buettnerlab/convexgating
Optimal gating strategies for flow and mass cytometry.
This tool helps researchers in immunology and cell biology analyze complex flow or mass cytometry data. It takes your pre-processed cell data, often with cell populations already identified by clustering, and automatically designs the best 'gating' strategy to isolate specific cell types. The output is a clear, step-by-step gating panel, along with metrics like purity and yield for each identified cell population.
Available on PyPI.
Use this if you need to objectively and efficiently define specific cell populations from complex cytometry data, replacing manual, subjective gating with an automated, optimal approach.
Not ideal if you prefer manual, expert-driven gating or if your data is not yet pre-processed or clustered into distinct cell populations.
Stars
16
Forks
—
Language
Python
License
MIT
Category
Last pushed
Nov 05, 2025
Commits (30d)
0
Dependencies
47
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