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.

Mergeomics

DOI: 10.18129/B9.bioc.Mergeomics    

Integrative network analysis of omics data

Bioconductor version: Release (3.5)

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")):

Installation

To install this package, start R and enter:

## try http:// if https:// URLs are not supported
source("https://bioconductor.org/biocLite.R")
biocLite("Mergeomics")

Documentation

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

browseVignettes("Mergeomics")

 

PDF R Script Mergeomics
PDF   Reference Manual
Text   NEWS

Details

biocViews Software
Version 1.4.0
In Bioconductor since BioC 3.3 (R-3.3) (1.5 years)
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  

Package Archives

Follow Installation instructions to use this package in your R session.

Source Package Mergeomics_1.4.0.tar.gz
Windows Binary Mergeomics_1.4.0.zip
Mac OS X 10.11 (El Capitan) Mergeomics_1.4.0.tgz
Source Repository git clone https://git.bioconductor.org/packages/Mergeomics
Package Short Url http://bioconductor.org/packages/Mergeomics/
Package Downloads Report Download Stats

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