Network Perturbation, Sensitivity & Robustness Analysis — Hands-on

Learn how to probe the stability and failure modes of biological networks under perturbations. This module covers systematic node and edge removal, sensitivity analysis on parameters and fluxes, robustness metrics and phenotype impact, with practical workflows in R, Python and Cytoscape on signaling, metabolic and protein interaction networks.

Network Perturbation, Sensitivity & Robustness Analysis

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Session Index

Session 1 — Network Perturbation Concepts & Scenarios Session 2 — Sensitivity Analysis & Parameter Scans Session 3 — Robustness Metrics & Failure Modes Session 4 — Mini Capstone: Perturbation & Robustness Study

Session 1

Fee: Rs 8800

Network Perturbation Concepts & Scenarios

Perturbations in biological networks — what and why

node removal (genes, proteins, metabolites) edge removal (interactions, reactions) random vs targeted attacks

Network types and perturbation use cases

PPI and gene regulatory networks metabolic and signaling networks disease and drug target networks

Toolchain for basic perturbation experiments on graphs

R igraph style workflows Python networkx usage Cytoscape manual perturbation views

Session 2

Fee: Rs 11800

Sensitivity Analysis & Parameter Scans

Sensitivity analysis ideas in network and dynamic models

local vs global sensitivity concepts parameter perturbations in ODE and FBA models response surfaces and gradients (concept level)

Practical sensitivity scans on network features and outputs

varying edge weights or capacities measuring impact on connectivity and paths simple sampling and perturbation grids

Implementation toolkit for sensitivity workflows

R / Python scripts for parameter sweeps plotting sensitivity profiles summary tables for key parameters

Session 3

Fee: Rs 14800

Robustness Metrics & Failure Modes

Defining robustness and fragility in networks

global vs local robustness views connectivity and giant component size shortest path and efficiency changes

Node importance, cascading failure and essentiality (concepts)

degree and betweenness insights targeted removal of hubs essential genes or reactions view

Implementation toolkit for robustness experiments and plots

R igraph / Python networkx metrics attack curves and robustness profiles Cytoscape visual encodings of vulnerable nodes

Session 4

Fee: Rs 18800

Mini Capstone: Perturbation & Robustness Study

Design and execute a perturbation and robustness study on a network

Theory + Practical

Compare random vs targeted attacks and summarise impact patterns

attack curves and robustness indices lists of critical nodes and edges biological interpretation of vulnerable points

Deliverables: notebook, robustness metrics & summary report

R or Python perturbation notebook CSV/TSV metrics and attack tables PDF/HTML robustness study summary

PDF

Network Perturbation, Sensitivity & Robustness Analysis Training | Attacks, Sensitivity Scans & Robustness Metrics

Network Perturbation, Sensitivity & Robustness Analysis — Hands-on