Lingua: Inglese
Editore: Society for Industrial and Applied Mathematics (SIAM), 2010
ISBN 10: 0898716926 ISBN 13: 9780898716924
Da: PBShop.store UK, Fairford, GLOS, Regno Unito
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Aggiungi al carrelloPAP. Condizione: New. New Book. Shipped from UK. Established seller since 2000.
Lingua: Inglese
Editore: Society for Industrial and Applied Mathematics, 2010
ISBN 10: 0898716926 ISBN 13: 9780898716924
Da: GreatBookPrices, Columbia, MD, U.S.A.
Condizione: New.
Lingua: Inglese
Editore: Society for Industrial and Applied Mathematics,U.S., US, 2010
ISBN 10: 0898716926 ISBN 13: 9780898716924
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Aggiungi al carrelloPaperback. Condizione: New. The first comprehensive treatment of probabilistic Boolean networks (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. As the PBN model can serve as a mathematical framework for studying the basic issues of systems-based genomics, the book builds a rigorous mathematical foundation for exploring these issues, which include long-run dynamical properties and how these correspond to therapeutic goals; the effect of complexity on model inference and the resulting consequences of model uncertainty; altering network dynamics via structural intervention, such as perturbing gene logic; optimal control of regulatory networks over time; limitations imposed on the ability to achieve optimal control owing to model complexity; and the effects of asynchronicity. The authors unify different strands of current research and address emerging issues such as constrained control, greedy control, and asynchronicity.
Lingua: Inglese
Editore: Society for Industrial and Applied Mathematics, 2010
ISBN 10: 0898716926 ISBN 13: 9780898716924
Da: GreatBookPrices, Columbia, MD, U.S.A.
Condizione: As New. Unread book in perfect condition.
Lingua: Inglese
Editore: Society for Industrial and Applied Mathematics, 2010
ISBN 10: 0898716926 ISBN 13: 9780898716924
Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 67,70
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Aggiungi al carrelloCondizione: New.
Lingua: Inglese
Editore: Society for Industrial and Applied Mathematics, 2010
ISBN 10: 0898716926 ISBN 13: 9780898716924
Da: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Irlanda
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Aggiungi al carrelloCondizione: New. 2010. paperback. . . . . .
Lingua: Inglese
Editore: Society for Industrial & Applied, 2010
ISBN 10: 0898716926 ISBN 13: 9780898716924
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Aggiungi al carrelloPaperback. Condizione: Brand New. 267 pages. 9.75x7.00x0.75 inches. In Stock.
Lingua: Inglese
Editore: Society for Industrial and Applied Mathematics, 2010
ISBN 10: 0898716926 ISBN 13: 9780898716924
Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 78,67
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Aggiungi al carrelloCondizione: As New. Unread book in perfect condition.
Lingua: Inglese
Editore: Society for Industrial & Applied Mathematics,U.S., 2010
ISBN 10: 0898716926 ISBN 13: 9780898716924
Da: THE SAINT BOOKSTORE, Southport, Regno Unito
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Aggiungi al carrelloPaperback. Condizione: New. New copy - Usually dispatched within 4 working days.
Lingua: Inglese
Editore: Society for Industrial and Applied Mathematics, 2010
ISBN 10: 0898716926 ISBN 13: 9780898716924
Da: Kennys Bookstore, Olney, MD, U.S.A.
Condizione: New. 2010. paperback. . . . . . Books ship from the US and Ireland.
Lingua: Inglese
Editore: Society for Industrial and Applied Mathematics,U.S., US, 2010
ISBN 10: 0898716926 ISBN 13: 9780898716924
Da: Rarewaves.com UK, London, Regno Unito
EUR 71,25
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Aggiungi al carrelloPaperback. Condizione: New. The first comprehensive treatment of probabilistic Boolean networks (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. As the PBN model can serve as a mathematical framework for studying the basic issues of systems-based genomics, the book builds a rigorous mathematical foundation for exploring these issues, which include long-run dynamical properties and how these correspond to therapeutic goals; the effect of complexity on model inference and the resulting consequences of model uncertainty; altering network dynamics via structural intervention, such as perturbing gene logic; optimal control of regulatory networks over time; limitations imposed on the ability to achieve optimal control owing to model complexity; and the effects of asynchronicity. The authors unify different strands of current research and address emerging issues such as constrained control, greedy control, and asynchronicity.