Genomic Signal Processing and Statistics

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Publisher : Hindawi Publishing Corporation
ISBN 13 : 9775945070
Total Pages : 456 pages
Book Rating : 4.7/5 (759 download)

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Book Synopsis Genomic Signal Processing and Statistics by : Edward R. Dougherty

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.

Signal Processing

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Publisher : BoD – Books on Demand
ISBN 13 : 9537619915
Total Pages : 540 pages
Book Rating : 4.5/5 (376 download)

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Book Synopsis Signal Processing by : Sebastian Miron

Download or read book Signal Processing written by Sebastian Miron and published by BoD – Books on Demand. This book was released on 2010-03-01 with total page 540 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book intends to provide highlights of the current research in signal processing area and to offer a snapshot of the recent advances in this field. This work is mainly destined to researchers in the signal processing related areas but it is also accessible to anyone with a scientific background desiring to have an up-to-date overview of this domain. The twenty-five chapters present methodological advances and recent applications of signal processing algorithms in various domains as telecommunications, array processing, biology, cryptography, image and speech processing. The methodologies illustrated in this book, such as sparse signal recovery, are hot topics in the signal processing community at this moment. The editor would like to thank all the authors for their excellent contributions in different areas of signal processing and hopes that this book will be of valuable help to the readers.

Error Estimation for Pattern Recognition

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Publisher : John Wiley & Sons
ISBN 13 : 1118999738
Total Pages : 336 pages
Book Rating : 4.1/5 (189 download)

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Book Synopsis Error Estimation for Pattern Recognition by : Ulisses M. Braga Neto

Download or read book Error Estimation for Pattern Recognition written by Ulisses M. Braga Neto and published by John Wiley & Sons. This book was released on 2015-07-07 with total page 336 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is the first of its kind to discuss error estimation with a model-based approach. From the basics of classifiers and error estimators to distributional and Bayesian theory, it covers important topics and essential issues pertaining to the scientific validity of pattern classification. Error Estimation for Pattern Recognition focuses on error estimation, which is a broad and poorly understood topic that reaches all research areas using pattern classification. It includes model-based approaches and discussions of newer error estimators such as bolstered and Bayesian estimators. This book was motivated by the application of pattern recognition to high-throughput data with limited replicates, which is a basic problem now appearing in many areas. The first two chapters cover basic issues in classification error estimation, such as definitions, test-set error estimation, and training-set error estimation. The remaining chapters in this book cover results on the performance and representation of training-set error estimators for various pattern classifiers. Additional features of the book include: • The latest results on the accuracy of error estimation • Performance analysis of re-substitution, cross-validation, and bootstrap error estimators using analytical and simulation approaches • Highly interactive computer-based exercises and end-of-chapter problems This is the first book exclusively about error estimation for pattern recognition. Ulisses M. Braga Neto is an Associate Professor in the Department of Electrical and Computer Engineering at Texas A&M University, USA. He received his PhD in Electrical and Computer Engineering from The Johns Hopkins University. Dr. Braga Neto received an NSF CAREER Award for his work on error estimation for pattern recognition with applications in genomic signal processing. He is an IEEE Senior Member. Edward R. Dougherty is a Distinguished Professor, Robert F. Kennedy ’26 Chair, and Scientific Director at the Center for Bioinformatics and Genomic Systems Engineering at Texas A&M University, USA. He is a fellow of both the IEEE and SPIE, and he has received the SPIE Presidents Award. Dr. Dougherty has authored several books including Epistemology of the Cell: A Systems Perspective on Biological Knowledge and Random Processes for Image and Signal Processing (Wiley-IEEE Press).

Recent Advances in Intrusion Detection

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Publisher : Springer Science & Business Media
ISBN 13 : 3540743197
Total Pages : 347 pages
Book Rating : 4.5/5 (47 download)

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Book Synopsis Recent Advances in Intrusion Detection by : Christopher Kruegel

Download or read book Recent Advances in Intrusion Detection written by Christopher Kruegel and published by Springer Science & Business Media. This book was released on 2007-08-14 with total page 347 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 10th International Symposium on Recent Advances in Intrusion Detection, RAID 2007, held in Gold Coast, Australia in September 2007. The 17 revised full papers presented were carefully reviewed and selected from 101 submissions. The papers are organized in topical sections on anomaly detection, attacks, system evaluation and threat assessment, malware collection and analysis, anomaly- and specification-based detection, and network intrusion detection.

