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Hidden Markov Processes: Theory and Applications to Biology
M. Vidyasagar
€ 71.14
€ 55.15
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Description for Hidden Markov Processes: Theory and Applications to Biology
Hardback. Explores important aspects of Markov and hidden Markov processes and the applications of these ideas to various problems in computational biology. This book provides a range of exercises, including drills to familiarize the reader with concepts and more advanced problems that require deep thinking about the theory. Series: Princeton Series in Applied Mathematics. Num Pages: 312 pages, 50 line illus. BIC Classification: PBT; PDE; PS. Category: (P) Professional & Vocational; (U) Tertiary Education (US: College). Dimension: 235 x 164 x 25. Weight in Grams: 554.
This book explores important aspects of Markov and hidden Markov processes and the applications of these ideas to various problems in computational biology. The book starts from first principles, so that no previous knowledge of probability is necessary. However, the work is rigorous and mathematical, making it useful to engineers and mathematicians, even those not interested in biological applications. A range of exercises is provided, including drills to familiarize the reader with concepts and more advanced problems that require deep thinking about the theory. Biological applications are taken from post-genomic biology, especially genomics and proteomics. The topics examined include standard ... Read more
This book explores important aspects of Markov and hidden Markov processes and the applications of these ideas to various problems in computational biology. The book starts from first principles, so that no previous knowledge of probability is necessary. However, the work is rigorous and mathematical, making it useful to engineers and mathematicians, even those not interested in biological applications. A range of exercises is provided, including drills to familiarize the reader with concepts and more advanced problems that require deep thinking about the theory. Biological applications are taken from post-genomic biology, especially genomics and proteomics. The topics examined include standard ... Read more
Product Details
Format
Hardback
Publication date
2014
Publisher
Princeton University Press United States
Number of pages
304
Condition
New
Series
Princeton Series in Applied Mathematics
Number of Pages
312
Place of Publication
New Jersey, United States
ISBN
9780691133157
SKU
V9780691133157
Shipping Time
Usually ships in 7 to 11 working days
Ref
99-1
About M. Vidyasagar
M. Vidyasagar is the Cecil and Ida Green Chair in Systems Biology Science at the University of Texas, Dallas. His many books include Computational Cancer Biology: An Interaction Network Approach and Control System Synthesis: A Factorization Approach.
Reviews for Hidden Markov Processes: Theory and Applications to Biology
"This book will serve as a solid and invaluable reference."
Byung-Jun Yoon, Quarterly Review of Biology
Byung-Jun Yoon, Quarterly Review of Biology