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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 "NormalyzerDE" in publications use:'
type: software
license: Artistic-2.0
title: 'NormalyzerDE: Evaluation of normalization methods and calculation of differential
  expression analysis statistics'
version: 1.23.0
doi: 10.1021/acs.jproteome.8b00523
abstract: NormalyzerDE provides screening of normalization methods for LC-MS based
  expression data. It calculates a range of normalized matrices using both existing
  approaches and a novel time-segmented approach, calculates performance measures
  and generates an evaluation report. Furthermore, it provides an easy utility for
  Limma- or ANOVA- based differential expression analysis.
authors:
- family-names: Willforss
  given-names: Jakob
  email: jakob.willforss@hotmail.com
- family-names: Chawade
  given-names: Aakash
- family-names: Levander
  given-names: Fredrik
  email: fredrik.levander@immun.lth.se
preferred-citation:
  type: article
  title: 'NormalyzerDE: Online Tool for Improved Normalization of Omics Expression
    Data and High-Sensitivity Differential Expression Analysis'
  authors:
  - family-names: Willforss
    given-names: Jakob
    email: jakob.willforss@hotmail.com
  - family-names: Chawade
    given-names: Aakash
  - family-names: Levander
    given-names: Fredrik
    email: fredrik.levander@immun.lth.se
  year: '2018'
  journal: Journal of Proteome Research
  doi: 10.1021/acs.jproteome.8b00523
repository: https://bioc.r-universe.dev
repository-code: https://github.com/ComputationalProteomics/NormalyzerDE
url: https://github.com/ComputationalProteomics/NormalyzerDE
contact:
- family-names: Willforss
  given-names: Jakob
  email: jakob.willforss@hotmail.com