flowCL

flowCL assigns semantic labels to cell populations in flow cytometry data to standardize immunophenotypic annotation and enable integration with external knowledge sources.

Key Features:

• Semantic Labelling: Automates labeling of cell populations using standardized immunophenotypic criteria based on surface marker expression.
• Standardization and Reproducibility: Produces unambiguous labels that support reproducible identification of cell types across studies.
• Integration with External Knowledge: Generates structured labels that facilitate correlation of specific cell populations with diseases and other biological phenomena.
• Applied Dataset Support: Has been applied to label cell populations from the Federation of Clinical Immunology Societies Human Immunology Project Consortium lyoplate datasets.

Scientific Applications:

• Clinical immunology research: Standardizes cell population labels to support identification of specific cell types for studying disease mechanisms and evaluating immune responses.
• Data integration and comparative analysis: Enables comparison across studies and integration with external knowledge sources for disease association and broader biological interpretation.

Methodology:

Analyzes surface marker expression in flow cytometry datasets and assigns labels based on predefined immunophenotypic criteria.