To install this package, start R and enter:
## try http:// if https:// URLs are not supported source("https://bioconductor.org/biocLite.R") biocLite("Mergeomics")
In most cases, you don't need to download the package archive at all.
This package is for version 3.4 of Bioconductor; for the stable, up-to-date release version, see Mergeomics.
Bioconductor version: 3.4
The Mergeomics pipeline serves as a flexible framework for integrating multidimensional omics-disease associations, functional genomics, canonical pathways and gene-gene interaction networks to generate mechanistic hypotheses. It includes two main parts, 1) Marker set enrichment analysis (MSEA); 2) Weighted Key Driver Analysis (wKDA).
Author: Ville-Petteri Makinen, Le Shu, Yuqi Zhao, Zeyneb Kurt, Bin Zhang, Xia Yang
Maintainer: Zeyneb Kurt <zeyneb at ucla.edu>
Citation (from within R,
enter citation("Mergeomics")
):
To install this package, start R and enter:
## try http:// if https:// URLs are not supported source("https://bioconductor.org/biocLite.R") biocLite("Mergeomics")
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("Mergeomics")
R Script | Mergeomics | |
Reference Manual | ||
Text | NEWS |
biocViews | Software |
Version | 1.2.0 |
In Bioconductor since | BioC 3.3 (R-3.3) (1 year) |
License | GPL (>= 2) |
Depends | R (>= 3.0.1) |
Imports | |
LinkingTo | |
Suggests | RUnit, BiocGenerics |
SystemRequirements | |
Enhances | |
URL | |
Depends On Me | |
Imports Me | |
Suggests Me | |
Build Report |
Follow Installation instructions to use this package in your R session.
Package Source | Mergeomics_1.2.0.tar.gz |
Windows Binary | Mergeomics_1.2.0.zip |
Mac OS X 10.9 (Mavericks) | Mergeomics_1.2.0.tgz |
Subversion source | (username/password: readonly) |
Git source | https://github.com/Bioconductor-mirror/Mergeomics/tree/release-3.4 |
Package Short Url | http://bioconductor.org/packages/Mergeomics/ |
Package Downloads Report | Download Stats |
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