SuperCellCyto

SuperCellCyto summarises cytometry data into supercells by merging cells with similar marker expressions using the SuperCell package.

Key Features:

• Supercell generation: Groups highly similar cells into supercells to reduce dataset size while preserving biological information.
• Rare cell retention: Avoids excluding rare cell subsets that are at risk with random subsampling approaches.
• Large-scale processing: Enables efficient analysis of cytometry datasets containing millions of cells.

Scientific Applications:

• Cytometry data integration: Supports data integration tasks for large-scale cytometry datasets.
• Clustering: Facilitates clustering analysis of cytometry data with up to 50 proteins measured at single cell resolution.
• Dimensionality reduction: Enables dimensionality reduction workflows for high-dimensional cytometry data.

Methodology:

SuperCellCyto builds on the SuperCell tool to group highly similar cells into supercells based on similarity in marker expressions.