lisaClust

lisaClust identifies and visualises regions of tissue where spatial associations between cell-types are similar, providing a high-level summary of cell-type colocalization in multiplexed imaging data segmented at single-cell resolution.

Key Features:

• Spatial Association Clustering: Identifies regions with similar spatial associations between cell-types.
• Visualisation: Provides functions to visualise regions of tissue with similar cell-type spatial associations.
• Single-Cell Resolution Support: Processes multiplexed imaging data that has been segmented at a single-cell resolution.

Scientific Applications:

• Cell-Type Colocalization Analysis: Provides a high-level summary of cell-type colocalization patterns in tissue samples.
• Multiplexed Imaging Data Analysis: Analyzes spatial relationships in multiplexed imaging datasets at single-cell resolution.

Methodology:

The package uses clustering of Local Indicators of Spatial Association (LISA) to identify regions with similar spatial associations between cell-types.