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Bayesian Networks in R

Bayesian Networks in R With Applications in Systems Biology - Use R!

2013

Paperback (27 Apr 2013)

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Publisher's Synopsis

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.

Book information

ISBN: 9781461464457
Publisher: Springer New York
Imprint: Springer
Pub date:
Edition: 2013
Language: English
Number of pages: 157
Weight: 274g
Height: 155mm
Width: 234mm
Spine width: 8mm