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Static and dynamic models of biological networks

✍ Scribed by Ashish Bhan; Eric Mjolsness

Publisher
John Wiley and Sons
Year
2006
Tongue
English
Weight
139 KB
Volume
11
Category
Article
ISSN
1076-2787

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✦ Synopsis

Abstract

We consider static and dynamic approaches to the specification of probability distributions on graphs, consistent with desired statistical properties such as degree distributions, for use in modeling biological networks. In the static approach we develop analytical approximations to the Hamiltonian and partition functions. In the dynamic approach, we use a stochastic parameterized grammar to construct an evolutionary tree in which the nodes represent elements such as genes or cells and the links represent inheritance relations between the nodes. The grammar then constructs a network based on the feature vectors of the nodes in the tree. Β© 2006 Wiley Periodicals, Inc. Complexity 11:57–63, 2006

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