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 |
| 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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