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Publicado por The International Society for Optical Engineering, Bellingham, 1997
ISBN 10: 0819424498 ISBN 13: 9780819424495
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Añadir al carritoSoft cover. Condición: 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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Añadir al carritoFirst Edition. Fine cloth copy in a near fine, very slightly edge-nicked and dust-dulled dust wrapper, now mylar-sleeved. Remains particularly and surprisingly well-preserved; tight, bright, clean and sharp-cornered. Physical description; x, 174 p. : ill., plans ; 24 cm. Notes; Bibl. - Index. Subjects; Standardization. Standards, Engineering. Building - Standards. Buildings - Construction - Standardisation. Genre; Illustrated. 1 Kg.
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Añadir al carritoFirst Edition. Fine cloth copy in a near fine, very slightly edge-nicked and dust-dulled dust wrapper, now mylar-sleeved. Remains particularly and surprisingly well-preserved; tight, bright, clean and sharp-cornered. Physical description; x, 174 p. : ill., plans ; 24 cm. Notes; Bibl. - Index. Subjects; Standardization. Standards, Engineering. Building - Standards. Buildings - Construction - Standardisation. Genre; Illustrated. 1 Kg.
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Añadir al carritoCondición: New. In English.
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Añadir al carritoPaperback. Condición: Brand New. 157 pages. 9.25x6.25x0.25 inches. In Stock.
Idioma: Inglés
Publicado por Springer New York, Springer US Apr 2013, 2013
ISBN 10: 1461464455 ISBN 13: 9781461464457
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Añadir al carritoTaschenbuch. Condición: Neu. 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 GmbH, Tiergartenstr. 17, 69121 Heidelberg 172 pp. Englisch.
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Añadir al carritoTaschenbuch. Condición: 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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Publicado por Springer-Verlag New York Inc., 2013
ISBN 10: 1461464455 ISBN 13: 9781461464457
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Idioma: Inglés
Publicado por Springer New York, Springer US Apr 2013, 2013
ISBN 10: 1461464455 ISBN 13: 9781461464457
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Añadir al carritoTaschenbuch. Condición: 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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Añadir al carritoCondición: New. Print on Demand pp. 172 36 Illus.
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Añadir al carritoCondición: 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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Añadir al carritoCondición: New. PRINT ON DEMAND pp. 172.
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Añadir al carritoTaschenbuch. Condición: Neu. Bayesian Networks in R | with Applications in Systems Biology | Radhakrishnan Nagarajan (u. a.) | Taschenbuch | 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 Print on Demand.