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: |
2.0.6 |
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, testthat |
Published: |
2025-07-24 |
DOI: |
10.32614/CRAN.package.cytometree |
Author: |
Chariff Alkhassim [aut],
Boris P Hejblum [cre, aut],
Anthony Devaux [aut],
Van Hung Huynh Tran [aut],
Melany Durand [aut] |
Maintainer: |
Boris P Hejblum <boris.hejblum at u-bordeaux.fr> |
BugReports: |
https://github.com/sistm/Cytometree/issues |
License: |
LGPL-3 | file LICENSE |
URL: |
https://sistm.github.io/cytometree/,
https://github.com/sistm/Cytometree/ |
NeedsCompilation: |
yes |
Citation: |
cytometree citation info |
Materials: |
README, NEWS |
CRAN checks: |
cytometree results |
Documentation:
Downloads:
Reverse dependencies:
Linking:
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