cytometree: Automated Cytometry Gating and Annotation
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 |
Documentation:
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