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# 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 "clipper" in publications use:'
type: software
license: AGPL-3.0-only
title: 'clipper: Gene Set Analysis Exploiting Pathway Topology'
version: 1.45.0
doi: 10.32614/CRAN.package.clipper
abstract: Implements topological gene set analysis using a two-step empirical approach.
  It exploits graph decomposition theory to create a junction tree and reconstruct
  the most relevant signal path. In the first step clipper selects significant pathways
  according to statistical tests on the means and the concentration matrices of the
  graphs derived from pathway topologies. Then, it "clips" the whole pathway identifying
  the signal paths having the greatest association with a specific phenotype.
authors:
- family-names: Martini
  given-names: Paolo
  email: paolo.cavei@gmail.com
- family-names: Sales
  given-names: Gabriele
  email: gabriele.sales@unipd.it
- family-names: Romualdi
  given-names: Chiara
  email: chiara.romualdi@unipd.it
repository: https://bioc.r-universe.dev
commit: 65b08211719446fad4828c4a951747c72382e220
date-released: '2019-04-09'
contact:
- family-names: Martini
  given-names: Paolo
  email: paolo.cavei@gmail.com