# -------------------------------------------- # CITATION file created with {cffr} R package # See also: https://docs.ropensci.org/cffr/ # -------------------------------------------- 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: 1.30.0 doi: 10.1021/acs.jproteome.8b00523 identifiers: - type: doi value: 10.32614/CRAN.package.NormalyzerDE 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 - family-names: Zamore given-names: Måns email: mans.bioc@zamore.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-release.r-universe.dev repository-code: https://github.com/ComputationalProteomics/NormalyzerDE commit: a701c9979cc0885cf0d56d4ca1d7ec64d9b54ae5 url: https://computationalproteomics.github.io/NormalyzerDE/ date-released: '2026-04-28' contact: - family-names: Willforss given-names: Jakob email: jakob.willforss@hotmail.com