Knowledge Discovery in Proteomics

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Publisher : CRC Press
ISBN 13 : 1420035169
Total Pages : 359 pages
Book Rating : 4.4/5 (2 download)

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Book Synopsis Knowledge Discovery in Proteomics by : Igor Jurisica

Download or read book Knowledge Discovery in Proteomics written by Igor Jurisica and published by CRC Press. This book was released on 2005-09-02 with total page 359 pages. Available in PDF, EPUB and Kindle. Book excerpt: Multi-modal representations, the lack of complete and consistent domain theories, rapid evolution of domain knowledge, high dimensionality, and large amounts of missing information - these are challenges inherent in modern proteomics. As our understanding of protein structure and function becomes ever more complicated, we have reached a point where

Handbook of Research on Novel Soft Computing Intelligent Algorithms

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Publisher : IGI Global
ISBN 13 : 1466644516
Total Pages : 1173 pages
Book Rating : 4.4/5 (666 download)

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Book Synopsis Handbook of Research on Novel Soft Computing Intelligent Algorithms by : Pandian Vasant

Download or read book Handbook of Research on Novel Soft Computing Intelligent Algorithms written by Pandian Vasant and published by IGI Global. This book was released on 2013-08-31 with total page 1173 pages. Available in PDF, EPUB and Kindle. Book excerpt: "This book explores emerging technologies and best practices designed to effectively address concerns inherent in properly optimizing advanced systems, demonstrating applications in areas such as bio-engineering, space exploration, industrial informatics, information security, and nuclear and renewable energies"--Provided by publisher.

Evolution in Computational Intelligence

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Publisher : Springer Nature
ISBN 13 : 9811557888
Total Pages : 780 pages
Book Rating : 4.8/5 (115 download)

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Book Synopsis Evolution in Computational Intelligence by : Vikrant Bhateja

Download or read book Evolution in Computational Intelligence written by Vikrant Bhateja and published by Springer Nature. This book was released on 2020-09-08 with total page 780 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents the proceedings of 8th International Conference on Frontiers of Intelligent Computing: Theory and Applications (FICTA 2020), which aims to bring together researchers, scientists, engineers and practitioners to share new ideas and experiences in the domain of intelligent computing theories with prospective applications to various engineering disciplines. The book is divided into two volumes: Evolution in Computational Intelligence (Volume 1) and Intelligent Data Engineering and Analytics (Volume 2). Covering a broad range of topics in computational intelligence, the book features papers on theoretical as well as practical aspects of areas such as ANN and genetic algorithms, computer interaction, intelligent control optimization, evolutionary computing, intelligent e-learning systems, machine learning, mobile computing, and multi-agent systems. As such, it is a valuable reference resource for postgraduate students in various engineering disciplines.

Computational Vision and Medical Image Processing: VipIMAGE 2011

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Publisher : CRC Press
ISBN 13 : 0203128184
Total Pages : 460 pages
Book Rating : 4.2/5 (31 download)

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Book Synopsis Computational Vision and Medical Image Processing: VipIMAGE 2011 by : João Manuel R.S. Tavares

Download or read book Computational Vision and Medical Image Processing: VipIMAGE 2011 written by João Manuel R.S. Tavares and published by CRC Press. This book was released on 2011-09-28 with total page 460 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book contains invited lecturers and full papers presented at VIPIMAGE 2011 - III ECCOMAS Thematic Conference on Computational Vision and Medical Image Processing (Olh Algarve, Portugal, 12-14 October 2011). International contributions from 16 countries provide a comprehensive coverage of the current state-of-the-art in: Image Processing

Nanofluidics

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Publisher : Royal Society of Chemistry
ISBN 13 : 0854041478
Total Pages : 212 pages
Book Rating : 4.8/5 (54 download)

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Book Synopsis Nanofluidics by : Joshua Benno Edel

Download or read book Nanofluidics written by Joshua Benno Edel and published by Royal Society of Chemistry. This book was released on 2009 with total page 212 pages. Available in PDF, EPUB and Kindle. Book excerpt: In his celebrated lecture at the APS meeting in 1959, Richard Feynman pondered the potential of miniaturization in the physical sciences and proposed a variety of new nano-tools. Since then, many of these predictions have become reality including the development and application of nanofluidics. This timely book fills a gap in the current reference literature in this exciting and growing field and is dedicated to the field of nanofluidics with a focus on bioanalytical applications. These nanoscale analytical instruments employ micromachined features and are able to manipulate fluid samples with high precision and efficiency. The book is written at a level accessible to experts and non-experts alike and is essential reading for all advanced nanobiotechnology courses within academic institutions.

Genomic Sequence Analysis for Exon Prediction Using Adaptive Signal Processing Algorithms

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Publisher : CRC Press
ISBN 13 : 1000375153
Total Pages : 202 pages
Book Rating : 4.0/5 (3 download)

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Book Synopsis Genomic Sequence Analysis for Exon Prediction Using Adaptive Signal Processing Algorithms by : Md. Zia Ur Rahman

Download or read book Genomic Sequence Analysis for Exon Prediction Using Adaptive Signal Processing Algorithms written by Md. Zia Ur Rahman and published by CRC Press. This book was released on 2021-06-30 with total page 202 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.

