dwgoon / sfa

A simulation framework to analyze signal flows in complex networks

Signal Flow Analysis (SFA)

A simulation framework to analyze signal flows in complex networks.

Features

• Estimate the signal flow using only the network topology.
• Calculate the influence using only the network topology.
• Suggest the control target candidates using only the network topology.
• Apply multiple algorithms to multiple datasets.
• Perform large-scale simulations with parallel processing.
• Support user-defined algorithms and datasets.

Python version

• Both Python 2 and 3 are supported.
• Some features such as parallel processing are supported only in the specific versions of Python.

Documentation

http://sfa.readthedocs.io

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
  

Any question or comment

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