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Author : Xiaodong Wang
Publisher :
ISBN 13 :
Total Pages : 153 pages
Book Rating : 4.:/5 (249 download)
Download or read book Special Issue on Genomic Signal Processing written by Xiaodong Wang and published by . This book was released on 2004 with total page 153 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Jaakko T. Astola
Publisher :
ISBN 13 :
Total Pages : 220 pages
Book Rating : 4.:/5 (17 download)
Download or read book Special Issue Genomic Signal Processing written by Jaakko T. Astola and published by . This book was released on 2003 with total page 220 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Daniel R. Fuhrmann
Publisher :
ISBN 13 :
Total Pages : 174 pages
Book Rating : 4.:/5 (249 download)
Download or read book Special Issue: Genomics, Signal Processing, and Statistics written by Daniel R. Fuhrmann and published by . This book was released on 2004 with total page 174 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Edward R. Dougherty
Publisher : Hindawi Publishing Corporation
ISBN 13 : 9775945070
Total Pages : 456 pages
Book Rating : 4.7/5 (759 download)
Download or read book Genomic Signal Processing and Statistics written by Edward R. Dougherty and published by Hindawi Publishing Corporation. This book was released on 2005 with total page 456 pages. Available in PDF, EPUB and Kindle. Book excerpt: Recent advances in genomic studies have stimulated synergetic research and development in many cross-disciplinary areas. Processing the vast genomic data, especially the recent large-scale microarray gene expression data, to reveal the complex biological functionality, represents enormous challenges to signal processing and statistics. This perspective naturally leads to a new field, genomic signal processing (GSP), which studies the processing of genomic signals by integrating the theory of signal processing and statistics. Written by an international, interdisciplinary team of authors, this invaluable edited volume is accessible to students just entering this emergent field, and to researchers, both in academia and in industry, in the fields of molecular biology, engineering, statistics, and signal processing. The book provides tutorial-level overviews and addresses the specific needs of genomic signal processing students and researchers as a reference book. The book aims to address current genomic challenges by exploiting potential synergies between genomics, signal processing, and statistics, with special emphasis on signal processing and statistical tools for structural and functional understanding of genomic data. The first part of this book provides a brief history of genomic research and a background introduction from both biological and signal-processing/statistical perspectives, so that readers can easily follow the material presented in the rest of the book. In what follows, overviews of state-of-the-art techniques are provided. We start with a chapter on sequence analysis, and follow with chapters on feature selection, classification, and clustering of microarray data. We then discuss the modeling, analysis, and simulation of biological regulatory networks, especially gene regulatory networks based on Boolean and Bayesian approaches. Visualization and compression of gene data, and supercomputer implementation of genomic signal processing systems are also treated. Finally, we discuss systems biology and medical applications of genomic research as well as the future trends in genomic signal processing and statistics research.
Author : Ilya Shmulevich
Publisher : Princeton University Press
ISBN 13 : 1400865263
Total Pages : 314 pages
Book Rating : 4.4/5 (8 download)
Download or read book Genomic Signal Processing written by Ilya Shmulevich and published by Princeton University Press. This book was released on 2014-09-08 with total page 314 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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 : Aniruddha Datta
Publisher : CRC Press
ISBN 13 : 1420006673
Total Pages : 288 pages
Book Rating : 4.4/5 (2 download)
Download or read book Introduction to Genomic Signal Processing with Control written by Aniruddha Datta and published by CRC Press. This book was released on 2018-10-08 with total page 288 pages. Available in PDF, EPUB and Kindle. Book excerpt: Studying large sets of genes and their collective function requires tools that can easily handle huge amounts of information. Recent research indicates that engineering approaches for prediction, signal processing, and control are well suited for studying multivariate interactions. A tutorial guide to the current engineering research in genomics, Introduction to Genomic Signal Processing with Control provides a state-of-the-art account of the use of control theory to obtain intervention strategies for gene regulatory networks. The book builds up the necessary molecular biology background with a basic review of organic chemistry and an introduction of DNA, RNA, and proteins, followed by a description of the processes of transcription and translation and the genetic code that is used to carry out the latter. It discusses control of gene expression, introduces genetic engineering tools such as microarrays and PCR, and covers cell cycle control and tissue renewal in multi-cellular organisms. The authors then delineate how the engineering approaches of classification and clustering are appropriate for carrying out gene-based disease classification. This leads naturally to expression prediction, which in turn leads to genetic regulatory networks. The book concludes with a discussion of control approaches that can be used to alter the behavior of such networks in the hope that this alteration will move the network from a diseased state to a disease-free state. Written by recognized leaders in this emerging field, the book provides the exact amount of molecular biology required to understand the engineering applications. It is a self-contained resource that spans the diverse disciplines of molecular biology and electrical engineering.
