# -------------------------------------------- # CITATION file created with {cffr} R package # See also: https://docs.ropensci.org/cffr/ # -------------------------------------------- cff-version: 1.2.0 message: 'To cite package "immunoClust" in publications use:' type: software license: Artistic-2.0 title: 'immunoClust: immunoClust - Automated Pipeline for Population Detection in Flow Cytometry' version: 1.44.0 doi: 10.32614/CRAN.package.immunoClust abstract: immunoClust is a model based clustering approach for Flow Cytometry samples. The cell-events of single Flow Cytometry samples are modelled by a mixture of multinominal normal- or t-distributions. The cell-event clusters of several samples are modelled by a mixture of multinominal normal-distributions aiming stable co-clusters across these samples. authors: - family-names: Soerensen given-names: Till email: till.soerensen@bioretis.com repository: https://bioc-release.r-universe.dev commit: 82d4df5c05b2e4e9f202da0603776157957ed32b date-released: '2025-09-18' contact: - family-names: Soerensen given-names: Till email: till.soerensen@bioretis.com