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 |
| 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: cytometree_2.0.2.tgz, r-oldrel: cytometree_2.0.2.tgz |
| Old sources: | cytometree archive |
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