coex-simulation

coex-simulation simulates the relationship between single-cell events and bulk tissue expression profiles to clarify conditions under which intracellular regulatory signals propagate to the tissue level.

Key Features:

• Single-cell profile generation: The simulator first generates single cell expression profiles grounded in real data.
• Bulk tissue aggregation: The simulator samples and aggregates single cells to produce bulk tissue expression profiles.
• Regulatory signal propagation analysis: The framework quantifies conditions under which intracellular dynamic regulatory signals can propagate to the bulk tissue level.
• Co-expression network inference evaluation: The simulator provides tools to explore why regulatory network inference from co-expression has proved challenging.

Scientific Applications:

• Regulatory network inference assessment: Evaluates the detectability of intracellular regulatory relationships in bulk tissue co-expression data.
• Single-cell to bulk tissue translation: Explores theoretical relationships between single-cell events and bulk tissue expression profiles in complex tissues such as the brain.
• Multi-modal data integration guidance: Provides quantitative explanations for challenges in regulatory network inference even with assistance from other data modalities.

Methodology:

The simulator generates single cell expression profiles and subsequently samples and aggregates these single cells to produce bulk tissue expression profiles.