# --------------------------------------------
# CITATION file created with {cffr} R package
# See also: https://docs.ropensci.org/cffr/
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cff-version: 1.2.0
message: 'To cite package "DEGraph" in publications use:'
type: software
license: GPL-3.0-only
title: 'DEGraph: Two-sample tests on a graph'
version: 1.57.0
doi: 10.1214/11-AOAS528
identifiers:
- type: doi
  value: 10.32614/CRAN.package.DEGraph
abstract: 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.
authors:
- family-names: Jacob
  given-names: Laurent
  email: laurent.jacob@gmail.com
- family-names: Neuvial
  given-names: Pierre
- family-names: Dudoit
  given-names: Sandrine
preferred-citation:
  type: article
  title: More power via graph-structured tests for differential expression of gene
    networks
  authors:
  - family-names: Jacob
    given-names: Laurent
    email: laurent.jacob@gmail.com
  - family-names: Neuvial
    given-names: Pierre
  - family-names: Dudoit
    given-names: Sandrine
  year: '2012'
  month: '6'
  doi: 10.1214/11-AOAS528
  journal: Ann. Appl. Stat.
  issue: '2'
  publisher:
    name: The Institute of Mathematical Statistics
  url: http://dx.doi.org/10.1214/11-AOAS528
  volume: '6'
  start: '561'
  end: '600'
repository: https://bioc.r-universe.dev
commit: d53511cccf739d1bc4d15b93fb12fad3c1504560
date-released: '2012-04-27'
contact:
- family-names: Jacob
  given-names: Laurent
  email: laurent.jacob@gmail.com