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Chemical master equation for large b...

Kulasiri, Don.

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Chemical master equation for large biological networks = state-space expansion methods using AI /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Chemical master equation for large biological networks/ by Don Kulasiri, Rahul Kosarwal.
其他題名:	state-space expansion methods using AI /
作者:	Kulasiri, Don.
其他作者:	Kosarwal, Rahul.
出版者:	Singapore :Springer Singapore : : 2021.,
面頁冊數:	xviii, 217 p. :ill., digital ;24 cm.
內容註:	1. Introduction -- 2. A Review and Challenges in Chemical Master Equation -- 3. Visualizing Markov Process through Graphs and Trees -- 4. Intelligent State Projection -- 5. Comparative Study And Analysis of Methods and Models -- 6. A Large Model Case Study: Solving CME for G1/S Checkpoint Involving the DNA-damage Signal Transduction Pathway -- 7. An Integrated Large Model Case Study: Solving CME for Oxidative Stress Adaptation in the Fungal Pathogen Candida Albicans.
Contained By:	Springer Nature eBook
標題:	Biochemistry. -
電子資源:	https://doi.org/10.1007/978-981-16-5351-3
ISBN:	9789811653513

Chemical master equation for large biological networks = state-space expansion methods using AI /
Kulasiri, Don.

Chemical master equation for large biological networksstate-space expansion methods using AI /[electronic resource] :by Don Kulasiri, Rahul Kosarwal. - Singapore :Springer Singapore :2021. - xviii, 217 p. :ill., digital ;24 cm.

1. Introduction -- 2. A Review and Challenges in Chemical Master Equation -- 3. Visualizing Markov Process through Graphs and Trees -- 4. Intelligent State Projection -- 5. Comparative Study And Analysis of Methods and Models -- 6. A Large Model Case Study: Solving CME for G1/S Checkpoint Involving the DNA-damage Signal Transduction Pathway -- 7. An Integrated Large Model Case Study: Solving CME for Oxidative Stress Adaptation in the Fungal Pathogen Candida Albicans.

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.

ISBN: 9789811653513

Standard No.: 10.1007/978-981-16-5351-3doiSubjects--Topical Terms:

518028
Biochemistry.

LC Class. No.: QP514.2

Dewey Class. No.: 572

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505 0 $a 1. Introduction -- 2. A Review and Challenges in Chemical Master Equation -- 3. Visualizing Markov Process through Graphs and Trees -- 4. Intelligent State Projection -- 5. Comparative Study And Analysis of Methods and Models -- 6. A Large Model Case Study: Solving CME for G1/S Checkpoint Involving the DNA-damage Signal Transduction Pathway -- 7. An Integrated Large Model Case Study: Solving CME for Oxidative Stress Adaptation in the Fungal Pathogen Candida Albicans.
520 $a 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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