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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 "UCell" in publications use:'
type: software
license: GPL-3.0-only
title: 'UCell: Rank-based signature enrichment analysis for single-cell data'
version: 2.9.0
doi: 10.1016/j.csbj.2021.06.043
abstract: UCell is a package for evaluating gene signatures in single-cell datasets.
  UCell signature scores, based on the Mann-Whitney U statistic, are robust to dataset
  size and heterogeneity, and their calculation demands less computing time and memory
  than other available methods, enabling the processing of large datasets in a few
  minutes even on machines with limited computing power. UCell can be applied to any
  single-cell data matrix, and includes functions to directly interact with SingleCellExperiment
  and Seurat objects.
authors:
- family-names: Andreatta
  given-names: Massimo
  email: massimo.andreatta@unil.ch
  orcid: https://orcid.org/0000-0002-8036-2647
- family-names: Carmona
  given-names: Santiago
  email: santiago.carmona@unil.ch
  orcid: https://orcid.org/0000-0002-2495-0671
preferred-citation:
  type: article
  title: 'UCell: Robust and scalable single-cell gene signature scoring'
  authors:
  - family-names: Andreatta
    given-names: Massimo
    email: massimo.andreatta@unil.ch
    orcid: https://orcid.org/0000-0002-8036-2647
  - family-names: Carmona
    given-names: Santiago J.
  journal: Comput Struct Biotechnol J.
  year: '2021'
  volume: '19'
  doi: 10.1016/j.csbj.2021.06.043
  start: 3796-3798
repository: https://bioc.r-universe.dev
repository-code: https://github.com/carmonalab/UCell
url: https://github.com/carmonalab/UCell
contact:
- family-names: Andreatta
  given-names: Massimo
  email: massimo.andreatta@unil.ch
  orcid: https://orcid.org/0000-0002-8036-2647