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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 /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Chemical master equation for large biological networks/ by Don Kulasiri, Rahul Kosarwal.
Reminder of title:	state-space expansion methods using AI /
Author:	Kulasiri, Don.
other author:	Kosarwal, Rahul.
Published:	Singapore :Springer Singapore : : 2021.,
Description:	xviii, 217 p. :ill., digital ;24 cm.
[NT 15003449]:	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
Subject:	Biochemistry. -
Online resource:	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

Chemical master equation for large biological networks = state-space expansion methods using AI /
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245 1 0 $a Chemical master equation for large biological networks $h [electronic resource] : $b state-space expansion methods using AI / $c by Don Kulasiri, Rahul Kosarwal.
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300 $a xviii, 217 p. : $b ill., digital ; $c 24 cm.
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.
650 0 $a Biochemistry. $3 518028
650 0 $a Systems biology. $3 905904
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650 2 4 $a Computational Intelligence. $3 1001631
650 2 4 $a Artificial Intelligence. $3 769149
700 1 $a Kosarwal, Rahul. $3 3518632
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