DEGraph
This is the development version of DEGraph; for the stable release version, see DEGraph.
All Bioconductor versions of DEGraph
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: 3.24 · Package version: 1.65.1
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 1.65.1, 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")
## The following initializes the development version of Bioconductor
BiocManager::install(version = "devel")
BiocManager::install("DEGraph")For older versions of R, please refer to the appropriate Bioconductor release.
Details
| Version | 1.65.1 |
| License | GPL-3 |
| Last updated | 2026-05-29 |
| In Bioconductor since | BioC 2.7 (R-2.12) (15 years) |
| Downloads rank | 1747 of 2,456 |
| Source branch | devel |
| Build report | Bioconductor build system, r-universe |
| biocViews | DecisionTree, DifferentialExpression, GraphAndNetwork, Microarray, Network, NetworkEnrichment, Software |
| Package Short Url | https://bioconductor.org/packages/DEGraph/ |
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 | R Script | |
| Reference Manual | ||
| NEWS | Text |
Download
Follow the installation instructions to use this package in your R session.
| Source package | DEGraph_1.65.1.tar.gz |
| Source Repository | git clone https://git.bioconductor.org/packages/DEGraph |
| Source Repository (Developer Access) | git clone git@git.bioconductor.org:packages/DEGraph |
| Package Downloads Report | Download Stats |