Author :
Publisher :
ISBN 13 :
Total Pages : 129 pages
Book Rating : 4.:/5 (493 download)
Download or read book Genetic and Evolutionary Computation for Signal Processing and Image Analysis written by and published by . This book was released on 2003 with total page 129 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author :
Publisher :
ISBN 13 : 9789774540615
Total Pages : 454 pages
Book Rating : 4.5/5 (46 download)
Download or read book Genomic Signal Processing and Statistics written by and published by . This book was released on 2005 with total page 454 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides tutorial-level overviews and addresses the specific needs of genomic signal processing students and researchers as a reference book. It aims to address current genomic challenges by exploiting potential synergies between genomics, signal processing, and statistics, with special emphasis on signal processing and statistical tools for structural and functional understanding of genomic data.
Author : M. ZIA UR. RAHMAN
Publisher : CRC Press
ISBN 13 : 9780367618575
Total Pages : 0 pages
Book Rating : 4.6/5 (185 download)
Download or read book Genomic Sequence Analysis for Exon Prediction Using Adaptive Signal Processing Algorithms written by M. ZIA UR. RAHMAN and published by CRC Press. This book was released on 2023-09-25 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book addresses the issue of improving the accuracy in exon prediction in DNA sequences using various adaptive techniques based on different performance measures that are crucial in disease diagnosis and therapy. First, the authors present an overview of genomics engineering, structure of DNA sequence and its building blocks, genetic information flow in a cell, gene prediction along with its significance, and various types of gene prediction methods, followed by a review of literature starting with the biological background of genomic sequence analysis. Next, they cover various theoretical considerations of adaptive filtering techniques used for DNA analysis, with an introduction to adaptive filtering, properties of adaptive algorithms, and the need for development of adaptive exon predictors (AEPs) and structure of AEP used for DNA analysis. Then, they extend the approach of least mean squares (LMS) algorithm and its sign-based realizations with normalization factor for DNA analysis. They also present the normalized logarithmic-based realizations of least mean logarithmic squares (LMLS) and least logarithmic absolute difference (LLAD) adaptive algorithms that include normalized LMLS (NLMLS) algorithm, normalized LLAD (NLLAD) algorithm, and their signed variants. This book ends with an overview of the goals achieved and highlights the primary achievements using all proposed techniques. This book is intended to provide rigorous use of adaptive signal processing algorithms for genetic engineering, biomedical engineering, and bioinformatics and is useful for undergraduate and postgraduate students. This will also serve as a practical guide for Ph.D. students and researchers and will provide a number of research directions for further work. Features Presents an overview of genomics engineering, structure of DNA sequence and its building blocks, genetic information flow in a cell, gene prediction along with its significance, and various types of gene prediction methods Covers various theoretical considerations of adaptive filtering techniques used for DNA analysis, introduction to adaptive filtering, properties of adaptive algorithms, need for development of adaptive exon predictors (AEPs), and structure of AEP used for DNA analysis Extends the approach of LMS algorithm and its sign-based realizations with normalization factor for DNA analysis Presents the normalized logarithmic-based realizations of LMLS and LLAD adaptive algorithms that include normalized LMLS (NLMLS) algorithm, normalized LLAD (NLLAD) algorithm, and their signed variants Provides an overview of the goals achieved and highlights the primary achievements using all proposed techniques Dr. Md. Zia Ur Rahman is a professor in the Department of Electronics and Communication Engineering at Koneru Lakshmaiah Educational Foundation (K. L. University), Guntur, India. His current research interests include adaptive signal processing, biomedical signal processing, genetic engineering, medical imaging, array signal processing, medical telemetry, and nanophotonics. Dr. Srinivasareddy Putluri is currently a Software Engineer at Tata Consultancy Services Ltd., Hyderabad. He received his Ph.D. degree (Genomic Signal Processing using Adaptive Signal Processing algorithms) from the Department of Electronics and Communication Engineering at Koneru Lakshmaiah Educational Foundation (K. L. University), Guntur, India. His research interests include genomic signal processing and adaptive signal processing. He has published 15 research papers in various journals and proceedings. He is currently a reviewer of publishers like the IEEE Access and IGI.
