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"This is the first comprehensive treatment of probabilistic Boolean networks (PBNs), an important model class for studying genetic regulatory networks. This book covers basic model properties, including the relationships between network structure and dynamics, steady-state analysis, and relationships to other model classes." "Researchers in mathematics, computer science, and engineering are exposed to important applications in systems biology and presented with ample opportunities for developing new approaches and methods. The bookis also appropriate for advanced undergraduates, graduate students, and scientists working in the fields of computational biology, genomic signal processing, control and systems theory, and computer science."--Jacket.
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Edition | Availability |
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1
Probabilistic boolean networks: the modeling and control of gene regulatory networks
2010, Society for Industrial and Applied Mathematics
in English
0898716926 9780898716924
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2
Probabilistic boolean networks: the modeling and control of gene regulatory networks
2010, Society for Industrial and Applied Mathematics
in English
0898716926 9780898716924
|
zzzz
|
3
Probabilistic boolean networks: the modeling and control of gene regulatory networks
2010, Society for Industrial and Applied Mathematics
in English
0898716926 9780898716924
|
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Book Details
Table of Contents
Edition Notes
Includes bibliographical references and index.
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- Created March 26, 2010
- 2 revisions
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July 31, 2019 | Edited by MARC Bot | associate edition with work OL16686162W |
March 26, 2010 | Created by ImportBot | Imported from Library of Congress MARC record |