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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 "poem" in publications use:'
type: software
license: GPL-3.0-or-later
title: 'poem: POpulation-based Evaluation Metrics'
version: 1.4.0
doi: 10.1093/nar/gkaf921
identifiers:
- type: doi
  value: 10.32614/CRAN.package.poem
abstract: This package provides a comprehensive set of external and internal evaluation
  metrics. It includes metrics for assessing partitions or fuzzy partitions derived
  from clustering results, as well as for evaluating subpopulation identification
  results within embeddings or graph representations. Additionally, it provides metrics
  for comparing spatial domain detection results against ground truth labels, and
  tools for visualizing spatial errors.
authors:
- family-names: Luo
  given-names: Siyuan
  email: roseluosy@gmail.com
  orcid: https://orcid.org/0009-0007-6404-3244
- family-names: Germain
  given-names: Pierre-Luc
  email: pierre-luc.germain@hest.ethz.ch
  orcid: https://orcid.org/0000-0003-3418-4218
preferred-citation:
  type: article
  title: On metrics for subpopulation detection in single-cell and spatial omics data
  authors:
  - family-names: Luo
    given-names: Siyuan
    email: roseluosy@gmail.com
    orcid: https://orcid.org/0009-0007-6404-3244
  - family-names: Germain
    given-names: Pierre-Luc
    email: pierre-luc.germain@hest.ethz.ch
    orcid: https://orcid.org/0000-0003-3418-4218
  - family-names: Meyenn
    given-names: Ferdinand
    name-particle: von
  - family-names: Robinson
    given-names: Mark D.
  year: '2025'
  journal: Nucleic Acids Research
  volume: '53'
  issue: '18'
  doi: 10.1093/nar/gkaf921
  url: https://doi.org/10.1093/nar/gkaf921
repository: https://bioc-release.r-universe.dev
repository-code: https://github.com/RoseYuan/poem
commit: 2c80e66394297cbf3b1cd4c0bf1c8cffbdbe7036
url: https://roseyuan.github.io/poem/
date-released: '2026-04-28'
contact:
- family-names: Luo
  given-names: Siyuan
  email: roseluosy@gmail.com
  orcid: https://orcid.org/0009-0007-6404-3244