MetaGate

MetaGate facilitates interactive statistical analysis and visualization of manually gated high-dimensional cytometry data with metadata integration through a combinatorial gating-based data reduction algorithm.

Key Features:

• Combinatorial Gating Data Reduction: Produces a small, portable, and standardized data file from manually gated high-dimensional cytometry data.
• Metadata Integration: Enables integration of metadata with cytometry data for enhanced statistical analysis.
• Statistical Analysis: Provides statistical testing capabilities for high-dimensional cytometry datasets.
• Visualization: Generates figures for data interpretation through interactive analysis.

Scientific Applications:

• Immune Cell Population Analysis: Identifies key immune cell population changes associated with disease progression, as demonstrated in mass cytometry analysis of peripheral blood immune cells from patients with diffuse large B cell lymphoma and healthy controls.
• Cross-Experiment Comparison: Facilitates comparability across different cytometry experiments through standardized data output.
• Clinical Data Integration: Supports integration of clinical metadata with single-cell protein quantification data.

Methodology:

MetaGate employs a data reduction algorithm based on a combinatorial gating system applied to manually gated high-dimensional cytometry data.