Practical Research Use Cases:
🎯 Find Therapeutic Targets:
Set Betweenness Centrality > 0.002 and Node Degree > 3. These high-traffic nodes control information flow between pathway modules—disrupting them could have broad therapeutic impact.
🔬 Identify Most Affected Tissues:
Set Node Degree > 200. Tissues with many pathway connections are likely experiencing the most dysregulation in severe COVID-19 (top nodes).
🧬 Discover Master Regulators:
Set Authority > 0.002 and Closeness Centrality > 0.37. These pathways are both highly referenced and centrally positioned—prime candidates for mechanistic studies.
💊 Prioritize Drug Repurposing:
Set Hub > 0.035 and Harmonic Closeness > 0.40. Hub tissues connecting authoritative pathways are ideal for drugs that modulate multiple disease mechanisms.
🔍 Explore Moderately Connected Tissues:
Set Node Degree = 2-5 and Authority > 0.001. Find moderately connected tissues with biological significance—potential tissue-specific interventions.
⚡ Find Critical Bottlenecks:
Set Betweenness Centrality > 0.001 with Node Degree < 5. These sparse connectors are critical chokepoints whose failure disrupts pathway crosstalk.
🧪 Top COVID Pathways:
Set Closeness Centrality > 0.42. Top-ranked nodes with published COVID-19 studies to validate your analysis.
