# -------------------------------------------- # CITATION file created with {cffr} R package # See also: https://docs.ropensci.org/cffr/ # -------------------------------------------- cff-version: 1.2.0 message: 'To cite package "msmsTests" in publications use:' type: software license: GPL-2.0-only title: 'msmsTests: LC-MS/MS Differential Expression Tests' version: 1.43.0 abstract: 'Statistical tests for label-free LC-MS/MS data by spectral counts, to discover differentially expressed proteins between two biological conditions. Three tests are available: Poisson GLM regression, quasi-likelihood GLM regression, and the negative binomial of the edgeR package.The three models admit blocking factors to control for nuissance variables.To assure a good level of reproducibility a post-test filter is available, where we may set the minimum effect size considered biologicaly relevant, and the minimum expression of the most abundant condition.' authors: - family-names: Font given-names: Josep Gregori i email: josep.gregori@gmail.com - family-names: Gregori given-names: Josep - family-names: Sanchez given-names: Alex - family-names: Villanueva given-names: Josep repository: https://bioc.r-universe.dev date-released: '2013-10-02' contact: - family-names: Font given-names: Josep Gregori i email: josep.gregori@gmail.com