Workshop On Stochastic Modelling In Biology Relevant Mathematical Concepts And Recent Applications Heidelberg Federal Republic Of Germany 8 12 August 1988 PDF Download
Are you looking for read ebook online? Search for your book and save it on your Kindle device, PC, phones or tablets. Download Workshop On Stochastic Modelling In Biology Relevant Mathematical Concepts And Recent Applications Heidelberg Federal Republic Of Germany 8 12 August 1988 PDF full book. Access full book title Workshop On Stochastic Modelling In Biology Relevant Mathematical Concepts And Recent Applications Heidelberg Federal Republic Of Germany 8 12 August 1988.
| Author | : Tautu Petre |
| Publisher | : #N/A |
| Total Pages | : 456 |
| Release | : 1990-12-05 |
| Genre | : |
| ISBN | : 9814611921 |
Download Stochastic Modelling In Biology: Relevant Mathematical Concepts And Recent Applications Book in PDF, ePub and Kindle
These proceedings focus on future prospects as well as on the present status in some important areas of applied probability and mathematical biology. Some papers have educational intentions regarding the mathematical modelling of special biological situations. The workshop was the third one in Heidelberg dealing with stochastic modelling in biology, e.g., cell biology, embryology, oncology, epidemiology and genetics.
| Author | : New York Public Library. Research Libraries |
| Publisher | : |
| Total Pages | : 538 |
| Release | : 1976 |
| Genre | : Congresses and conventions |
| ISBN | : |
Download Bibliographic Guide to Conference Publications Book in PDF, ePub and Kindle
Vols. for 1975- include publications cataloged by the Research Libraries of the New York Public Library with additional entries from the Library of Congress MARC tapes.
| Author | : Mostafa Bachar |
| Publisher | : Springer |
| Total Pages | : 206 |
| Release | : 2012-10-18 |
| Genre | : Mathematics |
| ISBN | : 9783642321566 |
Download Stochastic Biomathematical Models Book in PDF, ePub and Kindle
Stochastic biomathematical models are becoming increasingly important as new light is shed on the role of noise in living systems. In certain biological systems, stochastic effects may even enhance a signal, thus providing a biological motivation for the noise observed in living systems. Recent advances in stochastic analysis and increasing computing power facilitate the analysis of more biophysically realistic models, and this book provides researchers in computational neuroscience and stochastic systems with an overview of recent developments. Key concepts are developed in chapters written by experts in their respective fields. Topics include: one-dimensional homogeneous diffusions and their boundary behavior, large deviation theory and its application in stochastic neurobiological models, a review of mathematical methods for stochastic neuronal integrate-and-fire models, stochastic partial differential equation models in neurobiology, and stochastic modeling of spreading cortical depression.
| Author | : Darren J. Wilkinson |
| Publisher | : CRC Press |
| Total Pages | : 365 |
| Release | : 2011-11-09 |
| Genre | : Mathematics |
| ISBN | : 1439837724 |
Download Stochastic Modelling for Systems Biology, Second Edition Book in PDF, ePub and Kindle
Since the first edition of Stochastic Modelling for Systems Biology, there have been many interesting developments in the use of "likelihood-free" methods of Bayesian inference for complex stochastic models. Re-written to reflect this modern perspective, this second edition covers everything necessary for a good appreciation of stochastic kinetic modelling of biological networks in the systems biology context. Keeping with the spirit of the first edition, all of the new theory is presented in a very informal and intuitive manner, keeping the text as accessible as possible to the widest possible readership. New in the Second Edition All examples have been updated to Systems Biology Markup Language Level 3 All code relating to simulation, analysis, and inference for stochastic kinetic models has been re-written and re-structured in a more modular way An ancillary website provides links, resources, errata, and up-to-date information on installation and use of the associated R package More background material on the theory of Markov processes and stochastic differential equations, providing more substance for mathematically inclined readers Discussion of some of the more advanced concepts relating to stochastic kinetic models, such as random time change representations, Kolmogorov equations, Fokker-Planck equations and the linear noise approximation Simple modelling of "extrinsic" and "intrinsic" noise An effective introduction to the area of stochastic modelling in computational systems biology, this new edition adds additional mathematical detail and computational methods that will provide a stronger foundation for the development of more advanced courses in stochastic biological modelling.
