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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: | 2.0.2 |
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 |
Published: | 2019-12-04 |
DOI: | 10.32614/CRAN.package.cytometree |
Author: | Chariff Alkhassim, Boris P Hejblum, Anthony Devaux, Van Hung Huynh Tran |
Maintainer: | Boris P Hejblum <boris.hejblum at u-bordeaux.fr> |
BugReports: | https://github.com/sistm/Cytometree/issues |
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' 'cytoftree': extension of 'cytometree' to analyze mass cytometry data |
Package source: | cytometree_2.0.2.tar.gz |
Windows binaries: | r-devel: cytometree_2.0.2.zip, r-release: cytometree_2.0.2.zip, r-oldrel: cytometree_2.0.2.zip |
macOS binaries: | r-release (arm64): cytometree_2.0.2.tgz, r-oldrel (arm64): cytometree_2.0.2.tgz, r-release (x86_64): cytometree_2.0.2.tgz, r-oldrel (x86_64): cytometree_2.0.2.tgz |
Old sources: | cytometree archive |
Reverse imports: | cyanoFilter |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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