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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 "microSTASIS" in publications use:'
type: software
license: GPL-3.0-only
title: 'microSTASIS: Microbiota STability ASsessment via Iterative cluStering'
version: 1.5.0
doi: 10.1093/bib/bbac055
identifiers:
- type: doi
  value: 10.32614/CRAN.package.microSTASIS
abstract: The toolkit 'µSTASIS', or microSTASIS, has been developed for the stability
  analysis of microbiota in a temporal framework by leveraging on iterative clustering.
  Concretely, the core function uses Hartigan-Wong k-means algorithm as many times
  as possible for stressing out paired samples from the same individuals to test if
  they remain together for multiple numbers of clusters over a whole data set of individuals.
  Moreover, the package includes multiple functions to subset samples from paired
  times, validate the results or visualize the output.
authors:
- family-names: Sánchez-Sánchez
  given-names: Pedro
  email: bio.pedro.technology@gmail.com
  orcid: https://orcid.org/0000-0002-4846-1813
- family-names: Benítez-Páez
  given-names: Alfonso
  email: alfbenpa@gmail.com
  orcid: https://orcid.org/0000-0001-5707-4340
preferred-citation:
  type: article
  title: Assessment of human microbiota stability across longitudinal samples using
    iteratively growing-partitioned clustering
  authors:
  - family-names: Sanchez-Sanchez
    given-names: Pedro
  - family-names: Santonja
    given-names: Francisco J.
  - family-names: Benitez-Paez
    given-names: Alfonso
  journal: Briefings in Bioinformatics
  volume: '23'
  issue: '2'
  year: '2022'
  month: '2'
  issn: '-2577'
  doi: 10.1093/bib/bbac055
  url: https://doi.org/10.1093/bib/bbac055
  notes: bbac055
repository: https://bioc.r-universe.dev
repository-code: https://github.com/BiotechPedro/microSTASIS
commit: 00fe97a14b92b1371f2e7aa8c6ef74919aeb0676
url: https://doi.org/10.1093/bib/bbac055
contact:
- family-names: Sánchez-Sánchez
  given-names: Pedro
  email: bio.pedro.technology@gmail.com
  orcid: https://orcid.org/0000-0002-4846-1813