DEGraph
Two-sample tests on a graph
Bioconductor version: 3.24 · Package version: 1.65.1
Other Bioconductor versions
devel is the development version; release is the current stable one.
3.24 (devel), 3.23 (release)
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.
Installation
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install("DEGraph")Details
| Maintainer | Laurent Jacob <laurent.jacob@gmail.com> |
| Author | Laurent Jacob, Pierre Neuvial and Sandrine Dudoit |
| License | GPL-3 |
| 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/ |
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.
Documentation
Download
Follow the installation instructions to use this package in your R session.
| Source package | DEGraph_1.65.1.tar.gz |