# -------------------------------------------- # CITATION file created with {cffr} R package # See also: https://docs.ropensci.org/cffr/ # -------------------------------------------- cff-version: 1.2.0 message: 'To cite package "gaga" in publications use:' type: software license: GPL-2.0-or-later title: 'gaga: GaGa hierarchical model for high-throughput data analysis' version: 2.51.0 abstract: Implements the GaGa model for high-throughput data analysis, including differential expression analysis, supervised gene clustering and classification. Additionally, it performs sequential sample size calculations using the GaGa and LNNGV models (the latter from EBarrays package). authors: - family-names: Rossell given-names: David email: rosselldavid@gmail.com - family-names: Rossell. given-names: David email: rosselldavid@gmail.com preferred-citation: type: article title: 'GaGa: a Parsimonious and Flexible Model for Differential Expression Analysis' authors: - family-names: D. given-names: Rossell journal: Annals of Applied Statistics year: '2009' volume: '3' start: 1035-1051 repository: https://bioc.r-universe.dev date-released: '2015-06-14' contact: - family-names: Rossell given-names: David email: rosselldavid@gmail.com