flowMatch

flowMatch matches cell populations across flow cytometry datasets and constructs meta-clusters and templates to enable comparative analysis of cellular phenotypes.

Key Features:

• Population matching: Matches similar cell populations across multiple flow cytometry (FC) samples.
• Meta-cluster and template construction: Builds meta-clusters and templates that represent common cellular phenotypes observed across datasets.
• R and Bioconductor integration: Implemented in R and interoperates with Bioconductor packages for high-throughput flow cytometry analysis.
• Statistical matching methods: Applies statistical techniques to ensure accurate and reliable alignment of cell populations.

Scientific Applications:

• Cross-sample comparison: Enables integration and comparison of cell population data from different flow cytometry experiments.
• Immunophenotyping: Supports identification and synthesis of common immune cell phenotypes across multiple datasets.
• Disease modeling: Facilitates comparative analyses relevant to complex disease modeling using flow cytometry data.

Methodology:

Performs statistical matching of cell populations and constructs meta-clusters and templates; implemented in R with integration to Bioconductor packages.