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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 "cytoMEM" in publications use:'
type: software
license: GPL-3.0-only
title: 'cytoMEM: Marker Enrichment Modeling (MEM)'
version: 1.9.0
abstract: MEM, Marker Enrichment Modeling, automatically generates and displays quantitative
  labels for cell populations that have been identified from single-cell data. The
  input for MEM is a dataset that has pre-clustered or pre-gated populations with
  cells in rows and features in columns. Labels convey a list of measured features
  and the features' levels of relative enrichment on each population. MEM can be applied
  to a wide variety of data types and can compare between MEM labels from flow cytometry,
  mass cytometry, single cell RNA-seq, and spectral flow cytometry using RMSD.
authors:
- family-names: Lima
  given-names: Sierra
  email: sierrambarone@gmail.com
  orcid: https://orcid.org/0000-0001-5944-750X
- family-names: Diggins
  given-names: Kirsten
  orcid: https://orcid.org/0000-0003-1622-0158
- family-names: Irish
  given-names: Jonathan
  email: jonathan.irish@vanderbilt.edu
  orcid: https://orcid.org/0000-0001-9428-8866
preferred-citation:
  type: article
  title: Characterizing cell subsets using marker enrichment modeling
  authors:
  - family-names: Diggins
    given-names: Kirsten E
  - family-names: Greenplate
    given-names: Allison R
  - family-names: Leelatian
    given-names: Nalin
  - family-names: Wogsland
    given-names: Cara E
  - family-names: Irish
    given-names: Jonathan M
  journal: Nature Methods
  year: '2017'
  volume: '14'
  url: https://www.nature.com/articles/nmeth.4149
  start: 275-278
repository: https://bioc.r-universe.dev
repository-code: https://github.com/cytolab/cytoMEM
url: https://github.com/cytolab/cytoMEM
contact:
- family-names: Irish
  given-names: Jonathan
  email: jonathan.irish@vanderbilt.edu
  orcid: https://orcid.org/0000-0001-9428-8866