ICML'18 workshop - Evolutionary Strategy Gradient Decent for Designing Functional Gene Circuit

ICML-IJCAI Workshop 2018 (tensorflow version)

New Colab version

A Colab (online python 3 notebook version) could be found out here.

• ICML 2018 Workshop, Learning Functions in Large Networks requires Modularity and produces Multi-Agent Dynamics

We sincerely appreciate Dr. Hiscock for open source his original GeneNet code.

This repo was modified from his version. https://github.com/twhiscock/GeneNet-

His latest version of GeneNet https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6487017/

Adjacency-Matrix-Visualizer

A scalable tool to visualize the adjacency matrix with values on the edges, direction, and the sum of value as the node size.

• to use the Adjacency-Matrix-Visualizer. Please refer to .

• Put your matrix in Visualizer(martix) could get the scalable visualizatoin.

• 

Functional Dynamic Gene Circuit

• x-axis = input-level (concentration) & y-axis = level (feedback)

C. H. Huck Yang, Rise Ooi, Tom Hiscock, Vctor Eguluz and Jesper Tegner

https://arxiv.org/abs/1807.03001

Reference

If you find this useful in your work, please consider citing the following reference:

@article{yang2018learning,
  title={Learning Functions in Large Networks requires Modularity and produces Multi-Agent Dynamics},
  author={Yang, CH and Ooi, Rise and Hiscock, Tom and Eguiluz, Victor and Tegner, Jesper},
  journal={Workshop of Computational Biology, ICML 2018},
  year={2018}
}