This paper proposes a new method to evaluate the complexity of a Gene Regulatory Network (GRN). It is based on the generation of pictures. In addition to being visually interesting, the pictures shows the capacity of the GRN to produce smooth and/or sudden transitions, fractal-like complexity and regularities. We also have studied the influence of the size of the GRN on the complexity of pictures generated. © 2012 Massachusetts Institute of Technology.
CITATION STYLE
Cussat-Blanc, S., & Pollack, J. (2012). Using pictures to visualize the complexity of Gene Regulatory Networks. In Artificial Life 13: Proceedings of the 13th International Conference on the Simulation and Synthesis of Living Systems, ALIFE 2012 (pp. 491–498). MIT Press Journals. https://doi.org/10.7551/978-0-262-31050-5-ch064
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