Automated Cytometry Gating and Annotation R package cytometree version 2.0.6 Given the hypothesis of a bi-modal distribution of cells for each marker, the algorithm constructs a binary tree, the nodes of which are subpopulations of cells. At each node, observed cells and markers are modeled by both a family of normal distributions and a family of bi-modal normal mixture distributions. Splitting is done according to a normalized difference of AIC between the two families. Method is detailed in: Commenges, Alkhassim, Gottardo, Hejblum & Thiebaut (2018) <doi: 10.1002/cyto.a.23601>. Software Depends: R (>= 3.1.0), Rcpp (>= 0.12.11) Imports: ggplot2, graphics, igraph, mclust, methods, stats, cowplot, GoFKernel LinkingTo: Rcpp, RcppArmadillo Suggests: knitr, formatR, rmarkdown, viridis, testthat Boris P Hejblum <boris.hejblum@u-bordeaux.fr> Comprehensive R Archive Network (CRAN) Chariff Alkhassim [aut], Boris P Hejblum [cre, aut], Anthony Devaux [aut], Van Hung Huynh Tran [aut], Melany Durand [aut] LGPL-3 file LICENSE (https://CRAN.R-project.org/package=cytometree/LICENSE) 2025-07-24 application/tgz https://CRAN.R-project.org/package=cytometree doi:10.32614/CRAN.package.cytometree