Analysis of complex networks : from biology to linguistics - download pdf or read online

By Matthias Dehmer, Frank Emmert-Streib

ISBN-10: 0470041447

ISBN-13: 9780470041444

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"Many difficulties from the lifestyles sciences will be solid right into a mathematical framework that's in response to a graph theoretic description. accordingly a radical realizing of such equipment is more and more very important for the information research and modeling of biochemical, organic and biomedical problems." "This booklet follows a brand new process together with graph conception from a mathematical viewpoint through learning functions of Read more...


Follows a brand new process of together with graph idea from a mathematical viewpoint with particular functions of graph thought in biomedical and computational sciences. Of ever expanding significance Read more...

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C. (2004) Robust perfect adaptation in bacterial chemotaxis through integral feedback control. Proc. Natl Acad. Sci. USA, 97 (9), 4649–4653. A. (2008) Convergence of molecular, modeling, and systems approaches for an understanding of the Escherichia coli heat shock response. Microbiol. Mol. Biol. , 72 (3), 545–554. Kitano, H. ) (2001) Foundations of Systems Biology, The MIT Press, Cambridge, pp. 1–36. D. (2004) Detection of multistability, bifurcations, and hysteresis in a large class of biological positive-feedback systems.

1993) Mathematical Biology, Springer, Heidelberg. C. (1993) Pattern formation outside of equilibrium. Rev. Mod. , 65 (3), 851–1112. R. (2003) Parameter estimation in biochemical pathways: A comparison of global optimization methods. , 13, 2467–2474. , Maiwald, T. (2007) Data-based identifiability analysis of non-linear dynamical models. Bioinformatics, 23, 2612–2618. , Meyer, T. (2009) Optimal experimental design for parameter estimation of a cell signaling model. PLoS Comput. , 5 (11), e1000558.

Although cellular stimulus–response patterns are highly coordinated, these patterns emerge from individual protein–protein interactions, which cannot be deduced from the high-throughput data. Hence, the question of gaining new biological knowledge on individual genes or proteins from this approach often remains open. Although knowledge-based bottom-up approaches of modeling possess a certain appeal to biologists, successful modeling needs to overcome the gaps in understanding. Most protein–protein interactions remain unknown, and the underlying physics of interacting molecules require better attention.

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Analysis of complex networks : from biology to linguistics by Matthias Dehmer, Frank Emmert-Streib

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