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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 "CellTrails" in publications use:'
type: software
license: Artistic-2.0
title: 'CellTrails: Reconstruction, visualization and analysis of branching trajectories'
version: 1.23.0
doi: 10.1016/j.celrep.2018.05.002
abstract: CellTrails is an unsupervised algorithm for the de novo chronological ordering,
  visualization and analysis of single-cell expression data. CellTrails makes use
  of a geometrically motivated concept of lower-dimensional manifold learning, which
  exhibits a multitude of virtues that counteract intrinsic noise of single cell data
  caused by drop-outs, technical variance, and redundancy of predictive variables.
  CellTrails enables the reconstruction of branching trajectories and provides an
  intuitive graphical representation of expression patterns along all branches simultaneously.
  It allows the user to define and infer the expression dynamics of individual and
  multiple pathways towards distinct phenotypes.
authors:
- family-names: Ellwanger
  given-names: Daniel
  email: dc.ellwanger.dev@gmail.com
preferred-citation:
  type: article
  title: Transcriptional dynamics of hair-bundle morphogenesis revealed with CellTrails
  authors:
  - family-names: Ellwanger
    given-names: Daniel C.
  - family-names: Scheibinger
    given-names: Mirko
  - family-names: Dumont
    given-names: Rachel A.
  - family-names: Barr-Gillespie
    given-names: Peter G.
  - family-names: Heller
    given-names: Stefan
  journal: Cell Reports
  year: '2018'
  volume: 23(10)
  doi: 10.1016/j.celrep.2018.05.002
  start: 2901–14
repository: https://bioc.r-universe.dev
contact:
- family-names: Ellwanger
  given-names: Daniel
  email: dc.ellwanger.dev@gmail.com