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DEGraph

This is the released version of DEGraph; for the devel version, see DEGraph.

All versions 3.24 (devel), 3.23 (release), 3.22, 3.21, 3.20, 3.19, 3.18, 3.17, 3.16, 3.15, 3.14, 3.13, 3.12, 3.11, 3.10, 3.9, 3.8, 3.7, 3.6, 3.5, 3.4, 3.3, 3.2, 3.1, 3.0, 2.14, 2.13, 2.12, 2.11, 2.10, 2.9, 2.8, 2.7

Two-sample tests on a graph


Bioconductor version: Release (3.23)

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")):

Laurent Jacob, Pierre Neuvial and Sandrine Dudoit. DEGraph: Two-sample tests on a graph. doi:10.18129/B9.bioc.DEGraph, R package version 1.64.0, https://bioconductor.org/packages/DEGraph.

Generated from the package metadata; it may differ from the package's own citation.

Installation

To install this package, start R (version "4.6") and enter:

if (!require("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")
DEGraph: differential expression testing for gene networks PDF R Script
Reference ManualPDF
NEWSText

Details

biocViews DecisionTree, DifferentialExpression, GraphAndNetwork, Microarray, Network, NetworkEnrichment, Software
Version1.64.0
In Bioconductor sinceBioC 2.7 (R-2.12) (16 years)
License GPL-3
Depends R (>= 2.10.0), R.utils
Imports graph, KEGGgraph, lattice, mvtnorm, R.methodsS3, RBGL, Rgraphviz, rrcov, NCIgraph
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Suggests corpcor, fields, graph, KEGGgraph, lattice, marray, RBGL, rrcov, Rgraphviz, NCIgraph
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Package Archives

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

Source Package DEGraph_1.64.0.tar.gz
Windows Binary (x86_64) DEGraph_1.64.0.zip
macOS Binary (big-sur-x86_64) DEGraph_1.64.0.tgz
macOS Binary (sonoma-arm64) DEGraph_1.64.0.tgz
Source Repositorygit 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/
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