| Author | : Darren J. Wilkinson |
| Publisher | : CRC Press |
| Total Pages | : 292 |
| Release | : 2018-12-07 |
| Genre | : Mathematics |
| ISBN | : 1351000896 |
Download Stochastic Modelling for Systems Biology, Third Edition Book in PDF, ePub and Kindle
Since the first edition of Stochastic Modelling for Systems Biology, there have been many interesting developments in the use of "likelihood-free" methods of Bayesian inference for complex stochastic models. Having been thoroughly updated to reflect this, this third edition covers everything necessary for a good appreciation of stochastic kinetic modelling of biological networks in the systems biology context. New methods and applications are included in the book, and the use of R for practical illustration of the algorithms has been greatly extended. There is a brand new chapter on spatially extended systems, and the statistical inference chapter has also been extended with new methods, including approximate Bayesian computation (ABC). Stochastic Modelling for Systems Biology, Third Edition is now supplemented by an additional software library, written in Scala, described in a new appendix to the book. New in the Third Edition New chapter on spatially extended systems, covering the spatial Gillespie algorithm for reaction diffusion master equation models in 1- and 2-d, along with fast approximations based on the spatial chemical Langevin equation Significantly expanded chapter on inference for stochastic kinetic models from data, covering ABC, including ABC-SMC Updated R package, including code relating to all of the new material New R package for parsing SBML models into simulatable stochastic Petri net models New open-source software library, written in Scala, replicating most of the functionality of the R packages in a fast, compiled, strongly typed, functional language Keeping with the spirit of earlier editions, all of the new theory is presented in a very informal and intuitive manner, keeping the text as accessible as possible to the widest possible readership. An effective introduction to the area of stochastic modelling in computational systems biology, this new edition adds additional detail and computational methods that will provide a stronger foundation for the development of more advanced courses in stochastic biological modelling.
| Author | : Johannes Müller |
| Publisher | : Springer |
| Total Pages | : 721 |
| Release | : 2015-08-13 |
| Genre | : Mathematics |
| ISBN | : 3642272517 |
Download Methods and Models in Mathematical Biology Book in PDF, ePub and Kindle
This book developed from classes in mathematical biology taught by the authors over several years at the Technische Universität München. The main themes are modeling principles, mathematical principles for the analysis of these models and model-based analysis of data. The key topics of modern biomathematics are covered: ecology, epidemiology, biochemistry, regulatory networks, neuronal networks and population genetics. A variety of mathematical methods are introduced, ranging from ordinary and partial differential equations to stochastic graph theory and branching processes. A special emphasis is placed on the interplay between stochastic and deterministic models.
