Signal Flow Analysis (SFA)

SFA is a simulation framework, which provides useful data structures and functions for efficiently analyzing signal flow in complex networks.

Features

• Convenient data structures for analyzing multiple datasets with multiple algorithms.
• Support for visualizing simulation results and signal flow.
• Parallel simulations using multiprocessing.
• User-defined algorithms or datasets.

Documentation

• Install
• Tutorials
  • Signal flow analysis
  • Discovery of control targets
• Data
• Algorithm
• Control
• Visualization
• Simulation
• Development
• API Reference

References

• Daewon Lee & Kwang-Hyun Cho. Topological estimation of signal flow in complex signaling networks. Scientific Reports (2018) 8:5262.
• Daewon Lee & Kwang-Hyun Cho. Signal flow control of complex signaling networks. Scientific Reports (2019) 9:14289.