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

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 num...

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Bibliographic Details
Main Authors: Kulasiri, Don, Kosarwal, Rahul (Author)
Format: eBook
Language:English
Published: Singapore : Springer, 2021.
Subjects:
Online Access:Click for online access

MARC

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100 1 |a Kulasiri, Don. 
245 1 0 |a Chemical master equation for large biological networks :  |b state-space expansion methods using AI /  |c Don Kulasiri, Rahul Kosarwal. 
260 |a Singapore :  |b Springer,  |c 2021. 
300 |a 1 online resource 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
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. 
504 |a Includes bibliographical references. 
588 0 |a Online resource; title from PDF title page (SpringerLink, viewed September 22, 2021). 
650 0 |a Biochemistry. 
650 0 |a Systems biology. 
650 7 |a biochemistry.  |2 aat 
650 7 |a Biochemistry  |2 fast 
650 7 |a Systems biology  |2 fast 
700 1 |a Kosarwal, Rahul,  |e author. 
758 |i has work:  |a Chemical master equation for large biological networks (Text)  |1 https://id.oclc.org/worldcat/entity/E39PCGQwHrK3RQQypM46rR4j83  |4 https://id.oclc.org/worldcat/ontology/hasWork 
776 0 8 |i Print version:  |a Kulasiri, Don.  |t Chemical master equation for large biological networks.  |d Singapore : Springer, 2021  |z 981165350X  |z 9789811653506  |w (OCoLC)1260292887 
856 4 0 |u https://holycross.idm.oclc.org/login?auth=cas&url=https://link.springer.com/10.1007/978-981-16-5351-3  |y Click for online access 
903 |a SPRING-PHYSICS2021 
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