108-1 Hearings: Departments of Veterans Affairs and Housing and Urban Development, and Independent Agencies Appropriations For 2004, Part 4, February 27, 2003, *

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Publisher :
ISBN 13 :
Total Pages : 1530 pages
Book Rating : 4.3/5 (91 download)

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Book Synopsis 108-1 Hearings: Departments of Veterans Affairs and Housing and Urban Development, and Independent Agencies Appropriations For 2004, Part 4, February 27, 2003, * by :

Download or read book 108-1 Hearings: Departments of Veterans Affairs and Housing and Urban Development, and Independent Agencies Appropriations For 2004, Part 4, February 27, 2003, * written by and published by . This book was released on 2003 with total page 1530 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Departments of Veterans Affairs and Housing and Urban Development, and Independent Agencies Appropriations for 2004: Office of Science and Technology Policy

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Publisher :
ISBN 13 :
Total Pages : 1558 pages
Book Rating : 4.0/5 (11 download)

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Book Synopsis Departments of Veterans Affairs and Housing and Urban Development, and Independent Agencies Appropriations for 2004: Office of Science and Technology Policy by : United States. Congress. House. Committee on Appropriations. Subcommittee on VA, HUD, and Independent Agencies

Download or read book Departments of Veterans Affairs and Housing and Urban Development, and Independent Agencies Appropriations for 2004: Office of Science and Technology Policy written by United States. Congress. House. Committee on Appropriations. Subcommittee on VA, HUD, and Independent Agencies and published by . This book was released on 2003 with total page 1558 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Innovative Approaches in Agent-Based Modelling and Business Intelligence

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Publisher : Springer
ISBN 13 : 9811318492
Total Pages : 284 pages
Book Rating : 4.8/5 (113 download)

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Book Synopsis Innovative Approaches in Agent-Based Modelling and Business Intelligence by : Setsuya Kurahashi

Download or read book Innovative Approaches in Agent-Based Modelling and Business Intelligence written by Setsuya Kurahashi and published by Springer. This book was released on 2018-12-08 with total page 284 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book thoroughly prepares intermediate-level readers for research in social science, organization studies, economics, finance, marketing science, and business science as complex adaptive systems. It presents the advantages of social simulation studies and business intelligence to those who are not familiar with the computational research approach, and offers experienced modelers various instructive examples of using agent-based modeling and business intelligence approaches to inspire their own work. In addition, the book discusses cutting-edge techniques for complex adaptive systems using their applications. To date, business science studies have focused only on data science and analyses of business problems. However, using these studies to enhance the capabilities of conventional techniques in the fields has not been investigated adequately. This book addresses managing the issues of societies, firms, and organizations to profit from interaction with agent-based modeling, human- and computer- mixed systems, and business intelligence approaches, an area that is fundamental for complex but bounded rational business environments. With detailed research by leading authors in the field, Innovative Approaches in Agent-Based Modelling and Business Intelligence inspires readers to join with other disciplines and extend the scope of the book with their own unique contributions. It also includes the common challenges encountered in computational social science and business science to enable researchers, students, and professionals to resolve their own problems.

Evolutionary Computation in Gene Regulatory Network Research

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Publisher : John Wiley & Sons
ISBN 13 : 1118911512
Total Pages : 464 pages
Book Rating : 4.1/5 (189 download)

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Book Synopsis Evolutionary Computation in Gene Regulatory Network Research by : Hitoshi Iba

Download or read book Evolutionary Computation in Gene Regulatory Network Research written by Hitoshi Iba and published by John Wiley & Sons. This book was released on 2016-02-23 with total page 464 pages. Available in PDF, EPUB and Kindle. Book excerpt: Introducing a handbook for gene regulatory network research using evolutionary computation, with applications for computer scientists, computational and system biologists This book is a step-by-step guideline for research in gene regulatory networks (GRN) using evolutionary computation (EC). The book is organized into four parts that deliver materials in a way equally attractive for a reader with training in computation or biology. Each of these sections, authored by well-known researchers and experienced practitioners, provides the relevant materials for the interested readers. The first part of this book contains an introductory background to the field. The second part presents the EC approaches for analysis and reconstruction of GRN from gene expression data. The third part of this book covers the contemporary advancements in the automatic construction of gene regulatory and reaction networks and gives direction and guidelines for future research. Finally, the last part of this book focuses on applications of GRNs with EC in other fields, such as design, engineering and robotics. • Provides a reference for current and future research in gene regulatory networks (GRN) using evolutionary computation (EC) • Covers sub-domains of GRN research using EC, such as expression profile analysis, reverse engineering, GRN evolution, applications • Contains useful contents for courses in gene regulatory networks, systems biology, computational biology, and synthetic biology • Delivers state-of-the-art research in genetic algorithms, genetic programming, and swarm intelligence Evolutionary Computation in Gene Regulatory Network Research is a reference for researchers and professionals in computer science, systems biology, and bioinformatics, as well as upper undergraduate, graduate, and postgraduate students. Hitoshi Iba is a Professor in the Department of Information and Communication Engineering, Graduate School of Information Science and Technology, at the University of Tokyo, Toyko, Japan. He is an Associate Editor of the IEEE Transactions on Evolutionary Computation and the journal of Genetic Programming and Evolvable Machines. Nasimul Noman is a lecturer in the School of Electrical Engineering and Computer Science at the University of Newcastle, NSW, Australia. From 2002 to 2012 he was a faculty member at the University of Dhaka, Bangladesh. Noman is an Editor of the BioMed Research International journal. His research interests include computational biology, synthetic biology, and bioinformatics.

