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Radhakrishnan Nagarajan - Bayesian Networks in R: with Applications in Systems Biology - 9781461464457 - V9781461464457
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Bayesian Networks in R: with Applications in Systems Biology

€ 98.79
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Description for Bayesian Networks in R: with Applications in Systems Biology Paperback. This book introduces readers essential concepts in Bayesian network modeling and inference in conjunction with examples in the open-source statistical environment R. Each chapter includes exercises with solutions. Series: Use R!. Num Pages: 157 pages, 36 black & white illustrations, 15 black & white tables, biography. BIC Classification: PBT; UFM; UMX. Category: (P) Professional & Vocational. Dimension: 238 x 152 x 11. Weight in Grams: 278.

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 ... Read more

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Product Details

Publisher
Springer-Verlag New York Inc. United States
Number of pages
172
Format
Paperback
Publication date
2013
Series
Use R!
Condition
New
Weight
257g
Number of Pages
157
Place of Publication
New York, NY, United States
ISBN
9781461464457
SKU
V9781461464457
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15

About Radhakrishnan Nagarajan
Radhakrishnan Nagarajan, Ph.D. Dr. Nagarajan is an Associate Professor in the Division of Biomedical Informatics, Department of Biostatistics at the College of Public Health, University of Kentucky, Lexington, USA. His areas of research falls under evidence-based science that demands knowledge discovery from high-dimensional molecular and observational healthcare data sets using a combination of statistical algorithms, machine learning and network ... Read more

Reviews for Bayesian Networks in R: with Applications in Systems Biology
“This book is a readable mix of short explanations of Bayesian network principles and implementations in R. I think it is most useful for readers who already have intermediate exposure to both the principles and R implementations. … Each chapter has several exercises (answers are at the end of the book) and the book could be used as an introductory ... Read more

Goodreads reviews for Bayesian Networks in R: with Applications in Systems Biology


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