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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 "veloviz" in publications use:'
type: software
license: GPL-3.0-only
title: 'veloviz: VeloViz: RNA-velocity informed 2D embeddings for visualizing cell
  state trajectories'
version: 1.11.0
identifiers:
- type: doi
  value: 10.32614/CRAN.package.veloviz
abstract: VeloViz uses each cell’s current observed and predicted future transcriptional
  states inferred from RNA velocity analysis to build a nearest neighbor graph between
  cells in the population. Edges are then pruned based on a cosine correlation threshold
  and/or a distance threshold and the resulting graph is visualized using a force-directed
  graph layout algorithm. VeloViz can help ensure that relationships between cell
  states are reflected in the 2D embedding, allowing for more reliable representation
  of underlying cellular trajectories.
authors:
- family-names: Atta
  given-names: Lyla
  email: lylaatta@jhmi.edu
  orcid: https://orcid.org/0000-0002-6113-0082
- family-names: Fan
  given-names: Jean
  email: jeanfan@jhu.edu
  orcid: https://orcid.org/0000-0002-0212-5451
- family-names: Sahoo
  given-names: Arpan
  email: asahoo1@jhu.edu
  orcid: https://orcid.org/0000-0002-0325-2073
preferred-citation:
  type: article
  title: 'VeloViz: RNA-velocity informed 2D embeddings for visualizing cellular trajectories'
  authors:
  - family-names: Atta
    given-names: Lyla
    email: lylaatta@jhmi.edu
    orcid: https://orcid.org/0000-0002-6113-0082
  - family-names: Fan
    given-names: Jean
    email: jeanfan@jhu.edu
    orcid: https://orcid.org/0000-0002-0212-5451
  journal: bioRxiv
  year: '2021'
  url: https://www.biorxiv.org/content/10.1101/2021.01.28.425293v1
repository: https://bioc.r-universe.dev
commit: 13cad1e51f32d7fe11daaebc9530b1077740440f
contact:
- family-names: Atta
  given-names: Lyla
  email: lylaatta@jhmi.edu
  orcid: https://orcid.org/0000-0002-6113-0082