flowCore

flowCore provides S4 data structures and functions for representing, managing, and analyzing complex flow cytometry datasets to support comparison across multiple samples and clinical cohorts in biological research and clinical studies.

Key Features:

• S4 data structures: Implements versatile S4 classes to represent flow cytometry data and associated metadata for consistent programmatic handling.
• Sample- and cohort-level operations: Enables application of consistent operations across multiple samples or clinical cohorts to support comparative analyses.
• Extensibility and Bioconductor integration: Provides an architecture that can be extended by additional Bioconductor packages to expand analytic capabilities.
• Support for interdisciplinary analysis: Facilitates method development and integration of computational, statistical, and biological workflows for flow cytometry data.

Scientific Applications:

• Clinical trials and drug discovery: Organizes and analyzes high-throughput cytometry data generated in clinical trials and drug discovery studies.
• Biological research and clinical diagnostics: Supports cellular phenotyping and diagnostic analyses derived from flow cytometry experiments.
• Analytic-method development: Serves as a foundation for development and testing of new analytic methods for flow cytometry data.
• Management of complex datasets: Structures and streamlines analytic workflows for large, multi-sample flow cytometry datasets.

Methodology:

Implements S4 classes and accompanying functions to represent flow cytometry data and metadata, apply consistent operations across samples/cohorts, and support extension via Bioconductor packages.