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Condition: As New. Unread book in perfect condition.
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Network Inference in Molecular Biology: A Hands-on Framework (SpringerBriefs in Electrical and Computer Engineering)
Book 20 of 209: SpringerBriefs in Electrical and Computer EngineeringSeller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
£ 49.34
£ 11.98 shipping
Ships from United Kingdom to U.S.A.Quantity: Over 20 available
Add to basketCondition: New. In.
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Network Inference in Molecular Biology : A Hands-on Framework
Book 20 of 209: SpringerBriefs in Electrical and Computer EngineeringSeller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
Condition: New.
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Network Inference in Molecular Biology : A Hands-on Framework
Book 20 of 209: SpringerBriefs in Electrical and Computer EngineeringSeller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
Condition: As New. Unread book in perfect condition.
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Network Inference in Molecular Biology: A Hands-on Framework
Book 20 of 209: SpringerBriefs in Electrical and Computer EngineeringLanguage: English
Published by Springer-Verlag New York Inc, 2012
ISBN 10: 1461431123 ISBN 13: 9781461431121
Paperback. Condition: Brand New. 2012 edition. 109 pages. 9.00x6.00x0.25 inches. In Stock.
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Taschenbuch. Condition: Neu. Network Inference in Molecular Biology | A Hands-on Framework | Jesse M. Lingeman (u. a.) | Taschenbuch | SpringerBriefs in Electrical and Computer Engineering | ix | Englisch | 2012 | Springer | EAN 9781461431121 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
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Condition: Sehr gut. Zustand: Sehr gut | Sprache: Englisch | Produktart: Bücher | Inferring gene regulatory networks is a difficult problem to solve due to the relative scarcity of data compared to the potential size of the networks. While researchers have developed techniques to find some of the underlying network structure, there is still no one-size-fits-all algorithm for every data set. Network Inference in Molecular Biology examines the current techniques used by researchers, and provides key insights into which algorithms best fit a collection of data. Through a series of in-depth examples, the book also outlines how to mix-and-match algorithms, in order to create one tailored to a specific data situation. Network Inference in Molecular Biology is intended for advanced-level students and researchers as a reference guide. Practitioners and professionals working in a related field will also find this book valuable.
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Condition: new. Questo è un articolo print on demand.
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Condition: New. Print on Demand pp. 112 58 Illus.
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Condition: New. PRINT ON DEMAND pp. 112.
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Inferring gene regulatory networks is a difficult problem to solve due to the relative scarcity of data compared to the potential size of the networks. While researchers have developed techniques to find some of the underlying network structure, there is.
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Network Inference in Molecular Biology
Book 20 of 209: SpringerBriefs in Electrical and Computer EngineeringLanguage: English
Published by Springer, Springer Mai 2012, 2012
ISBN 10: 1461431123 ISBN 13: 9781461431121
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Inferring gene regulatory networks is a difficult problem to solve due to the relative scarcity of data compared to the potential size of the networks. While researchers have developed techniques to find some of the underlying network structure, there is still no one-size-fits-all algorithm for every data set.Network Inference in Molecular Biology examines the current techniques used by researchers, and provides key insights into which algorithms best fit a collection of data. Through a series of in-depth examples, the book also outlines how to mix-and-match algorithms, in order to create one tailored to a specific data situation.Network Inference in Molecular Biology is intended for advanced-level students and researchers as a reference guide. Practitioners and professionals working in a related field will also find this book valuable.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 112 pp. Englisch.
