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Disease Network Omics & Multi-Scale Integration Training | Disease Modules, Comorbidities & Multi-Layer Maps

NTHRYS >> Services >> Academic Services >> Training Programs >> Bioinformatics Training >> Systems Biology, Network Modeling & Pathway Informatics >> Disease Network Omics & Multi-Scale Integration Training | Disease Modules, Comorbidities & Multi-Layer Maps

Disease Network Omics & Multi-Scale Integration — Hands-on

Learn how to represent diseases as network modules and multi scale systems, from genes and proteins to pathways, tissues and patients. This module focuses on constructing disease centric networks, detecting disease modules, and integrating omics and phenotype layers into multi scale maps that support mechanism discovery, comorbidity analysis and precision stratification.

Disease Network Omics & Multi-Scale Integration
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Session 1
Fee: Rs 8800
Disease Network Omics Foundations
  • From single gene markers to disease networks and modules
  • diseases as network perturbations disease modules in interactomes co morbidities and shared mechanisms
  • Data layers for disease network omics (concept level)
  • disease gene associations and GWAS style hits PPI, pathway and regulatory networks clinical and phenotype descriptors
  • Toolchain for basic disease network representations
  • R / Python for graph data structures design of node and edge attributes simple disease neighbourhood plots
Session 2
Fee: Rs 11800
Disease Modules & Network Construction
  • Constructing disease centric networks in interactomes
  • mapping disease genes onto PPIs expanding modules via neighbours combining multiple disease gene sets
  • Disease module detection and neighbourhood analysis (concept level)
  • community and cluster style approaches distance and proximity measures disease overlap and comorbidity patterns
  • Implementation toolkit for disease module workflows
  • R igraph and Python networkx usage Cytoscape layouts for disease modules tables and figures for module summaries
Session 3
Fee: Rs 14800
Multi-Scale Integration: Genes to Patients
  • Connecting molecular modules with pathways and tissues
  • enriching disease modules in pathways tissue and cell type context overlays linking to organ and system level effects
  • Integrating omics and clinical layers around disease networks
  • expression and variant data around modules patient clusters and endotypes (concept level) comorbidity and drug mapping onto networks
  • Implementation toolkit for multi scale integration views
  • R / Python for multi layer summaries Cytoscape visual styles for multi scale nodes simple patient by network heatmaps
Session 4
Fee: Rs 18800
Mini Capstone: Disease Network & Multi-Scale Map
  • Build a disease network and module map for a chosen indication
  • Theory + Practical
  • Overlay omics, pathways and clinical features in a multi scale view
  • module level enrichment and scores patient or subgroup level summaries hypothesis statements on mechanisms
  • Deliverables: analysis notebook, network files & multi scale report
  • R or Python disease network notebook Cytoscape session / network exports PDF/HTML disease network omics summary


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