Genomic Signal Processing

Name: Genomic Signal Processing
SKU: 3535173
Price: 313.00 NZD
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Hardback

Series:

Princeton Series in Applied Mathematics

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Description

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 models relative to the data. Ilya Shmulevich and Edward Dougherty cover real-world situations and explain their mathematical modeling in relation to systems biology and systems medicine. 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.

Author Biography:

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 Genomics Research Institute. His thirteen previous books include "Random Processes for Image and Signal Processing".

Release date NZ

July 22nd, 2007

Author

Audiences

Professional & Vocational
Tertiary Education (US: College)

Illustrations

20 halftones. 47 line illus. 4 tables.

Pages

288

Series

Princeton Series in Applied Mathematics

Dimensions

152x229x19

ISBN-13

9780691117621

Product ID

3535173

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