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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 "GSgalgoR" in publications use:'
type: software
license: MIT
title: 'GSgalgoR: An Evolutionary Framework for the Identification and Study of Prognostic
  Gene Expression Signatures in Cancer'
version: 1.15.0
doi: 10.1093/bioinformatics/btaa619
abstract: A multi-objective optimization algorithm for disease sub-type discovery
  based on a non-dominated sorting genetic algorithm. The 'Galgo' framework combines
  the advantages of clustering algorithms for grouping heterogeneous 'omics' data
  and the searching properties of genetic algorithms for feature selection. The algorithm
  search for the optimal number of clusters determination considering the features
  that maximize the survival difference between sub-types while keeping cluster consistency
  high.
authors:
- family-names: Guerrero
  given-names: Martin
  email: mguerrero@conicet-mendoza.gob.ar
- family-names: Catania
  given-names: Carlos
  email: harpomaxx@gmail.com
preferred-citation:
  type: article
  title: 'Galgo: A bi-objective evolutionary meta-heuristic identifies robust transcriptomic
    classifiers associated with patient outcome across multiple cancer types'
  authors:
  - family-names: Guerrero-Gimenez
    given-names: M E
  - family-names: Fernandez-Munoz
    given-names: J M
  - family-names: Lang
    given-names: B J
  - family-names: Holton
    given-names: K M
  - family-names: Ciocca
    given-names: D R
  - family-names: Catania
    given-names: C A
  - family-names: Zoppino
    given-names: F C M
  journal: Bioinformatics
  year: '2020'
  month: '7'
  issn: 1367-4803
  doi: 10.1093/bioinformatics/btaa619
  url: https://doi.org/10.1093/bioinformatics/btaa619
  notes: btaa619
repository: https://bioc.r-universe.dev
repository-code: https://github.com/harpomaxx/GSgalgoR
url: https://github.com/harpomaxx/GSgalgoR
contact:
- family-names: Catania
  given-names: Carlos
  email: harpomaxx@gmail.com