Automated Cytometry Gating and Annotation

Given the hypothesis of a bimodal 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 bimodal normal mixture distributions. Splitting is done according to a normalized difference of AIC between the two families.


Reference manual

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1.1.1 by Alkhassim Chariff, a month ago

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Authors: Chariff Alkhassim, Boris Hejblum

Documentation:   PDF Manual  

LGPL-3 | file LICENSE license

Imports ggplot2, graphics, igraph, mclust, stats

Depends on Rcpp

Suggests knitr, rmarkdown, viridis

Linking to Rcpp, RcppArmadillo

See at CRAN