| Author | : Paola Lecca |
| Publisher | : Elsevier |
| Total Pages | : 411 |
| Release | : 2013-04-09 |
| Genre | : Mathematics |
| ISBN | : 1908818212 |
Download Deterministic Versus Stochastic Modelling in Biochemistry and Systems Biology Book in PDF, ePub and Kindle
Stochastic kinetic methods are currently considered to be the most realistic and elegant means of representing and simulating the dynamics of biochemical and biological networks. Deterministic versus stochastic modelling in biochemistry and systems biology introduces and critically reviews the deterministic and stochastic foundations of biochemical kinetics, covering applied stochastic process theory for application in the field of modelling and simulation of biological processes at the molecular scale. Following an overview of deterministic chemical kinetics and the stochastic approach to biochemical kinetics, the book goes onto discuss the specifics of stochastic simulation algorithms, modelling in systems biology and the structure of biochemical models. Later chapters cover reaction-diffusion systems, and provide an analysis of the Kinfer and BlenX software systems. The final chapter looks at simulation of ecodynamics and food web dynamics. Introduces mathematical concepts and formalisms of deterministic and stochastic modelling through clear and simple examples Presents recently developed discrete stochastic formalisms for modelling biological systems and processes Describes and applies stochastic simulation algorithms to implement a stochastic formulation of biochemical and biological kinetics
| Author | : Marius Iosifescu |
| Publisher | : Springer |
| Total Pages | : 0 |
| Release | : 1973-07-25 |
| Genre | : Mathematics |
| ISBN | : 9783540062714 |
Download Stochastic processes and applications in biology and medicine II Book in PDF, ePub and Kindle
This volume is a revised and enlarged version of Chapter 3 of. a book with the same title, published in Romanian in 1968. The revision resulted in a new book which has been divided into two of the large amount of new material. The whole book parts because is intended to introduce mathematicians and biologists with a strong mathematical background to the study of stochastic processes and their applications in biological sciences. It is meant to serve both as a textbook and a survey of recent developments. Biology studies complex situations and therefore needs skilful methods of abstraction. Stochastic models, being both vigorous in their specification and flexible in their manipulation, are the most suitable tools for studying such situations. This circumstance deter mined the writing of this volume which represents a comprehensive cross section of modern biological problems on the theory of stochastic processes. Because of the way some specific problems have been treat ed, this volume may also be useful to research scientists in any other field of science, interested in the possibilities and results of stochastic modelling. To understand the material presented, the reader needs to be acquainted with probability theory, as given in a sound introductory course, and be capable of abstraction.
| Author | : Marius Iosifescu |
| Publisher | : Springer |
| Total Pages | : 0 |
| Release | : 1973-07-25 |
| Genre | : Mathematics |
| ISBN | : 9783540062714 |
Download Stochastic processes and applications in biology and medicine II Book in PDF, ePub and Kindle
This volume is a revised and enlarged version of Chapter 3 of. a book with the same title, published in Romanian in 1968. The revision resulted in a new book which has been divided into two of the large amount of new material. The whole book parts because is intended to introduce mathematicians and biologists with a strong mathematical background to the study of stochastic processes and their applications in biological sciences. It is meant to serve both as a textbook and a survey of recent developments. Biology studies complex situations and therefore needs skilful methods of abstraction. Stochastic models, being both vigorous in their specification and flexible in their manipulation, are the most suitable tools for studying such situations. This circumstance deter mined the writing of this volume which represents a comprehensive cross section of modern biological problems on the theory of stochastic processes. Because of the way some specific problems have been treat ed, this volume may also be useful to research scientists in any other field of science, interested in the possibilities and results of stochastic modelling. To understand the material presented, the reader needs to be acquainted with probability theory, as given in a sound introductory course, and be capable of abstraction.
| Author | : Mukhtar Ullah |
| Publisher | : Springer |
| Total Pages | : 0 |
| Release | : 2014-10-01 |
| Genre | : Mathematics |
| ISBN | : 9781489994912 |
Download Stochastic Approaches for Systems Biology Book in PDF, ePub and Kindle
This textbook focuses on stochastic analysis in systems biology containing both the theory and application. While the authors provide a review of probability and random variables, subsequent notions of biochemical reaction systems and the relevant concepts of probability theory are introduced side by side. This leads to an intuitive and easy-to-follow presentation of stochastic framework for modeling subcellular biochemical systems. In particular, the authors make an effort to show how the notion of propensity, the chemical master equation and the stochastic simulation algorithm arise as consequences of the Markov property. The text contains many illustrations, examples and exercises to illustrate the ideas and methods that are introduced. Matlab code is also provided where appropriate. Additionally, the cell cycle is introduced as a more complex case study. Senior undergraduate and graduate students in mathematics and physics as well as researchers working in the area of systems biology, bioinformatics and related areas will find this text useful.
