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Network Medicine, Disease Modules & Comorbidity Graphs Training | Disease Networks & Multimorbidity

NTHRYS >> Services >> Academic Services >> Training Programs >> Bioinformatics Training >> Systems Biology, Network Medicine & Pathway Modeling >> Network Medicine, Disease Modules & Comorbidity Graphs Training | Disease Networks & Multimorbidity

Network Medicine, Disease Modules & Comorbidity Graphs — Hands-on

Learn how to apply network medicine concepts to real world omics and clinical data. This module covers disease module detection, comorbidity graphs and multi omics clinical integration so that you can move from gene lists to mechanism anchored disease neighbourhoods and prioritised targets.

Network Medicine, Disease Modules & Comorbidity Graphs
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Session 1
Fee: Rs 8800
Network Medicine Foundations & Disease Space
  • From single genes to network views of disease
  • disease neighbourhood and modules interactome and diseaseome ideas topology based intuition
  • Disease gene sets and phenotype resources
  • OMIM and GWAS Catalog basics ClinVar and disease annotations HPO and phenotype mappings
  • Representing diseases in network contexts
  • disease projection on PPI networks bipartite disease gene graphs disease disease similarity links
Session 2
Fee: Rs 11800
Disease Module Detection & Comorbidity Graphs
  • Disease module definition and detection strategies
  • seed expansion and random walk based ideas community detection in disease subnetworks enrichment and significance checks
  • Building and analysing comorbidity graphs
  • ICD based co occurrence networks shared genes and pathways links network structure of multimorbidity
  • Relating disease modules to comorbidity patterns
  • overlapping modules and shared hubs risk propagation on disease graphs implications for patient trajectories
Session 3
Fee: Rs 14800
Multi Omics & Clinical Integration in Network Medicine
  • Overlaying omics data on disease modules
  • differential expression and mutations proteomics and phospho overlays metabolomics and pathway shifts
  • Using EHR and cohort data with network views
  • mapping codes and labs to phenotypes cohort level comorbidity analysis stratifying patients by module burden
  • Prioritising mechanisms, biomarkers and targets
  • central nodes inside disease modules cross disease shared targets biomarker panels from modules
Session 4
Fee: Rs 18800
Mini Capstone: Disease Module & Comorbidity Map
  • Define a disease of interest and build its module
  • Theory + Practical
  • Construct a small comorbidity graph and link to the module
  • select major comorbid conditions overlay shared genes and pathways visualise the disease neighbourhood
  • Deliverables: network files, metrics tables and short report
  • Cytoscape session and layouts CSV of module nodes and scores interpretation and hypothesis notes


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