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Introduction to RISK

RISK (Regional Inference of Significant Kinships) is a next-generation tool for biological network annotation and visualization. It integrates advanced clustering, statistically rigorous overrepresentation analysis, and high-resolution plotting to uncover structured relationships in complex networks.

RISK is designed to:

  • Identify biologically meaningful modules in large-scale networks
  • Perform fast and flexible overrepresentation testing
  • Generate publication-ready visualizations
  • Scale to hundreds of thousands of edges on standard hardware
  • Generalize beyond biology to interdisciplinary networks

What makes RISK different?

Feature RISK
Clustering Louvain, Leiden, Markov, Spinglass, etc.
Statistics Permutation, hypergeometric, chi-squared, z, etc.
File Formats NetworkX, Cytoscape (.cys, .cyjs), GPickle
Annotation JSON, CSV, Excel, TSV, Python dict
Scalability Networks with 500k+ edges on standard hardware
Visual Output High-resolution SVG, PNG, PDF, etc.
Beyond Biology Used on physics citation network (Supp. Fig. S9)

Example Applications

  • Functional module identification in yeast PPI and GI networks
  • Synthetic lethality pathway mapping
  • Drug-target prediction via annotation overrepresentation
  • Cross-domain network exploration in physics and other disciplines

For more examples, see 7. Advanced Plotting.


Full Interactive Example

For a full interactive workflow, see tutorial.html, which walks through all key steps—from loading a network to generating publication-quality figures—in a single notebook. You can also download the notebook and data as a ZIP.

The notebook focuses on a curated yeast PPI network (Michaelis et al., 2023), filtered to retain proteins with six or more interactions (2,059 nodes, 27,690 edges). Throughout the tutorial, we showcase:

  • Network clustering and module detection
  • Annotation-based overrepresentation analysis
  • Interactive and advanced visualization features
  • Exporting parameters and reproducibility tools

This notebook complements the Markdown documentation in this repository, but does not follow a strict 1-to-1 mapping. Use it for end-to-end examples and contextual guidance.

You can also launch the Quickstart notebook on Binder for a fully interactive experience without installing anything locally.


Getting Started

Continue to 1. Installation to install RISK and set up your environment.