# --------------------------------------------
# CITATION file created with {cffr} R package
# See also: https://docs.ropensci.org/cffr/
# --------------------------------------------
 
cff-version: 1.2.0
message: 'To cite package "RUCova" in publications use:'
type: software
license: GPL-3.0-only
title: 'RUCova: Removes unwanted covariance from mass cytometry data'
version: 1.5.0
doi: 10.1101/2024.05.24.595717
identifiers:
- type: doi
  value: 10.32614/CRAN.package.RUCova
abstract: Mass cytometry enables the simultaneous measurement of dozens of protein
  markers at the single-cell level, producing high dimensional datasets that provide
  deep insights into cellular heterogeneity and function. However, these datasets
  often contain unwanted covariance introduced by technical variations, such as differences
  in cell size, staining efficiency, and instrument-specific artifacts, which can
  obscure biological signals and complicate downstream analysis. This package addresses
  this challenge by implementing a robust framework of linear models designed to identify
  and remove these sources of unwanted covariance. By systematically modeling and
  correcting for technical noise, the package enhances the quality and interpretability
  of mass cytometry data, enabling researchers to focus on biologically relevant signals.
authors:
- family-names: Astaburuaga-García
  given-names: Rosario
  email: rosario.astaburuaga@charite.de
  orcid: https://orcid.org/0000-0003-1179-4080
preferred-citation:
  type: article
  title: 'RUCova: Removal of Unwanted Covariance in mass cytometry data'
  authors:
  - family-names: Astaburuaga-Garcia
    given-names: Rosario
  - family-names: Sell
    given-names: Thomas
  - family-names: Mutlu
    given-names: Samet
  - family-names: Sieber
    given-names: Anja
  - family-names: Lauber
    given-names: Kirsten
  - family-names: Bluethgen
    given-names: Nils
  journal: Bioinformatics
  year: '2024'
  doi: 10.1101/2024.05.24.595717
  url: https://doi.org/10.1101/2024.05.24.595717
repository: https://bioc.r-universe.dev
repository-code: https://github.com/molsysbio/RUCova
commit: 6a9e62f5703453c347992ae3977a08cb185a2184
url: https://github.com/molsysbio/RUCova
date-released: '2026-04-28'
contact:
- family-names: Astaburuaga-García
  given-names: Rosario
  email: rosario.astaburuaga@charite.de
  orcid: https://orcid.org/0000-0003-1179-4080