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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 "vissE" in publications use:'
type: software
license: GPL-3.0-only
title: 'vissE: Visualising Set Enrichment Analysis Results'
version: 1.13.0
abstract: This package enables the interpretation and analysis of results from a gene
  set enrichment analysis using network-based and text-mining approaches. Most enrichment
  analyses result in large lists of significant gene sets that are difficult to interpret.
  Tools in this package help build a similarity-based network of significant gene
  sets from a gene set enrichment analysis that can then be investigated for their
  biological function using text-mining approaches.
authors:
- family-names: Bhuva
  given-names: Dharmesh D.
  email: bhuva.d@wehi.edu.au
  orcid: https://orcid.org/0000-0002-6398-9157
repository: https://bioc.r-universe.dev
repository-code: https://github.com/DavisLaboratory/vissE
url: https://davislaboratory.github.io/vissE
contact:
- family-names: Bhuva
  given-names: Dharmesh D.
  email: bhuva.d@wehi.edu.au
  orcid: https://orcid.org/0000-0002-6398-9157