Modeling Methods for Medical Systems Biology, Mar?a Elena ?lvarez-Buylla Roces; Juan Carlos Mart

Автор: Gustavii
Название: How to Prepare a Scientific Doctoral Dissertation Based on Research Articles
ISBN: 1107669049 ISBN-13(EAN): 9781107669048
Издательство: Cambridge Academ
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Цена: 22170.00 T
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Описание: The article-based thesis is becoming increasingly common, especially in the `hard` sciences such as biology, medicine and technology. Detailing examples of good versus bad practice, this concise, easy-to-read guide shows the PhD student how to prepare a thesis in this format.

Автор: Dillon Patrick F
Название: Biophysics A Physiological Approach
ISBN: 0521172160 ISBN-13(EAN): 9780521172165
Издательство: Cambridge Academ
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Цена: 39920.00 T
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Описание: Specifically tailored to life science students, this textbook outlines the important physical ideas, equations and examples at the heart of contemporary physiology, along with the organization necessary to understand that knowledge. The equations are designed to help students understand biological principles, with a particular emphasis on human biology.

Автор: ?lvarez-Buylla Roces
Название: Modeling Methods for Medical Systems Biology
ISBN: 331989353X ISBN-13(EAN): 9783319893532
Издательство: Springer
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Цена: 93160.00 T
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Описание: This book contributes to better understand how lifestyle modulations can effectively halt the emergence and progression of human diseases. The book will allow the reader to gain a better understanding of the mechanisms by which the environment interferes with the bio-molecular regulatory processes underlying the emergence and progression of complex diseases, such as cancer. Focusing on key and early cellular bio-molecular events giving rise to the emergence of degenerative chronic disease, it builds on previous experience on the development of multi-cellular organisms, to propose a mathematical and computer based framework that allows the reader to analyze the complex interplay between bio-molecular processes and the (micro)-environment from an integrative, mechanistic, quantitative and dynamical perspective. Taking the wealth of empirical evidence that exists it will show how to build and analyze models of core regulatory networks involved in the emergence and progression of chronic degenerative diseases, using a bottom-up approach.

Автор: Saad, Yousef
Название: Iterative Methods for Sparse Linear Systems, 2 ed.
ISBN: 0898715342 ISBN-13(EAN): 9780898715347
Издательство: Wiley
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Цена: 180230.00 T
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Описание: This second edition gives an in-depth, up-to-date view of practical algorithms for solving large-scale linear systems of equations.

Автор: Deutsch, A.; Bravo de la Parra, R.; de Boer, R.J.; Diekmann, O.; Jagers, P.; Kisdi, E.; Kretzschmar, M.; Lansky, P.; Metz, H. (Eds.)
Название: Mathematical Modeling of Biological Systems, Volume II Epidemiology, Evolution and Ecology, Immunology, Neural Systems and the Brain, and Innovative Mathematical Methods
ISBN: 0817645551 ISBN-13(EAN): 9780817645557
Издательство: Springer
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Цена: 121110.00 T
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Описание: Presents a broad range of topics in the field of mathematical modeling in the biological sciences. This work examines the central problems in the life sciences, ranging from the organizational principles of individual cells to the dynamics of large populations.

Автор: Angela Re
Название: Inference and computational modeling in molecular systems biology
ISBN: 0081000952 ISBN-13(EAN): 9780081000953
Издательство: Elsevier Science
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Цена: 170680.00 T
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Computational Systems Biology: Inference and Modelling provides an introduction to, and overview of, network analysis inference approaches which form the backbone of the model of the complex behavior of biological systems.

Автор: Ina Koch; Wolfgang Reisig; Falk Schreiber
Название: Modeling in Systems Biology
ISBN: 1447125983 ISBN-13(EAN): 9781447125983
Издательство: Springer
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Цена: 144410.00 T
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Описание: This essential reference presents a comprehensive overview of cutting-edge research in applications of Petri nets in systems biology. The book will enable readers to apply and develop their own biochemical models using Petri net techniques.

Автор: David Holcman
Название: Stochastic Processes, Multiscale Modeling, and Numerical Methods for Computational Cellular Biology
ISBN: 3319626264 ISBN-13(EAN): 9783319626260
Издательство: Springer
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Цена: 102480.00 T
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Описание: Part I: Stochastic Chemical Reactions.- Test Models for Statistical Inference: Two-Dimensional Reaction Systems Displaying Limit Cycle Bifurcations and Bistability.- Importance Sampling for Metastable and Multiscale Dynamical Systems.- Multiscale Simulation of Stochastic Reaction-diffusion Networks.- Part II: Stochastic Numerical Approaches, Algorithms and Coarse-Grained Simulations.- Numerical Methods for Ergodic SDEs: When Stochastic Integration Meets Geometric Integration.- Stability and Strong Convergence for Spatial Stochastic Kinetics.- The T cells in an Ageing Virtual Mouse.- Part III: Analysis of Stochastic Dynamical Systems for Modeling Cell Biology.- Model reduction for Stochastic Reaction Systems.- ZI-closure Scheme: A Method to Solve and Study Stochastic Reaction Networks.- Deterministic and Stochastic Becker-Dцring Equations: Past and Recent Mathematical Developments.- Coagulation-Fragmentation with a Finite Number of Particles: Models, Stochastic Analysis and Applications to Telomere Clustering and Viral Capsid Assembly.- A Review of Stochastic and Delay Simulation Approaches in both Time and Space in Computational Cell Biology.- Part IV: Diffusion Processes and Stochastic Modeling.- Recent Mathematical Models of Axonal Transport.- Stochastic Models for Evolving Cellular Populations of Mitochondria: Disease, Development, and Ageing.- Modeling and Stochastic Analysis of the Single Photon Response.- A Phenomenological Spatial Model for Macro-ecological Patterns in Species-rich Ecosystems.