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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 : 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 : Riccardo Poli
Publisher :
ISBN 13 :
Total Pages : 128 pages
Book Rating : 4.:/5 (17 download)
Download or read book Special Issue on Genetic and Evolutionary Computation for Signal Processing and Image Analysis written by Riccardo Poli and published by . This book was released on 2003 with total page 128 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 :
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 : 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 :
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 : Aniruddha Datta
Publisher : CRC Press
ISBN 13 :
Total Pages : 310 pages
Book Rating : 4.:/5 (89 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 2007 with total page 310 pages. Available in PDF, EPUB and Kindle. Book excerpt: Review of organic chemistry -- Energy considerations in biochemical reactions -- Proteins -- DNA -- Transcription and translation -- Chromosomes and gene regulation -- Genetic variation -- DNA technology -- Cell division -- Cell cycle control, cell death, and cancer -- Expression microarrays -- Classification -- Clustering -- Genetic regulatory networks -- Intervention -- External intervention based on optimal control theory.
Author : Iyad Obeid
Publisher : Springer Nature
ISBN 13 : 3030674940
Total Pages : 261 pages
Book Rating : 4.0/5 (36 download)
Download or read book Biomedical Signal Processing written by Iyad Obeid and published by Springer Nature. This book was released on 2021-04-12 with total page 261 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides an interdisciplinary look at emerging trends in signal processing and biomedicine found at the intersection of healthcare, engineering, and computer science. It examines the vital role signal processing plays in enabling a new generation of technology based on big data, and looks at applications ranging from medical electronics to data mining of electronic medical records. Topics covered include analysis of medical images, machine learning, biomedical nanosensors, wireless technologies, and instrumentation and electrical stimulation. Biomedical Signal Processing: Innovation and Applications presents tutorials and examples of successful applications, and will appeal to a wide range of professionals, researchers, and students interested in applications of signal processing, medicine, and biology.
Author : Francisco A. Gómez Vela
Publisher : MDPI
ISBN 13 : 3039437712
Total Pages : 222 pages
Book Rating : 4.0/5 (394 download)
Download or read book Computational Methods for the Analysis of Genomic Data and Biological Processes written by Francisco A. Gómez Vela and published by MDPI. This book was released on 2021-02-05 with total page 222 pages. Available in PDF, EPUB and Kindle. Book excerpt: In recent decades, new technologies have made remarkable progress in helping to understand biological systems. Rapid advances in genomic profiling techniques such as microarrays or high-performance sequencing have brought new opportunities and challenges in the fields of computational biology and bioinformatics. Such genetic sequencing techniques allow large amounts of data to be produced, whose analysis and cross-integration could provide a complete view of organisms. As a result, it is necessary to develop new techniques and algorithms that carry out an analysis of these data with reliability and efficiency. This Special Issue collected the latest advances in the field of computational methods for the analysis of gene expression data, and, in particular, the modeling of biological processes. Here we present eleven works selected to be published in this Special Issue due to their interest, quality, and originality.
Author : Simon A MacKenzie
Publisher : Academic Press
ISBN 13 : 0128016906
Total Pages : 306 pages
Book Rating : 4.1/5 (28 download)
Download or read book Genomics in Aquaculture written by Simon A MacKenzie and published by Academic Press. This book was released on 2016-07-29 with total page 306 pages. Available in PDF, EPUB and Kindle. Book excerpt: Genomics in Aquaculture is a concise, must-have reference that describes current advances within the field of genomics and their applications to aquaculture. Written in an accessible manner for anyone—non-specialists to experts alike—this book provides in-depth coverage of genomics spanning from genome sequencing, to transcriptomics and proteomics. It provides, for ease of learning, examples from key species most relevant to current intensive aquaculture practice. Its coverage of minority species that have a specific biological interest (e.g., Pleuronectiformes) makes this book useful for countries that are developing such species. It is a robust, practical resource that covers foundational, functional, and applied aspects of genomics in aquaculture, presenting the most current information in a field of research that is rapidly growing. Provides the latest scientific methods and technologies to maximize efficiencies for healthy fish production, with summary tables for quick reference Offers an extended glossary of technical and methodological terms to help readers better understand key biological concepts Describes state-of-the-art technologies, such as transcriptomics and epigenomics, currently under development for future perspective of the field Covers minority species that have a specific biological interest (e.g., Pleuronectiformes), making the book useful to countries developing such species
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.
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:
Author : Sukanta Mondal
Publisher : Academic Press
ISBN 13 : 0128206128
Total Pages : 340 pages
Book Rating : 4.1/5 (282 download)
Download or read book Advances in Animal Genomics written by Sukanta Mondal and published by Academic Press. This book was released on 2020-11-25 with total page 340 pages. Available in PDF, EPUB and Kindle. Book excerpt: Advances in Animal Genomics provides an outstanding collection of integrated strategies involving traditional and modern - omics (structural, functional, comparative and epigenomics) approaches and genomics-assisted breeding methods which animal biotechnologists can utilize to dissect and decode the molecular and gene regulatory networks involved in the complex quantitative yield and stress tolerance traits in livestock. Written by international experts on animal genomics, this book explores the recent advances in high-throughput, next-generation whole genome and transcriptome sequencing, array-based genotyping, and modern bioinformatics approaches which have enabled to produce huge genomic and transcriptomic resources globally on a genome-wide scale. This book is an important resource for researchers, students, educators and professionals in agriculture, veterinary and biotechnology sciences that enables them to solve problems regarding sustainable development with the help of current innovative biotechnologies. Integrates basic and advanced concepts of animal biotechnology and presents future developments Describes current high-throughput next-generation whole genome and transcriptome sequencing, array-based genotyping, and modern bioinformatics approaches for sustainable livestock production Illustrates integrated strategies to dissect and decode the molecular and gene regulatory networks involved in complex quantitative yield and stress tolerance traits in livestock Ensures readers will gain a strong grasp of biotechnology for sustainable livestock production with its well-illustrated discussion
Author : L. M. Patnaik
Publisher : I. K. International Pvt Ltd
ISBN 13 : 8190694243
Total Pages : 690 pages
Book Rating : 4.1/5 (96 download)
Download or read book Proceedings Second International Conference on Information Processing written by L. M. Patnaik and published by I. K. International Pvt Ltd. This book was released on 2013-12-30 with total page 690 pages. Available in PDF, EPUB and Kindle. Book excerpt: The proceedings features several key-note addresses in the areas of advanced information processing tools. This area has been recognized to be one of the key five technologies poised to shape the modern society in the next decade. It aptly focuses on the tools and techniques for the development of Information Systems. Emphasis is on pattern recognition and image processing, software engineering, mobile ad hoc networks, security aspects in computer networks, signal processing and hardware synthesis, optimization techniques, data mining and information processing.
