Welcome to BNMPy’s documentation!

BNMPy is a Python library for Boolean Network (BN) and Probabilistic Boolean Network (PBN) modeling, simulation, optimization, and analysis with applications in systems biology. It also supports building models from knowledge graphs and integrating them with BNs and PBNs. For more details, please refer to the GitHub repository.

Documentation

User Guide:

• Getting Started
  • Installation
  • Quick Start
  • Basic Simulation
  • Network Visualization
  • Probabilistic Boolean Networks
  • Network Manipulation
  • Next Steps
  • Examples
  • Applications
• BNMPy Optimizer
  • Installation
  • Usage
  • Model Compression
  • Sensitivity Analysis
  • References
• Steady State Calculation Guide
  • SteadyStateCalculator for BNMPy

API Reference:

• API Reference
  • Core Modules
  • Visualization
  • Knowledge Graph Integration
  • Optimization Modules

Indices and tables

• Index

• Module Index

• Search Page