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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 "MALDIcellassay" in publications use:'
type: software
license: MIT
title: 'MALDIcellassay: Automated MALDI Cell Assays Using Dose-Response Curve Fitting'
version: 0.4.47
doi: 10.32614/CRAN.package.MALDIcellassay
abstract: Conduct automated cell-based assays using Matrix-Assisted Laser Desorption/Ionization
  (MALDI) methods for high-throughput screening of signals responsive to treatments.
  The package efficiently identifies high variance signals and fits dose-response
  curves to them. Quality metrics such as Z', V', log2FC, and CRS are provided for
  evaluating the potential of signals as biomarkers. The methodologies were introduced
  by Weigt et al. (2018) <https://doi.org/10.1038/s41598-018-29677-z> and refined
  by Unger et al. (2021) <https://doi.org/10.1038/s41596-021-00624-z>.
authors:
- family-names: Enzlein
  given-names: Thomas
  email: t.enzlein@hs-mannheim.de
  orcid: https://orcid.org/0000-0003-1789-4090
repository: https://cranhaven.r-universe.dev
repository-code: https://github.com/CeMOS-Mannheim/MALDIcellassay
commit: 6c6701c6859059b65339c61be713c9c0472f91be
url: https://github.com/CeMOS-Mannheim/MALDIcellassay
date-released: '2024-08-29'
contact:
- family-names: Enzlein
  given-names: Thomas
  email: t.enzlein@hs-mannheim.de
  orcid: https://orcid.org/0000-0003-1789-4090