The goal of this project is to use data integration and network analyses to discover disease mechanisms and potential treatments.
Disease knowledge-based networks reflect the current understanding of diseases between clinical phenotypes/symptoms, drugs, genotypes and other molecular interactions.
By applying network of biomedical knowledge to integrate clinical phenotypes and molecular signatures of ME/CFS, we hope to uncover disease gene modules and to prioritize drug candidates for repurposing to help disease symptoms and progression.
Knowledge-Based Network Medicine
Systems Biology Modeling of Metabolic Dysfunctions