Renormalization Group Transformation for Hamiltonian Dynamical Systems in Biological Networks
Other Quantitative Biology
2016-09-13 v1 Disordered Systems and Neural Networks
Dynamical Systems
Abstract
We apply the renormalization group theory to the dynamical systems with the simplest example of basic biological motifs. This includes the interpretation of complex networks as the perturbation to simple network. This is the first step to build our original framework to infer the properties of biological networks, and the basis work to see its effectiveness to actual complex systems.
Keywords
Cite
@article{arxiv.1609.02981,
title = {Renormalization Group Transformation for Hamiltonian Dynamical Systems in Biological Networks},
author = {Masamichi Sato},
journal= {arXiv preprint arXiv:1609.02981},
year = {2016}
}