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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.
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ISBN: 9780691117621
ISBN-10: 0691117624
Series: Princeton Series in Applied Mathematics
Published: 2nd October 2007
Format: Hardcover
Language: English
Number of Pages: 288
Audience: College, Tertiary and University
Publisher: Princeton University Press
Country of Publication: US
Dimensions (cm): 23.4 x 15.2 x 2.54
Weight (kg): 0.6
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This product is categorised by
- Non-FictionComputing & I.T.Computer ScienceDigital Signal Processing (DSP)
- Non-FictionEngineering & TechnologyElectronics & Communications EngineeringElectronics Engineering
- Non-FictionMathematicsApplied Mathematics
- Non-FictionMedicinePre-Clinical Medicine & Basic SciencesMedical Genetics
- Non-FictionScienceScience in GeneralIndustrial Applications of Scientific Research & Technological Innovation
- Non-FictionScienceScience in GeneralMaths for Scientists
- Non-FictionScienceBiology, Life SciencesLife Sciences in GeneralGenetics excluding MedicalDNA & Genome
- Non-FictionComputing & I.T.Computer ScienceSystems Analysis & Design