BCyto

BCyto performs analysis and visualization of flow cytometry (FCM) data in R, enabling axis transformation, compensation matrix modification and visualization, backgating and overlay plot generation, proliferation analysis, and dimensionality reduction for cellular phenotype characterization.

Key Features:

• Axis transformation: Provides axis transformation methods to improve visualization and interpretation of FCM signals.
• Compensation plot visualization and matrix modification: Generates compensation plots and supports modification of compensation matrices for multicolor flow cytometry data correction.
• Backgating and overlay plot generation: Produces backgating and overlay plots to validate gating strategies and compare datasets.
• Proliferation analysis tools: Includes built-in tools to analyze cell proliferation metrics from FCM data.
• Dimensionality reduction techniques: Supports dimensionality reduction methods for simplifying and visualizing high-dimensional FCM datasets.

Scientific Applications:

• Immunology: Analysis of immune cell populations and marker expression by flow cytometry.
• Cancer biology: Characterization of tumor and immune subsets, including proliferation assessments in cancer studies.
• Stem cell research: Profiling of stem cell markers and differentiation states using FCM-based phenotyping.
• Cellular phenotype characterization: Quantification and comparison of size, granularity, and protein expression levels from FCM experiments.

Methodology:

Implemented in the R programming environment for statistical computing and graphics.