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Physics-based dynamic PCA for modeling stochastic reaction networks with TensorFlow

This is the source repo. for the physDBD Python package. It allows the creation of physics-based machine learning models in TensorFlow for modeling stochastic reaction networks.

Quickstart

  1. Install:

    pip install physDBD
    
  2. See the example notebook in the GitHub repo..

  3. Read the documentation.

Further information

See the project's GitHub page or this paper for technical details:

O. K. Ernst, T. Bartol, T. Sejnowski and E. Mjolsness. Physics-based machine learning for modeling stochastic IP3-dependent calcium dynamics. arXiv:2109.05053