System modeling in cell biology : from concepts to nuts and bolts

System modeling in cell biology : from concepts to nuts and bolts

  • نوع فایل : کتاب
  • زبان : انگلیسی
  • مؤلف : Zoltan Szallasi; Jörg Stelling; Vipul Periwal
  • ناشر : Cambridge, Mass. : MIT Press
  • چاپ و سال / کشور: 2006
  • شابک / ISBN : 9780262195485

Description

The role of modeling in systems biology / Douglas B. Kell and Joshua D. Knowles -- Complexity and robustness of cellular systems / Jorg Stelling, Uwe Sauer, Francis J. Doyle III, and John Doyle -- On modules and modularity / Zoltan Szallasi, Vipul Periwal, and Jorg Stelling -- Bayesian inference of biological systems; the logic of biology / Vipul Periwal -- Stoichiometric and constraint-based modeling / Steffen Klant and Jorg Stelling -- Modeling molecular interaction networks with nonlinear ordinary differential equations / Emery D. Conrad and John J. Tyson -- Qualitiative approaches to the analysis of genetic regulatory networks / Hidde de Jong and Delphine Ropers -- Stochastic modeling of intracellular kinetics / Johan Paulsson and Johan Elf -- Kinetics in spatially extended systems / Karsten Kruse and Johan Elf -- Biological data acquisition for system level modeling -- an exercise in the art of compromise / Zoltan Szallasi -- Methods to identify cellular architecture and dynamics from experimental data / Rudiyanto Gunawan, Kapil G. Gadkar, and Francis J. Doyle III -- Using control theory to study biology / Brian P. Ingalls, Tau-Nu Yi, and Pablo A. Iglesias -- Synthetic gene regulatory systems / Mads Koern and Ron Weiss -- Multilevel modeling in systems biology : from cells to whole organs / Denis Noble -- Computational constraints on modeling in systems biology / Vipul Periwal -- Numerical simulation for biochemical kinetics / Daniel T. Gillespie and Linda R. Petzold -- Software infrastructure for effective communication and reuse of computational models / Andrew Finney ... [et al.].
An introduction and overview of system modeling in biology that is accessible to researchers from different fields, including biology, computer science, mathematics, statistics, physics, and biochemistry.
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