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Computational and Statistical Approaches to Genomics.
Seller: Universitätsbuchhandlung Herta Hold GmbH, Berlin, Germany
Association Member: GIAQ ILAB VDA
Seller rating 4 out of 5 stars
2nd ed. VIII, 416 p. Hardcover. Versand aus Deutschland / We dispatch from Germany via Air Mail. Einband bestoßen, daher Mängelexemplar gestempelt, sonst sehr guter Zustand. Imperfect copy due to slightly bumped cover, apart from this in very good condition. Stamped. Sprache: Englisch.
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Genomic Signal Processing
Published by Princeton, New Jersey Princeton University Press, 2007
Seller: Jeff Jeremias Fine Arts, RMABA, Aurora, CO, U.S.A.
Association Member: RMABA
Seller rating 5 out of 5 stars
First Edition
Hardcover. Condition: Fine. No Jacket. 1st Edition. First edition. 298 pages. Fine condition. (AA14).
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Genomic Signal Processing (Princeton Series in Applied Mathematics (50))
Book 21 of 33: Princeton Series in Applied MathematicsLanguage: English
Published by Princeton University Press, 2007
ISBN 10: 0691117624 ISBN 13: 9780691117621
Condition: New.
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Probabilistic Boolean Networks
Language: English
Published by Society for Industrial and Applied Mathematics (SIAM), 2010
ISBN 10: 0898716926 ISBN 13: 9780898716924
Seller: PBShop.store UK, Fairford, GLOS, United Kingdom
Seller rating 5 out of 5 stars
PAP. Condition: New. New Book. Shipped from UK. Established seller since 2000.
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Probabilistic Boolean Networks : The Modeling and Control of Gene Regulatory Networks
Language: English
Published by Society for Industrial and Applied Mathematics, 2010
ISBN 10: 0898716926 ISBN 13: 9780898716924
Condition: New.
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Probabilistic Boolean Networks
Language: English
Published by Society for Industrial and Applied Mathematics,U.S., US, 2010
ISBN 10: 0898716926 ISBN 13: 9780898716924
Seller: Rarewaves.com USA, London, LONDO, United Kingdom
Seller rating 5 out of 5 stars
Paperback. Condition: 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.
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Genomic Signal Processing (Princeton Series in Applied Mathematics)
Book 21 of 33: Princeton Series in Applied MathematicsLanguage: English
Published by Princeton University Press, 2007
ISBN 10: 0691117624 ISBN 13: 9780691117621
Seller: Phatpocket Limited, Waltham Abbey, HERTS, United Kingdom
Seller rating 5 out of 5 stars
Condition: Good. Your purchase helps support Sri Lankan Children's Charity 'The Rainbow Centre'. Ex-library, so some stamps and wear, but in good overall condition. Our donations to The Rainbow Centre have helped provide an education and a safe haven to hundreds of children who live in appalling conditions.
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Probabilistic Boolean Networks : The Modeling and Control of Gene Regulatory Networks
Language: English
Published by Society for Industrial and Applied Mathematics, 2010
ISBN 10: 0898716926 ISBN 13: 9780898716924
Condition: As New. Unread book in perfect condition.
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Probabilistic Boolean Networks : The Modeling and Control of Gene Regulatory Networks
Language: English
Published by Society for Industrial and Applied Mathematics, 2010
ISBN 10: 0898716926 ISBN 13: 9780898716924
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
Condition: New.
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Probabilistic Boolean Networks: The Modeling and Control of Gene Regulatory Networks
Language: English
Published by Society for Industrial and Applied Mathematics, 2010
ISBN 10: 0898716926 ISBN 13: 9780898716924
Seller: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Ireland
Seller rating 5 out of 5 stars
Condition: New. 2010. paperback. . . . . .
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Condition: New. This is a Brand-new US Edition. This Item may be shipped from US or any other country as we have multiple locations worldwide.
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Probabilistic Boolean Networks The Modeling and Control of Gene Regulatory Networks
Language: English
Published by Society for Industrial & Applied, 2010
ISBN 10: 0898716926 ISBN 13: 9780898716924
Paperback. Condition: Brand New. 267 pages. 9.75x7.00x0.75 inches. In Stock.
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Condition: New. Brand New Original US Edition. Customer service! Satisfaction Guaranteed.
