Loading Video...
NTHRYS
Arrow

Model Identifiability, Sensitivity & Uncertainty Training | Reliable Systems Biology Models

NTHRYS >> Services >> Academic Services >> Training Programs >> Bioinformatics Training >> Systems Biology, Network Modeling & Pathway Dynamics >> Model Identifiability, Sensitivity & Uncertainty Training | Reliable Systems Biology Models

Model Identifiability, Sensitivity & Uncertainty — Hands-on

Learn how to evaluate the reliability of systems biology models via identifiability, sensitivity and uncertainty analysis. This module covers structural vs practical identifiability, local and global sensitivity methods, uncertainty propagation and how to communicate model confidence in research and translational settings.

Model Identifiability, Sensitivity & Uncertainty
Help Desk · WhatsApp
Session 1
Fee: Rs 8800
Identifiability Concepts & Diagnostics
  • What identifiability means for biological models
  • parameter vs prediction focus structural vs practical identifiability role of data richness
  • Simple examples of identifiable and non identifiable models
  • lumped vs separate parameters observability and measurements design intuition from examples
  • Basic diagnostics and red flags in practice
  • flat cost surfaces non unique parameter sets correlated parameters
Session 2
Fee: Rs 11800
Local Sensitivity Analysis
  • Local sensitivity coefficients and interpretation
  • dimensionless sensitivities time dependent profiles ranking influential parameters
  • Computation via finite differences and built in tools
  • forward difference basics step size considerations automatic differentiation overview
  • Using local sensitivity for experiment design ideas
  • which parameters need better data candidate readouts prioritizing perturbations
Session 3
Fee: Rs 14800
Global Sensitivity & Uncertainty Propagation
  • Global sensitivity concepts and sampling strategies
  • parameter ranges and priors Latin hypercube sampling Monte Carlo basics
  • Sobol style indices and variance based methods
  • first order and total effects interaction insights interpretation for modelers
  • Uncertainty propagation to model outputs
  • prediction bands and envelopes quantiles and credible intervals communicating uncertainty clearly
Session 4
Fee: Rs 18800
Mini Capstone: Reliability Assessment of a Model
  • Select an ODE or FBA linked model and define reliability questions
  • Theory plus guided practical
  • Perform sensitivity and basic uncertainty analysis on key outputs
  • local sensitivity profiles simple global screening prediction bands for outputs
  • Deliverables: notebook, summary tables and reliability note
  • Python or R notebook CSV of sensitivity metrics PDF or HTML reliability summary


PDF