cytometree: Automated Cytometry Gating and Annotation
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>.
| Version: | 2.0.6 |
| 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 |
| Published: | 2025-07-24 |
| DOI: | 10.32614/CRAN.package.cytometree |
| Author: | Chariff Alkhassim [aut], Boris P Hejblum [cre, aut], Anthony Devaux [aut], Van Hung Huynh Tran [aut], Melany Durand [aut] |
| Maintainer: | Boris P Hejblum <boris.hejblum at u-bordeaux.fr> |
| BugReports: | https://github.com/sistm/Cytometree/issues |
| License: | LGPL-3 | fileLICENSE |
| URL: | https://sistm.github.io/cytometree/,https://github.com/sistm/Cytometree/ |
| NeedsCompilation: | yes |
| Citation: | cytometree citation info |
| Materials: | README,NEWS |
| CRAN checks: | cytometree results |
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