mxfda

mxfda implements end-to-end functional data analysis of single-cell spatial data, connecting cell spatial relationships to patient outcomes through techniques including Ripley's K and functional regression.

Key Features:

• Functional Data Analysis Framework: Provides an R package implementing functional data analysis specifically tailored for single-cell spatial data analysis.
• Spatial Analysis Methods: Facilitates spatial analysis of single-cell imaging data using Ripley's K and functional regression techniques.
• End-to-End Analysis: Supports complete analytical workflows from spatial data input through functional modeling and outcome association.

Scientific Applications:

• Tumor Microenvironment Analysis: Enables investigation of tissue microstructures and spatial relationships within the tumor microenvironment to advance understanding of cancer biology.
• Patient Outcome Prediction: Connects cell spatial relationships to patient outcomes for personalized treatment of cancer.

Methodology:

mxfda uses functional data analysis techniques including Ripley's K and functional regression for spatial analysis of single-cell imaging data.