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Genomic Signal Processing
Ilya Shmulevich
€ 112.39
€ 85.64
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Description for Genomic Signal Processing
Hardback. Genomic signal processing (GSP) requires the development of both nonlinear dynamical models that represent genomic regulation, and diagnostic and therapeutic tools based on these models. This book facilitates these developments by providing mathematical definitions and propositions for the main elements of GSP. Series: Princeton Series in Applied Mathematics. Num Pages: 288 pages, 20 halftones. 47 line illus. 4 tables. BIC Classification: TJF. Category: (P) Professional & Vocational; (U) Tertiary Education (US: College). Dimension: 236 x 167 x 26. Weight in Grams: 562.
Genomic signal processing (GSP) can be defined as the analysis, processing, and use of genomic signals to gain biological knowledge, and the translation of that knowledge into systems-based applications that can be used to diagnose and treat genetic diseases. Situated at the crossroads of engineering, biology, mathematics, statistics, and computer science, GSP requires the development of both nonlinear dynamical models that adequately represent genomic regulation, and diagnostic and therapeutic tools based on these models. This book facilitates these developments by providing rigorous mathematical definitions and propositions for the main elements of GSP and by paying attention to the validity of ... Read more
Genomic signal processing (GSP) can be defined as the analysis, processing, and use of genomic signals to gain biological knowledge, and the translation of that knowledge into systems-based applications that can be used to diagnose and treat genetic diseases. Situated at the crossroads of engineering, biology, mathematics, statistics, and computer science, GSP requires the development of both nonlinear dynamical models that adequately represent genomic regulation, and diagnostic and therapeutic tools based on these models. This book facilitates these developments by providing rigorous mathematical definitions and propositions for the main elements of GSP and by paying attention to the validity of ... Read more
Product Details
Format
Hardback
Publication date
2007
Publisher
Princeton University Press
Number of pages
312
Condition
New
Series
Princeton Series in Applied Mathematics
Number of Pages
288
Place of Publication
New Jersey, United States
ISBN
9780691117621
SKU
V9780691117621
Shipping Time
Usually ships in 7 to 11 working days
Ref
99-1
About Ilya Shmulevich
Ilya Shmulevich, an associate professor at the Institute for Systems Biology, is the coauthor of "Microarray Quality Control" and the coeditor of "Computational and Statistical Approaches to Genomics". Edward R. Dougherty is professor of electrical and computer engineering and director of the Genomic Signal Processing Laboratory at Texas A&M University, and director of the Computational Biology Division at the Translational ... Read more
Reviews for Genomic Signal Processing
"Genomic Signal Processing makes a major contribution to computational biology, systems biology, and translational genomics by providing a self-contained explanation of the fundamental mathematical issues facing researchers in four areas: classification, clustering, network modeling, and network intervention... The authors' substantial accomplishments in this area will inspire researchers and students alike. The book provides a much-needed stepping stone so that researchers ... Read more