Titlebook: Complex Systems Science in Biomedicine; Thomas S. Deisboeck (Assistant Professor of Radiol Book 20061st edition Springer-Verlag US 2006 Ne

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The Architecture of Biological Networksdifferent interacting units, it has become clear that the topology of networks of different biological origin share the same characteristics on the large scale. In this chapter, we survey the most prominent characteristics of biological networks, focusing on the emergence of the scale-free architecture and the hierarchical arrangement of modules.

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Biomedicine. covers the emerging field of systems science involving the application of physics, mathematics, engineering and computational methods and techniques to the study of biomedicine including nonlinear dynamics at the molecular, cellular, multi-cellular tissue, and organismic level. With all

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Methods and Techniques of Complex Systems Science: An Overviewseries analysis; cellular automata; agent-based models; the evaluation of complex-systems models; information theory; and ways of measuring complexity. Throughout, I give only rough outlines of techniques, so that readers, confronted with new problems, will have a sense of which ones might be suitable, and which ones definitely are not.

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Nonlinear Dynamical Systemsn oscillator to spatiotemporal modes and chaos in large systems, and to multiple attractors in complex Boolean networks. The goal is to give readers less familiar with nonlinear dynamics a conceptual framework for understanding other chapters in this volume.

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Ceremony

Joseph S. Furse,Emily Yoshikawa-Rueschection of how closely my thinking is associated with the thoughts of Ludwig von Bertalanffy, Ervin Laszlo, and Robert Rosen. We are, by all accounts, at the threshold of a postgenomic era that truly belongs to the biology of systems.

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https://doi.org/10.1007/978-3-658-38589-7d Processing, and the Extended Phenotype. I present case studies in which mechanisms representative of each principle are described. These case studies serve to illustrate the ubiquity of specialized robustness mechanisms in all complex biosystems.