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license: GPL-2.0-or-later
title: 'CePa: Centrality-Based Pathway Enrichment'
version: 0.8.1
doi: 10.32614/CRAN.package.CePa
abstract: It aims to find significant pathways through network topology information.
  It has several advantages compared with current pathway enrichment tools. First,
  pathway node instead of single gene is taken as the basic unit when analysing networks
  to meet the fact that genes must be constructed into complexes to hold normal functions.
  Second, multiple network centrality measures are applied simultaneously to measure
  importance of nodes from different aspects to make a full view on the biological
  system. CePa extends standard pathway enrichment methods, which include both over-representation
  analysis procedure and gene-set analysis procedure. <https://doi.org/10.1093/bioinformatics/btt008>.
authors:
- family-names: Gu
  given-names: Zuguang
  email: z.gu@dkfz.de
  orcid: https://orcid.org/0000-0002-7395-8709
repository: https://CRAN.R-project.org/package=CePa
repository-code: https://github.com/jokergoo/CePa
url: https://github.com/jokergoo/CePa
date-released: '2024-10-07'
contact:
- family-names: Gu
  given-names: Zuguang
  email: z.gu@dkfz.de
  orcid: https://orcid.org/0000-0002-7395-8709