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.
- Version2.0.2
- R version≥ 3.1.0
- LicenseLGPL-3
- LicenseLICENSE
- Needs compilation?Yes
- cytometree citation info
- Last release12/04/2019
Documentation
Team
Boris P Hejblum
Anthony Devaux
Chariff Alkhassim
Van Hung Huynh Tran
Insights
Last 30 days
This package has been downloaded 276 times in the last 30 days. More than a random curiosity, but not quite a blockbuster. Still, it's gaining traction! The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 4 times.
The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.
Last 365 days
This package has been downloaded 3,079 times in the last 365 days. Now we’re talking! This work is officially 'heard of in academic circles', just like those wild research papers on synthetic bananas. The day with the most downloads was Sep 11, 2024 with 36 downloads.
The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.
Data provided by CRAN
Binaries
Dependencies
- Depends1 package
- Imports5 packages
- Suggests4 packages
- Linking To2 packages