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High-Speed Semiconductor Lasers for Communication. Volume 3038. Proceedings; 10-11 February, 1997; San Jose, California. SPIE.
Language: English
Published by The International Society for Optical Engineering, Bellingham, 1997
ISBN 10: 0819424498 ISBN 13: 9780819424495
Soft cover. Condition: Good. No Jacket. First. 212pp. W/full markings and pocket. Wear, Soil. Weight is 2 lb. Reprints are $85 from SPIE. Ex-Library Size: 4to. Book.
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paperback. Condition: Good. Connecting readers with great books since 1972! Used textbooks may not include companion materials such as access codes, etc. May have some wear or writing/highlighting. We ship orders daily and Customer Service is our top priority!
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Paperback. Condition: Very Good. No Jacket. May have limited writing in cover pages. Pages are unmarked. ~ ThriftBooks: Read More, Spend Less.
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Condition: As New. Unread book in perfect condition.
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Bayesian Networks in R: with Applications in Systems Biology (Use R!, 48)
Book 1 of 68: Use R!Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
£ 66.16
£ 11.98 shipping
Ships from United Kingdom to U.S.A.Quantity: Over 20 available
Add to basketCondition: New. In English.
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PF. Condition: New.
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Bayesian Networks in R : With Applications in Systems Biology
Book 1 of 68: Use R!Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
Condition: New.
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Bayesian Networks in R : With Applications in Systems Biology
Book 1 of 68: Use R!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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Condition: New. pp. 172.
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Paperback. Condition: Brand New. 157 pages. 9.25x6.25x0.25 inches. In Stock.
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Taschenbuch. Condition: Neu. Bayesian Networks in R | with Applications in Systems Biology | Radhakrishnan Nagarajan (u. a.) | Taschenbuch | Use R! | xiii | Englisch | 2013 | Humana | EAN 9781461464457 | 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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Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - Bayesian Networks in R with Applications in Systems Biology is unique as it introduces the reader to the essential concepts in Bayesian network modeling and inference in conjunction with examples in the open-source statistical environment R. The level of sophistication is also gradually increased across the chapters with exercises and solutions for enhanced understanding for hands-on experimentation of the theory and concepts. The application focuses on systems biology with emphasis on modeling pathways and signaling mechanisms from high-throughput molecular data. Bayesian networks have proven to be especially useful abstractions in this regard. Their usefulness is especially exemplified by their ability to discover new associations in addition to validating known ones across the molecules of interest. It is also expected that the prevalence of publicly available high-throughput biological data sets may encourage the audience to explore investigating novel paradigms using theapproaches presented in the book.
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Condition: new. Questo è un articolo print on demand.
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Bayesian Networks in R: with Applications in Systems Biology
Book 1 of 68: Use R!Language: English
Published by Springer-Verlag New York Inc., 2013
ISBN 10: 1461464455 ISBN 13: 9781461464457
Seller: THE SAINT BOOKSTORE, Southport, United Kingdom
Seller rating 5 out of 5 stars
£ 76.89
£ 13.55 shipping
Ships from United Kingdom to U.S.A.Quantity: Over 20 available
Add to basketPaperback / softback. Condition: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days.
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Bayesian Networks in R
Book 1 of 68: Use R!Language: English
Published by Springer, Humana Apr 2013, 2013
ISBN 10: 1461464455 ISBN 13: 9781461464457
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Bayesian Networks in R with Applications in Systems Biology is unique as it introduces the reader to the essential concepts in Bayesian network modeling and inference in conjunction with examples in the open-source statistical environment R. The level of sophistication is also gradually increased across the chapters with exercises and solutions for enhanced understanding for hands-on experimentation of the theory and concepts. The application focuses on systems biology with emphasis on modeling pathways and signaling mechanisms from high-throughput molecular data. Bayesian networks have proven to be especially useful abstractions in this regard. Their usefulness is especially exemplified by their ability to discover new associations in addition to validating known ones across the molecules of interest. It is also expected that the prevalence of publicly available high-throughput biological data sets may encourage the audience to explore investigating novel paradigms using theapproaches presented in the book. 172 pp. Englisch.
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Kartoniert / Broschiert. Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Represents a unique combination of introduction to concepts and examples from open-source R softwareEach chapter is accompanied by examples and exercises with solutions for enhanced understanding and experimentationUseful for students and r.
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Condition: New. Print on Demand pp. 172 36 Illus.
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Condition: New. PRINT ON DEMAND pp. 172.
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Bayesian Networks in R
Book 1 of 68: Use R!Language: English
Published by Springer, Humana Apr 2013, 2013
ISBN 10: 1461464455 ISBN 13: 9781461464457
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 -Bayesian Networks in R with Applications in Systems Biology is unique as it introduces the reader to the essential concepts in Bayesian network modeling and inference in conjunction with examples in the open-source statistical environment R. The level of sophistication is also gradually increased across the chapters with exercises and solutions for enhanced understanding for hands-on experimentation of the theory and concepts. The application focuses on systems biology with emphasis on modeling pathways and signaling mechanisms from high-throughput molecular data. Bayesian networks have proven to be especially useful abstractions in this regard. Their usefulness is especially exemplified by their ability to discover new associations in addition to validating known ones across the molecules of interest. It is also expected that the prevalence of publicly available high-throughput biological data sets may encourage the audience to explore investigating novel paradigms using theapproaches presented in the book.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 172 pp. Englisch.
