cytometree: Automated Cytometry Gating

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.

Version: 1.0.1
Depends: R (≥ 3.1.0), Rcpp (≥ 0.12.4)
Imports: ggplot2, graphics, igraph, mclust, stats
LinkingTo: Rcpp, RcppArmadillo
Published: 2017-07-03
Author: Alkhassim Chariff
Maintainer: Alkhassim Chariff <chariff.alkhassim at gmail.com>
BugReports: https://github.com/chariff/Cytometree/issues
License: LGPL-3 | file LICENSE
NeedsCompilation: yes
Citation: cytometree citation info
Materials: README
CRAN checks: cytometree results

Downloads:

Reference manual: cytometree.pdf
Package source: cytometree_1.0.1.tar.gz
Windows binaries: r-devel: cytometree_1.0.1.zip, r-release: cytometree_1.0.1.zip, r-oldrel: cytometree_1.0.1.zip
OS X El Capitan binaries: r-release: cytometree_1.0.1.tgz
OS X Mavericks binaries: r-oldrel: cytometree_1.0.1.tgz
Old sources: cytometree archive

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