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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 "CytOpT" in publications use:'
type: software
license: GPL-2.0-or-later
title: 'CytOpT: Optimal Transport for Gating Transfer in Cytometry Data with Domain
  Adaptation'
version: 0.9.4
identifiers:
- type: doi
  value: 10.32614/CRAN.package.CytOpT
abstract: Supervised learning from a source distribution (with known segmentation
  into cell sub-populations) to fit a target distribution with unknown segmentation.
  It relies regularized optimal transport to directly estimate the different cell
  population proportions from a biological sample characterized with flow cytometry
  measurements. It is based on the regularized Wasserstein metric to compare cytometry
  measurements from different samples, thus accounting for possible mis-alignment
  of a given cell population across sample (due to technical variability from the
  technology of measurements). Supervised learning technique based on the Wasserstein
  metric that is used to estimate an optimal re-weighting of class proportions in
  a mixture model Details are presented in Freulon P, Bigot J and Hejblum BP (2021)
  <arXiv:2006.09003>.
authors:
- family-names: Hejblum
  given-names: Boris
  email: boris.hejblum@u-bordeaux.fr
- family-names: Freulon
  given-names: Paul
  email: paul.freulon@math.u-bordeaux.fr
- family-names: Ba
  given-names: Kalidou
preferred-citation:
  type: article
  title: 'CytOpT: Optimal Transport with Domain Adaptation for Interpreting Flow Cytometry
    data'
  authors:
  - name: Freulon
  - name: Paul
  - name: Bigot
  - name: J'er'emie
  - name: Hejblum
  - family-names: P
    given-names: Boris
  journal: arXiv
  year: '2020'
  url: https://arxiv.org/abs/2006.09003
  notes: R package version 0.9.4
  start: '2006.09003'
repository: https://sistm.r-universe.dev
repository-code: https://github.com/sistm/CytOpT-R/
commit: 0e45463a5588bb2149a945ba2ddc78c7b1a23a13
url: https://sistm.github.io/CytOpT-R/
date-released: '2022-02-08'
contact:
- family-names: Hejblum
  given-names: Boris
  email: boris.hejblum@u-bordeaux.fr