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Probabilistic Boolean Networks : The Modeling and Control of Gene Regulatory Networks
Language: English
Published by Society for Industrial and Applied Mathematics, 2010
ISBN 10: 0898716926 ISBN 13: 9780898716924
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
Condition: As New. Unread book in perfect condition.
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Probabilistic Boolean Networks: The Modeling and Control of Gene Regulatory Networks
Language: English
Published by Society for Industrial & Applied Mathematics,U.S., 2010
ISBN 10: 0898716926 ISBN 13: 9780898716924
Seller: THE SAINT BOOKSTORE, Southport, United Kingdom
Seller rating 5 out of 5 stars
Paperback. Condition: New. New copy - Usually dispatched within 4 working days.
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Probabilistic Boolean Networks: The Modeling and Control of Gene Regulatory Networks
Language: English
Published by Society for Industrial and Applied Mathematics, 2010
ISBN 10: 0898716926 ISBN 13: 9780898716924
Condition: New. 2010. paperback. . . . . . Books ship from the US and Ireland.
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Condition: New. pp. xii + 136.
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Condition: New. This is a Brand-new US Edition. This Item may be shipped from US or any other country as we have multiple locations worldwide.
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Condition: Brand New. New. US edition. Expediting shipping for all USA and Europe orders excluding PO Box. Excellent Customer Service.
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Condition: New. pp. xii + 136 Illus.
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Computational and Statistical Approaches to Genomics
Seller: Phatpocket Limited, Waltham Abbey, HERTS, United Kingdom
Seller rating 5 out of 5 stars
Condition: Good. Your purchase helps support Sri Lankan Children's Charity 'The Rainbow Centre'. Ex-library, so some stamps and wear, but in good overall condition. Our donations to The Rainbow Centre have helped provide an education and a safe haven to hundreds of children who live in appalling conditions.
-
Genomic Signal Processing
Book 21 of 33: Princeton Series in Applied MathematicsLanguage: English
Published by Princeton University Press, 2007
ISBN 10: 0691117624 ISBN 13: 9780691117621
Condition: New.
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Genomic Signal Processing
Book 21 of 33: Princeton Series in Applied MathematicsLanguage: English
Published by Princeton University Press, US, 2007
ISBN 10: 0691117624 ISBN 13: 9780691117621
Hardback. Condition: New. Genomic signal processing (GSP) can be defined as the analysis, processing, and use of genomic signals to gain biological knowledge, and the translation of that knowledge into systems-based applications that can be used to diagnose and treat genetic diseases. Situated at the crossroads of engineering, biology, mathematics, statistics, and computer science, GSP requires the development of both nonlinear dynamical models that adequately represent genomic regulation, and diagnostic and therapeutic tools based on these models. This book facilitates these developments by providing rigorous mathematical definitions and propositions for the main elements of GSP and by paying attention to the validity of models relative to the data. Ilya Shmulevich and Edward Dougherty cover real-world situations and explain their mathematical modeling in relation to systems biology and systems medicine.Genomic Signal Processing makes a major contribution to computational biology, systems biology, and translational genomics by providing a self-contained explanation of the fundamental mathematical issues facing researchers in four areas: classification, clustering, network modeling, and network intervention.
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Condition: New. pp. xii + 136.
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Genomic Signal Processing (Princeton Series in Applied Mathematics, 50)
Book 21 of 33: Princeton Series in Applied MathematicsLanguage: English
Published by Princeton University Press, 2007
ISBN 10: 0691117624 ISBN 13: 9780691117621
hardcover. Condition: New. In shrink wrap. Looks like an interesting title!
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Genomic Signal Processing
Book 21 of 33: Princeton Series in Applied MathematicsLanguage: English
Published by Princeton University Press, 2007
ISBN 10: 0691117624 ISBN 13: 9780691117621
Condition: As New. Unread book in perfect condition.
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Genomic Signal Processing
Book 21 of 33: Princeton Series in Applied MathematicsLanguage: English
Published by Princeton University Press, 2007
ISBN 10: 0691117624 ISBN 13: 9780691117621
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
Condition: New.
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Condition: Used. pp. 440.
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Probabilistic Boolean Networks
Language: English
Published by Society for Industrial and Applied Mathematics,U.S., US, 2010
ISBN 10: 0898716926 ISBN 13: 9780898716924
Paperback. Condition: 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.
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Condition: Used. pp. 440 5 Illus. (Col.).