Proceedings Second International Conference on Information Processing

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Publisher : I. K. International Pvt Ltd
ISBN 13 : 8190694243
Total Pages : 690 pages
Book Rating : 4.1/5 (96 download)

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Book Synopsis Proceedings Second International Conference on Information Processing by : L. M. Patnaik

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.

Emerging Trends in Computational Biology, Bioinformatics, and Systems Biology

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Publisher : Morgan Kaufmann
ISBN 13 : 0128026464
Total Pages : 670 pages
Book Rating : 4.1/5 (28 download)

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Book Synopsis Emerging Trends in Computational Biology, Bioinformatics, and Systems Biology by : Hamid R Arabnia

Download or read book Emerging Trends in Computational Biology, Bioinformatics, and Systems Biology written by Hamid R Arabnia and published by Morgan Kaufmann. This book was released on 2015-08-11 with total page 670 pages. Available in PDF, EPUB and Kindle. Book excerpt: Emerging Trends in Computational Biology, Bioinformatics, and Systems Biology discusses the latest developments in all aspects of computational biology, bioinformatics, and systems biology and the application of data-analytics and algorithms, mathematical modeling, and simu- lation techniques. • Discusses the development and application of data-analytical and theoretical methods, mathematical modeling, and computational simulation techniques to the study of biological and behavioral systems, including applications in cancer research, computational intelligence and drug design, high-performance computing, and biology, as well as cloud and grid computing for the storage and access of big data sets. • Presents a systematic approach for storing, retrieving, organizing, and analyzing biological data using software tools with applications to general principles of DNA/RNA structure, bioinformatics and applications, genomes, protein structure, and modeling and classification, as well as microarray analysis. • Provides a systems biology perspective, including general guidelines and techniques for obtaining, integrating, and analyzing complex data sets from multiple experimental sources using computational tools and software. Topics covered include phenomics, genomics, epigenomics/epigenetics, metabolomics, cell cycle and checkpoint control, and systems biology and vaccination research. • Explains how to effectively harness the power of Big Data tools when data sets are so large and complex that it is difficult to process them using conventional database management systems or traditional data processing applications. - Discusses the development and application of data-analytical and theoretical methods, mathematical modeling and computational simulation techniques to the study of biological and behavioral systems. - Presents a systematic approach for storing, retrieving, organizing and analyzing biological data using software tools with applications. - Provides a systems biology perspective including general guidelines and techniques for obtaining, integrating and analyzing complex data sets from multiple experimental sources using computational tools and software.

Academic Press Library in Signal Processing

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Publisher : Academic Press
ISBN 13 : 0123972264
Total Pages : 1559 pages
Book Rating : 4.1/5 (239 download)

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Book Synopsis Academic Press Library in Signal Processing by : Paulo S.R. Diniz

Download or read book Academic Press Library in Signal Processing written by Paulo S.R. Diniz and published by Academic Press. This book was released on 2013-09-21 with total page 1559 pages. Available in PDF, EPUB and Kindle. Book excerpt: This first volume, edited and authored by world leading experts, gives a review of the principles, methods and techniques of important and emerging research topics and technologies in machine learning and advanced signal processing theory. With this reference source you will: - Quickly grasp a new area of research - Understand the underlying principles of a topic and its application - Ascertain how a topic relates to other areas and learn of the research issues yet to be resolved - Quick tutorial reviews of important and emerging topics of research in machine learning - Presents core principles in signal processing theory and shows their applications - Reference content on core principles, technologies, algorithms and applications - Comprehensive references to journal articles and other literature on which to build further, more specific and detailed knowledge - Edited by leading people in the field who, through their reputation, have been able to commission experts to write on a particular topic