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.

Version: 1.3.0
Depends: R (≥ 3.1.0), Rcpp (≥ 0.12.11)
Imports: ggplot2, graphics, igraph, mclust, robustbase, stats, cowplot
LinkingTo: Rcpp, RcppArmadillo
Suggests: knitr, rmarkdown, viridis
Published: 2019-01-12
Author: Chariff Alkhassim, Boris Hejblum, Anthony Devaux, Van Hung Huynh Tran
Maintainer: Boris Hejblum <boris.hejblum at>
License: LGPL-3 | file LICENSE
NeedsCompilation: yes
Citation: cytometree citation info
Materials: README NEWS
CRAN checks: cytometree results


Reference manual: cytometree.pdf
Vignettes: User guide for performing automatic gating with 'cytometree'
Package source: cytometree_1.3.0.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
OS X binaries: r-release: cytometree_1.3.0.tgz, r-oldrel: cytometree_1.2.0.tgz
Old sources: cytometree archive


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