Author : Alejandro Morales
Publisher : Academic Press
ISBN 13 : 9780128143872
Total Pages : 250 pages
Book Rating : 4.1/5 (438 download)
Download or read book Genomic Analysis Using Digital Signal Processing written by Alejandro Morales and published by Academic Press. This book was released on 2019-03 with total page 250 pages. Available in PDF, EPUB and Kindle. Book excerpt: Genomic Analysis Using Digital Signal Processing presents some of the recent advances and challenges in signal processing analysis of genomic sequences, showing how the use of signal processing tools can offer interpretation for the study of genomics and biological function. The book covers several major areas, including mapping the problem, noise in genomic signals, segmentation and signal processing tools, and applications of genomic signal processing. Researchers and graduate students in signal processing, biomedical engineering and bioinformatics will find this book a very useful reference on how signal processing methods can be used for genomic analysis. Covers signal processing methods for genomic analysis with a list of existing software Provides full implementation of signal processing tools with biological interpretation Includes examples of signal processing applications for genomic analysis
Author : Edward R. Dougherty
Publisher :
ISBN 13 :
Total Pages : pages
Book Rating : 4.:/5 (741 download)
Download or read book Genomic Signal Processing and Statistics. EURASIP Book Series on Signal Processing and Communications written by Edward R. Dougherty and published by . This book was released on 2005 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: Recent advances in genomic studies have stimulated synergetic research and development in many cross-disciplinary areas. Processing the vast genomic data, especially the recent large-scale microarray gene expression data, to reveal the complex biological functionality, represents enormous challenges to signal processing and statistics. This perspective naturally leads to a new field, genomic signal processing (GSP), which studies the processing of genomic signals by integrating the theory of signal processing and statistics. Written by an international, interdisciplinary team of authors, this invaluable edited volume is accessible to students just entering this emergent field, and to researchers, both in academia and in industry, in the fields of molecular biology, engineering, statistics, and signal processing. The book provides tutorial-level overviews and addresses the specific needs of genomic signal processing students and researchers as a reference book. The book aims to address current genomic challenges by exploiting potential synergies between genomics, signal processing, and statistics, with special emphasis on signal processing and statistical tools for structural and functional understanding of genomic data. The first part of this book provides a brief history of genomic research and a background introduction from both biological and signal-processing/statistical perspectives, so that readers can easily follow the material presented in the rest of the book. In what follows, overviews of state-of-the-art techniques are provided. We start with a chapter on sequence analysis, and follow with chapters on feature selection, classification, and clustering of microarray data. We then discuss the modeling, analysis, and simulation of biological regulatory networks, especially gene regulatory networks based on Boolean and Bayesian approaches. Visualization and compression of gene data, and supercomputer implementation of genomic signal processing systems are also treated. Finally, we discuss systems biology and medical applications of genomic research as well as the future trends in genomic signal processing and statistics research.
Author : Jaakko Astola
Publisher :
ISBN 13 :
Total Pages : 220 pages
Book Rating : 4.:/5 (519 download)
Download or read book Genomic Signal Processing written by Jaakko Astola and published by . This book was released on 2003 with total page 220 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Stephen Marshall
Publisher : Hindawi Publishing Corporation
ISBN 13 : 9775945372
Total Pages : 375 pages
Book Rating : 4.7/5 (759 download)
Download or read book Advances in Nonlinear Signal and Image Processing written by Stephen Marshall and published by Hindawi Publishing Corporation. This book was released on 2006 with total page 375 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Special Issue on Multivariate Methods in Genomic Data Analysis written by and published by . This book was released on 2004 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Wei Zhang
Publisher : Springer
ISBN 13 : 9780387262871
Total Pages : 416 pages
Book Rating : 4.2/5 (628 download)
Download or read book Computational and Statistical Approaches to Genomics written by Wei Zhang and published by Springer. This book was released on 2006-05-04 with total page 416 pages. Available in PDF, EPUB and Kindle. Book excerpt: The second edition of this book adds eight new contributors to reflect a modern cutting edge approach to genomics. It contains the newest research results on genomic analysis and modeling using state-of-the-art methods from engineering, statistics, and genomics. These tools and models are then applied to real biological and clinical problems. The book’s original seventeen chapters are also updated to provide new initiatives and directions.
Author : Wei Zhang
Publisher : Jones & Bartlett Learning
ISBN 13 : 9780763722616
Total Pages : 384 pages
Book Rating : 4.7/5 (226 download)
Download or read book Genomic and Molecular Neuro-oncology written by Wei Zhang and published by Jones & Bartlett Learning. This book was released on 2004 with total page 384 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book describes and illustrates the latest genomic and molecular techniques that are rapidly transforming the practice of clinical neuro-oncology and the direction of scientific investigation in modern brain tumor research. Each of the chapters provides a review of a specific subfield of contemporary molecular neuro-oncology, including recently implemented diagnostic and research applications. Among the important technical areas covered are the analysis of genomic instability, approaches to tumor invasion and angiogenesis, animal models, gene expression profiling, tissue microarray technology, mRNA splicing, functional genomics and genomics informatics. This book focuses on the latest genomics, molecular, and informatic approaches to neuro-oncology.
Author : Wei Zhang
Publisher : Springer Science & Business Media
ISBN 13 : 0387262881
Total Pages : 426 pages
Book Rating : 4.3/5 (872 download)
Download or read book Computational and Statistical Approaches to Genomics written by Wei Zhang and published by Springer Science & Business Media. This book was released on 2007-12-26 with total page 426 pages. Available in PDF, EPUB and Kindle. Book excerpt: The second edition of this book adds eight new contributors to reflect a modern cutting edge approach to genomics. It contains the newest research results on genomic analysis and modeling using state-of-the-art methods from engineering, statistics, and genomics. These tools and models are then applied to real biological and clinical problems. The book’s original seventeen chapters are also updated to provide new initiatives and directions.
