Nagarajan radhakrishnan (18 résultats)

Paperback. Etat : Good. 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.

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Paperback. Etat : Brand New. 157 pages. 9.25x6.25x0.25 inches. In Stock.

Taschenbuch. Etat : 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. Etat : 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.…

Kartoniert / Broschiert. Etat : 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.…

Etat : New. Print on Demand pp. 172 36 Illus.

Etat : New. PRINT ON DEMAND pp. 172.

Taschenbuch. Etat : 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.…