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>.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
2.0.6 |
rolling linux/jammy R-4.5 | cytometree_2.0.6.tar.gz |
2.5 MiB |
2.0.6 |
rolling linux/noble R-4.5 | cytometree_2.0.6.tar.gz |
2.5 MiB |
2.0.6 |
rolling source/ R- | cytometree_2.0.6.tar.gz |
2.2 MiB |
2.0.6 |
latest linux/jammy R-4.5 | cytometree_2.0.6.tar.gz |
2.5 MiB |
2.0.6 |
latest linux/noble R-4.5 | cytometree_2.0.6.tar.gz |
2.5 MiB |
2.0.6 |
latest source/ R- | cytometree_2.0.6.tar.gz |
2.2 MiB |
2.0.6 |
2026-04-26 source/ R- | cytometree_2.0.6.tar.gz |
2.2 MiB |
2.0.6 |
2026-04-23 source/ R- | cytometree_2.0.6.tar.gz |
2.2 MiB |
2.0.6 |
2026-04-09 windows/windows R-4.5 | cytometree_2.0.6.zip |
2.8 MiB |
2.0.2 |
2025-04-20 source/ R- | cytometree_2.0.2.tar.gz |
2.1 MiB |