Publisher: CRC Press
ISBN: 9780849347726
Size: 69.90 MB
Format: PDF, Docs
Category : Science
Languages : en
Pages : 240
View: 2026
Book Description: Structured Biological Modelling presents a straightforward introduction for computer-aided analysis, mathematical modelling, and simulation of cell biological systems. This unique guide brings together the physiological, structural, molecular biological, and theoretical aspects of the signal transduction network that regulates growth and proliferation in normal and tumor cells. It provides comprehensive survey of functional and theoretical features of intracellular signal processing and introduces the concept of cellular self-organization. Exemplified by oscillatory calcium waves, strategies for the design of computer experiments are presented that can assist or even substitute for time-consuming biological experiments. The presented minimal model for proliferation-associated signal transduction clearly shows the alterations of the cellular signal network involved in neoplastic growth. This book will be useful to cell and molecular biologists, oncologists, physiologists, theoretical biologists, computer scientists, and all other researchers and students studying functional aspects of cellular signaling.
Structured Population Models In Biology And Epidemiology
Author: Pierre Magal
Publisher: Springer
ISBN: 3540782737
Size: 80.61 MB
Format: PDF, Kindle
Category : Mathematics
Languages : en
Pages : 302
View: 3784
Book Description: In this new century mankind faces ever more challenging environmental and publichealthproblems,suchaspollution,invasionbyexoticspecies,theem- gence of new diseases or the emergence of diseases into new regions (West Nile virus,SARS,Anthrax,etc.),andtheresurgenceofexistingdiseases(in?uenza, malaria, TB, HIV/AIDS, etc.). Mathematical models have been successfully used to study many biological, epidemiological and medical problems, and nonlinear and complex dynamics have been observed in all of those contexts. Mathematical studies have helped us not only to better understand these problems but also to ?nd solutions in some cases, such as the prediction and control of SARS outbreaks, understanding HIV infection, and the investi- tion of antibiotic-resistant infections in hospitals. Structuredpopulationmodelsdistinguishindividualsfromoneanother- cording to characteristics such as age, size, location, status, and movement, to determine the birth, growth and death rates, interaction with each other and with environment, infectivity, etc. The goal of structured population models is to understand how these characteristics a?ect the dynamics of these models and thus the outcomes and consequences of the biological and epidemiolo- cal processes. There is a very large and growing body of literature on these topics. This book deals with the recent and important advances in the study of structured population models in biology and epidemiology. There are six chapters in this book, written by leading researchers in these areas.
Publisher: Springer
ISBN: 3540782737
Size: 80.61 MB
Format: PDF, Kindle
Category : Mathematics
Languages : en
Pages : 302
View: 3784
Book Description: In this new century mankind faces ever more challenging environmental and publichealthproblems,suchaspollution,invasionbyexoticspecies,theem- gence of new diseases or the emergence of diseases into new regions (West Nile virus,SARS,Anthrax,etc.),andtheresurgenceofexistingdiseases(in?uenza, malaria, TB, HIV/AIDS, etc.). Mathematical models have been successfully used to study many biological, epidemiological and medical problems, and nonlinear and complex dynamics have been observed in all of those contexts. Mathematical studies have helped us not only to better understand these problems but also to ?nd solutions in some cases, such as the prediction and control of SARS outbreaks, understanding HIV infection, and the investi- tion of antibiotic-resistant infections in hospitals. Structuredpopulationmodelsdistinguishindividualsfromoneanother- cording to characteristics such as age, size, location, status, and movement, to determine the birth, growth and death rates, interaction with each other and with environment, infectivity, etc. The goal of structured population models is to understand how these characteristics a?ect the dynamics of these models and thus the outcomes and consequences of the biological and epidemiolo- cal processes. There is a very large and growing body of literature on these topics. This book deals with the recent and important advances in the study of structured population models in biology and epidemiology. There are six chapters in this book, written by leading researchers in these areas.
