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Item Details
Title: GENOMIC SIGNAL PROCESSING
By: Ilya Shmulevich, Edward R. Dougherty
Format: Hardback

List price: £95.00
Our price: £76.00
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ISBN 10: 0691117624
ISBN 13: 9780691117621
Availability: Usually dispatched within 1-3 weeks.
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Publisher: PRINCETON UNIVERSITY PRESS
Pub. date: 2 July, 2007
Series: Princeton Series in Applied Mathematics
Pages: 288
Description: 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.
Synopsis: 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.
Illustrations: 20 halftones. 47 line illus. 4 tables.
Publication: US
Imprint: Princeton University Press
Returns: Returnable
Some other items by this author:
AN INTRODUCTION TO MORPHOLOGICAL IMAGE PROCESSING (PB)
AN INTRODUCTION TO NONLINEAR IMAGE PROCESSING (PB)
COMPUTATIONAL AND STATISTICAL APPROACHES TO GENOMICS (HB)
COMPUTATIONAL AND STATISTICAL APPROACHES TO GENOMICS (PB)
DIGITAL IMAGE PROCESSING METHODS (HB)
ELECTRONIC IMAGING TECHNOLOGY (PB)
ENHANCEMENT AND RESTORATION OF DIGITAL DOCUMENTS (HB)
EPISTEMOLOGY OF THE CELL
EPISTEMOLOGY OF THE CELL
EPISTEMOLOGY OF THE CELL
EPISTEMOLOGY OF THE CELL
EPISTEMOLOGY OF THE CELL (HB)
ERROR ESTIMATION FOR PATTERN RECOGNITION
ERROR ESTIMATION FOR PATTERN RECOGNITION
ERROR ESTIMATION FOR PATTERN RECOGNITION (HB)
GENOMIC SIGNAL PROCESSING
GENOMIC SIGNAL PROCESSING AND STATISTICS (HB)
HANDS-ON MORPHOLOGICAL IMAGE PROCESSING (PB)
IMAGE ALGEBRA AND MORPHOLOGICAL IMAGE PROCESSING III (PB)
IMAGE PROCESSING (HB)
IMAGE PROCESSING (PB)
IMAGE PROCESSING (PB)
IMAGE PROCESSING (PB)
IMAGE PROCESSING (PB)
IMAGE PROCESSING (PB)
IMAGE PROCESSING (PB)
INTRODUCTION TO COMPUTER-BASED IMAGING SYSTEMS (PB)
INTRODUCTION TO GENOMIC SIGNAL PROCESSING WITH CONTROL
INTRODUCTION TO GENOMIC SIGNAL PROCESSING WITH CONTROL (HB)
INTRODUCTION TO REAL-TIME IMAGING (PB)
MATHEMATICAL MODELING AND ESTIMATION TECHNIQUES IN COMPUTER VISION (HB)
MATHEMATICAL MODELING, BAYESIAN ESTIMATION, AND INVERSE PROBLEMS (PB)
MATHEMATICAL MORPHOLOGY IN IMAGE PROCESSING
MATHEMATICAL MORPHOLOGY IN IMAGE PROCESSING (HB)
MATHEMATICAL NONLINEAR IMAGE PROCESSING (HB)
MATHEMATICAL NONLINEAR IMAGE PROCESSING (PB)
MICROARRAY QUALITY CONTROL
MICROARRAY QUALITY CONTROL
MICROARRAY QUALITY CONTROL (HB)
MICROARRAYS (PB)
NEURAL, MORPHOLOGICAL, AND STOCHASTIC METHODS IN IMAGE AND SIGNAL PROCESSING (PB)
NONLINEAR FILTERS FOR IMAGE PROCESSING (HB)
NONLINEAR FILTERS FOR IMAGE PROCESSING (HB)
NONLINEAR IMAGE PROCESSING (PB)
NONLINEAR IMAGE PROCESSING 4 C (HB)
NONLINEAR IMAGE PROCESSING AND PATTERN ANALYSIS XII (PB)
NONLINEAR IMAGE PROCESSING III (PB)
NONLINEAR IMAGE PROCESSING IV (PB)
NONLINEAR IMAGE PROCESSING IX (HB)
OPTIMAL BAYESIAN CLASSIFICATION
OPTIMAL SIGNAL PROCESSING UNDER UNCERTAINTY (PB)
PROBABILISTIC BOOLEAN NETWORKS (PB)
RANDOM PROCESSES FOR IMAGE AND SIGNAL PROCESSING (HB)
RANDOM PROCESSES FOR IMAGE SIGNAL PROCESSING (HB)
STACK FILTERS (HB)
THE EVOLUTION OF SCIENTIFIC KNOWLEDGE (PB)


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