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| Title | Chemical Master Equation for Large Biological Networks : State-space Expansion Methods Using AI |
| Author(s) | Kulasiri, Don;Kosarwal, Rahul |
| Publication | Singapore, Springer Nature Singapore, 2021. |
| Description | XVIII, 217 p. 372 illus., 104 illus. in color : online resource |
| Abstract Note | 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,Price | 9789811653513 |
| Keyword(s) | 1. ARTIFICIAL INTELLIGENCE
2. BIOINFORMATICS
3. BIOMATHEMATICS
4. Computational and Systems Biology
5. Computational Intelligence
6. Computational Physics and Simulations
7. COMPUTER SIMULATION
8. EBOOK
9. EBOOK - SPRINGER
10. Mathematical and Computational Biology
11. MATHEMATICAL PHYSICS
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| Item Type | eBook |
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Circulation Data
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Call# | Status | Issued To | Return Due On | Physical Location |
| I11686 |
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