KEGGandMetacoreDzPathwaysGEO
Disease Datasets from GEO
Bioconductor version: Release (3.20)
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 | R Script | |
| Reference Manual |
Details
| biocViews | ExperimentData, GEO |
| Version | 1.26.0 |
| 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_1.26.0.tar.gz |
| Windows Binary (x86_64) | |
| 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 |