bio-workflows-cytometry-pipeline
Installation
SKILL.md
Version Compatibility
Reference examples tested with: FlowSOM 2.10+, edgeR 4.0+, flowCore 2.14+, ggplot2 3.5+, limma 3.58+, numpy 1.26+, pandas 2.2+, scanpy 1.10+, scikit-learn 1.4+
Before using code patterns, verify installed versions match. If versions differ:
- Python:
pip show <package>thenhelp(module.function)to check signatures - R:
packageVersion('<pkg>')then?function_nameto verify parameters
If code throws ImportError, AttributeError, or TypeError, introspect the installed package and adapt the example to match the actual API rather than retrying.
Flow Cytometry Pipeline
"Process my flow cytometry data from FCS to differential analysis" → Orchestrate compensation, transformation, doublet removal, FlowSOM clustering, phenotype annotation, and diffcyt differential testing across conditions.