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Titlebook: Chemical Master Equation for Large Biological Networks; State-space Expansio Don Kulasiri,Rahul Kosarwal Book 2021 The Editor(s) (if applic

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發(fā)表于 2025-3-21 18:18:57 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書目名稱Chemical Master Equation for Large Biological Networks
副標(biāo)題State-space Expansio
編輯Don Kulasiri,Rahul Kosarwal
視頻videohttp://file.papertrans.cn/225/224362/224362.mp4
概述Highlights the theory and applications of the chemical master equation (CME) for very large biochemical networks.Discusses the novel method comprehensively, underlining the interdisciplinary approach
圖書封面Titlebook: Chemical Master Equation for Large Biological Networks; State-space Expansio Don Kulasiri,Rahul Kosarwal Book 2021 The Editor(s) (if applic
描述.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.. .
出版日期Book 2021
關(guān)鍵詞Biochemical networks; Markov processes; Bayesian methods; Artificial intelligence; Bionetworks; Model bui
版次1
doihttps://doi.org/10.1007/978-981-16-5351-3
isbn_softcover978-981-16-5353-7
isbn_ebook978-981-16-5351-3
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapor
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https://doi.org/10.1007/978-981-16-5351-3Biochemical networks; Markov processes; Bayesian methods; Artificial intelligence; Bionetworks; Model bui
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978-981-16-5353-7The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapor
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K. Goeke,H. -C. Kim,A. Silva,D. Urbanoprobabilities of the species by implementing and integrating the mathematical model of the G1/S cell-cycle checkpoint involving the DNA-damage signal transduction pathway. The mathematical model is based on chemical kinetic principles for simulating pathways to show the dynamic behaviour of a cell c
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