DEGraph

DOI: 10.18129/B9.bioc.DEGraph    

This package is for version 3.12 of Bioconductor; for the stable, up-to-date release version, see DEGraph.

Two-sample tests on a graph

Bioconductor version: 3.12

DEGraph implements recent hypothesis testing methods which directly assess whether a particular gene network is differentially expressed between two conditions. This is to be contrasted with the more classical two-step approaches which first test individual genes, then test gene sets for enrichment in differentially expressed genes. These recent methods take into account the topology of the network to yield more powerful detection procedures. DEGraph provides methods to easily test all KEGG pathways for differential expression on any gene expression data set and tools to visualize the results.

Author: Laurent Jacob, Pierre Neuvial and Sandrine Dudoit

Maintainer: Laurent Jacob <laurent.jacob at gmail.com>

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

Installation

To install this package, start R (version "4.0") and enter:

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

BiocManager::install("DEGraph")

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("DEGraph")

 

PDF R Script DEGraph: differential expression testing for gene networks
PDF   Reference Manual
Text   NEWS

Details

biocViews DecisionTree, DifferentialExpression, GraphAndNetwork, Microarray, Network, NetworkEnrichment, Software
Version 1.42.0
In Bioconductor since BioC 2.7 (R-2.12) (10.5 years)
License GPL-3
Depends R (>= 2.10.0), R.utils
Imports graph, KEGGgraph, lattice, mvtnorm, R.methodsS3, RBGL, Rgraphviz, rrcov, NCIgraph
LinkingTo
Suggests corpcor, fields, graph, KEGGgraph, lattice, marray, RBGL, rrcov, Rgraphviz, NCIgraph
SystemRequirements
Enhances
URL
Depends On Me
Imports Me
Suggests Me
Links To Me
Build Report  

Package Archives

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

Source Package DEGraph_1.42.0.tar.gz
Windows Binary
macOS 10.13 (High Sierra)
Source Repository git clone https://git.bioconductor.org/packages/DEGraph
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/DEGraph
Package Short Url https://bioconductor.org/packages/DEGraph/
Package Downloads Report Download Stats

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