flowGraph
flowGraph identifies maximal differential cell populations in flow cytometry data while accounting for dependencies between cell populations.
Key Features:
- SpecEnr abundance score calculation: flowGraph calculates SpecEnr abundance scores given cell population cell counts.
- Score visualization: flowGraph plots SpecEnr abundance scores for interpreted results.
- Dependency-aware analysis: The method takes into account dependencies between cell populations when identifying differential populations.
Scientific Applications:
- Differential cell population detection: flowGraph identifies maximal differential cell populations in flow cytometry data accounting for marker frequency dependencies.
Methodology:
flowGraph calculates and plots SpecEnr abundance scores given cell population cell counts, taking into account dependencies between cell populations.
Collections
Details
- License:
- Artistic-2.0
- Tool Type:
- command-line tool, library
- Operating Systems:
- Linux, Mac, Windows
- Programming Languages:
- R
- Added:
- 10/2/2026
- Last Updated:
- 10/2/2026
Operations
Documentation
User manual
https://bioconductor.org/packages/flowGraphDownloads
- Source codehttps://github.com/aya49/flowGraph