Data Science & Analytics
Flowkit
FlowKit processes flow cytometry data by applying spillover compensation, logicle and biexponential transformations, and hierarchical gating using GatingML strategies, while supporting FlowJo 10 workspaces. It outputs reproducible gate counts, population percentages, and gated fluorescence summaries, allowing users to replicate FlowJo analyses directly in Python. Researchers and analysts who need precise, automated data processing and reproducibility benefit from its comprehensive workflow.
- Publisher / source
- Scientific Agent Skills
- Upstream record
- K-Dense-AI/scientific-agent-skills
- Version
- Version 3
- Published
- Publication review
- Approved for publication
- Content fingerprint
47c4dcb907dc6ec15daa4bdf1855e9c96860ef1a558507bef0084d79c2d1c57c