
Imports Me | GSEABenchmarkeR |
Suggests Me | |
Links To Me | |
Build Report | Build Report |
Package Archives
Follow Installation instructions to use this package in your R session.
Source Package | KEGGdzPathwaysGEO_1.42.0.tar.gz |
Windows Binary (x86_64) | |
macOS Binary (x86_64) | |
macOS Binary (arm64) | |
Source Repository | git clone https://git.bioconductor.org/packages/KEGGdzPathwaysGEO |
Source Repository (Developer Access) | git clone [email protected]:packages/KEGGdzPathwaysGEO |
Package Short Url | https://bioconductor.org/packages/KEGGdzPathwaysGEO/ |
Package Downloads Report | Download Stats |