KEGGandMetacoreDzPathwaysGEO

Disease Datasets from GEO


Bioconductor version: Release (3.19)

This is a collection of 18 data sets for which the phenotype is a disease with a corresponding pathway in either KEGG or metacore database.This collection of datasets were used as gold standard in comparing gene set analysis methods.

Author: Gaurav Bhatti

Maintainer: Gaurav Bhatti <gbhatti at med.wayne.edu>

Citation (from within R, enter citation("KEGGandMetacoreDzPathwaysGEO")):

Installation

To install this package, start R (version "4.4") and enter:


if (!require("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

BiocManager::install("KEGGandMetacoreDzPathwaysGEO")

For older versions of R, please refer to the appropriate Bioconductor release.

Documentation

To view documentation for the version of this package installed in your system, start R and enter:

browseVignettes("KEGGandMetacoreDzPathwaysGEO")
KEGGandMetacoreDzPathwaysGEO Vignette PDF R Script
Reference Manual PDF

Details

biocViews ExperimentData, GEO
Version 1.24.0
License GPL-2
Depends R (>= 2.15.0)
Imports Biobase, BiocGenerics
System Requirements
URL
See More
Suggests
Linking To
Enhances
Depends On Me
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 KEGGandMetacoreDzPathwaysGEO_1.24.0.tar.gz
Windows Binary
macOS Binary (x86_64)
macOS Binary (arm64)
Source Repository git clone https://git.bioconductor.org/packages/KEGGandMetacoreDzPathwaysGEO
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/KEGGandMetacoreDzPathwaysGEO
Package Short Url https://bioconductor.org/packages/KEGGandMetacoreDzPathwaysGEO/
Package Downloads Report Download Stats