Description: Bayesian Networks in R by Radhakrishnan Nagarajan, Marco Scutari, Sophie Lèbre Estimated delivery 3-12 business days Format Paperback Condition Brand New Description 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. Publisher Description 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. Author Biography 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 science approaches. Contact: Division of Biomedical Informatics/Department of Biostatistics, College of Public Health, University of Kentucky, 725 Rose Street, MDS 230F, Lexington, KY 40536-0082. Marco Scutari, Ph.D. Dr. Scutari studied Statistics and Computer Science at the University of Padova, Italy. He earned his Ph.D. in Statistics in Padova under the guidance of Prof. A. Brogini, studying graphical model learning. He is now Research Associate at the Genetics Institute, University College London (UCL). His research focuses on the theoretical properties of Bayesian networks and their applications to biological data, and he is the author and maintainer of the bnlearn R package.Contact: Genetics Institute, University College London Darwin Building, Room 212 London, WC1E 6BT United Kingdom. Sophie Lèbre, Ph.D.Dr. Lèbre is a Lecturer in the Department of Computer Science at the University of Strasbourg, France. She originally earned her Ph.D. in Applied Mathematics at the University of Evry-val-dEssone (France) under the guidance of Prof. B. Prum. Her research focuses on graphical modeling and dynamic Bayesian network inference, devoted to recovering genetic interaction networks from post genomic data. She is the author and maintainer of the G1DBN and the ARTIVA R packages for dynamic Bayesian network inference.Contact: LSIIT, Equipe BFO, Pôle API, Bd Sébastien Brant - BP 10413, F -67412 Illkirch CEDEX, France.Contact: Division of Biomedical Informatics/Department of Biostatistics, College of Public Health, University of Kentucky, 725 Rose Street, MDS 230F, Lexington, KY 40536-0082. Details ISBN 1461464455 ISBN-13 9781461464457 Title Bayesian Networks in R Author Radhakrishnan Nagarajan, Marco Scutari, Sophie Lèbre Format Paperback Year 2013 Pages 157 Edition 2013th Publisher Springer-Verlag New York Inc. GE_Item_ID:137801857; About Us Grand Eagle Retail is the ideal place for all your shopping needs! With fast shipping, low prices, friendly service and over 1,000,000 in stock items - you're bound to find what you want, at a price you'll love! Shipping & Delivery Times Shipping is FREE to any address in USA. Please view eBay estimated delivery times at the top of the listing. 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Price: 101.35 USD
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End Time: 2024-11-22T03:37:32.000Z
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ISBN-13: 9781461464457
Book Title: Bayesian Networks in R
Number of Pages: Xiii, 157 Pages
Publication Name: Bayesian Networks in R : with Applications in Systems Biology
Language: English
Publisher: Springer New York
Publication Year: 2013
Item Height: 0.1 in
Subject: Programming Languages / General, Mathematical & Statistical Software, Probability & Statistics / General, Probability & Statistics / Bayesian Analysis, Compilers
Item Weight: 95.3 Oz
Type: Textbook
Item Length: 9.3 in
Subject Area: Mathematics, Computers
Author: Marco Scutari, Radhakrishnan Nagarajan, Sophie Lèbre
Series: Use R! Ser.
Item Width: 6.1 in
Format: Trade Paperback