A Computational Model Of Structural Biological Experimental Data And Its Applications
Author: Michael Bada
Publisher:
ISBN:
Size: 15.61 MB
Format: PDF, Docs
Category :
Languages : en
Pages : 174
View: 7530
Book Description:
Publisher:
ISBN:
Size: 15.61 MB
Format: PDF, Docs
Category :
Languages : en
Pages : 174
View: 7530
Book Description:
Selected Water Resources Abstracts
Author:
Publisher:
ISBN:
Size: 20.88 MB
Format: PDF, Kindle
Category : Water
Languages : en
Pages :
View: 6046
Book Description:
Publisher:
ISBN:
Size: 20.88 MB
Format: PDF, Kindle
Category : Water
Languages : en
Pages :
View: 6046
Book Description:
Journal Of Mathematical Biology
Author:
Publisher:
ISBN:
Size: 58.84 MB
Format: PDF, Mobi
Category : Biological models
Languages : en
Pages :
View: 1602
Book Description:
Publisher:
ISBN:
Size: 58.84 MB
Format: PDF, Mobi
Category : Biological models
Languages : en
Pages :
View: 1602
Book Description:
Biological Kinetics
Author: Lee A. Segel
Publisher: Cambridge University Press
ISBN: 9780521391849
Size: 44.12 MB
Format: PDF, ePub, Mobi
Category : Mathematics
Languages : en
Pages : 220
View: 7657
Book Description: This book demonstrates how an understanding of biological kinetics can lead to knowledge about the biological model being examined.
Publisher: Cambridge University Press
ISBN: 9780521391849
Size: 44.12 MB
Format: PDF, ePub, Mobi
Category : Mathematics
Languages : en
Pages : 220
View: 7657
Book Description: This book demonstrates how an understanding of biological kinetics can lead to knowledge about the biological model being examined.
Selected Water Resources Abstracts
Author:
Publisher:
ISBN:
Size: 48.82 MB
Format: PDF, ePub, Mobi
Category : Water
Languages : en
Pages :
View: 2437
Book Description:
Publisher:
ISBN:
Size: 48.82 MB
Format: PDF, ePub, Mobi
Category : Water
Languages : en
Pages :
View: 2437
Book Description:
Biological Signals
Author:
Publisher:
ISBN:
Size: 17.64 MB
Format: PDF
Category : Biological control systems
Languages : en
Pages :
View: 3361
Book Description:
Publisher:
ISBN:
Size: 17.64 MB
Format: PDF
Category : Biological control systems
Languages : en
Pages :
View: 3361
Book Description:
Mathematical Models In Biology
Author: Elizabeth S. Allman
Publisher: Cambridge University Press
ISBN: 9780521525862
Size: 34.95 MB
Format: PDF, Kindle
Category : Mathematics
Languages : en
Pages : 370
View: 2930
Book Description: Linear and non-linear models of populations, molecular evolution, phylogenetic tree construction, genetics, and infectious diseases are presented with minimal prerequisites.
Publisher: Cambridge University Press
ISBN: 9780521525862
Size: 34.95 MB
Format: PDF, Kindle
Category : Mathematics
Languages : en
Pages : 370
View: 2930
Book Description: Linear and non-linear models of populations, molecular evolution, phylogenetic tree construction, genetics, and infectious diseases are presented with minimal prerequisites.
Stochastic Modelling For Systems Biology Second Edition
Author: Darren J. Wilkinson
Publisher: CRC Press
ISBN: 1439837724
Size: 22.43 MB
Format: PDF, ePub, Docs
Category : Mathematics
Languages : en
Pages : 363
View: 6733
Book Description: 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.
Publisher: CRC Press
ISBN: 1439837724
Size: 22.43 MB
Format: PDF, ePub, Docs
Category : Mathematics
Languages : en
Pages : 363
View: 6733
Book Description: 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.
