Chemical Master Equation for Large Biological Networks

State-space Expansion Methods Using AI

Rahul Kosarwal, Don Kulasiri

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ca. 139,09

Springer Singapore img Link Publisher

Naturwissenschaften, Medizin, Informatik, Technik / Theoretische Physik

Beschreibung

This book highlights the theory and practical applications of the chemical master equation (CME) approach for very large biochemical networks, which provides a powerful general framework for model building in a variety of biological networks. The aim of the book is to not only highlight advanced numerical solution methods for the CME, but also reveal their potential by means of practical examples. The case studies presented are mainly from biology; however, the applications from novel methods are discussed comprehensively, underlining the interdisciplinary approach in simulation and the potential of the chemical master equation approach for modelling bionetworks. The book is a valuable guide for researchers, graduate students, and professionals alike.

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Schlagwörter

Markov graphs, Markov tree, Artificial intelligence, Numerical simulations, Biochemical networks, Modeling and integration, Bayesian methods, Bionetworks, Model building, Markov processes