Genomic Signal Processing and Statistics, 2009, GENSIPS 2009, IEEE International Workshop on

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Genomic Signal Processing and Statistics, 2006. GENSIPS '06. IEEE International Workshop on

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ISBN 13 : 9781509091805
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GENSIPS

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ISBN 13 :
Total Pages : 37 pages
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Download or read book GENSIPS written by and published by . This book was released on 2010 with total page 37 pages. Available in PDF, EPUB and Kindle. Book excerpt:

GENSIPS '07

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ISBN 13 : 9781424409990
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Download or read book GENSIPS '07 written by and published by . This book was released on 2007 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

Workshop on Genomic Signal Processing and Statistics (GENSIPS).

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Book Synopsis Workshop on Genomic Signal Processing and Statistics (GENSIPS). by :

Download or read book Workshop on Genomic Signal Processing and Statistics (GENSIPS). written by and published by . This book was released on 2004 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

Machinery Prognostics and Prognosis Oriented Maintenance Management

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Publisher : John Wiley & Sons
ISBN 13 : 1118638727
Total Pages : 355 pages
Book Rating : 4.1/5 (186 download)

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Book Synopsis Machinery Prognostics and Prognosis Oriented Maintenance Management by : Jihong Yan

Download or read book Machinery Prognostics and Prognosis Oriented Maintenance Management written by Jihong Yan and published by John Wiley & Sons. This book was released on 2015-02-02 with total page 355 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book gives a complete presentatin of the basic essentials of machinery prognostics and prognosis oriented maintenance management, and takes a look at the cutting-edge discipline of intelligent failure prognosis technologies for condition-based maintenance. Presents an introduction to advanced maintenance systems, and discusses the key technologies for advanced maintenance by providing readers with up-to-date technologies Offers practical case studies on performance evaluation and fault diagnosis technology, fault prognosis and remaining useful life prediction and maintenance scheduling, enhancing the understanding of these technologies Pulls togeter recent developments and varying methods into one volume, complemented by practical examples to provide a complete reference

Emerging Trends in Computational Biology, Bioinformatics, and Systems Biology

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Publisher : Morgan Kaufmann
ISBN 13 : 0128026464
Total Pages : 670 pages
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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.

New Frontiers in Graph Theory

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Publisher : BoD – Books on Demand
ISBN 13 : 9535101153
Total Pages : 530 pages
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Book Synopsis New Frontiers in Graph Theory by : Yagang Zhang

Download or read book New Frontiers in Graph Theory written by Yagang Zhang and published by BoD – Books on Demand. This book was released on 2012-03-02 with total page 530 pages. Available in PDF, EPUB and Kindle. Book excerpt: Nowadays, graph theory is an important analysis tool in mathematics and computer science. Because of the inherent simplicity of graph theory, it can be used to model many different physical and abstract systems such as transportation and communication networks, models for business administration, political science, and psychology and so on. The purpose of this book is not only to present the latest state and development tendencies of graph theory, but to bring the reader far enough along the way to enable him to embark on the research problems of his own. Taking into account the large amount of knowledge about graph theory and practice presented in the book, it has two major parts: theoretical researches and applications. The book is also intended for both graduate and postgraduate students in fields such as mathematics, computer science, system sciences, biology, engineering, cybernetics, and social sciences, and as a reference for software professionals and practitioners.

Genomic Signal Processing

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Publisher : Princeton University Press
ISBN 13 : 1400865263
Total Pages : 314 pages
Book Rating : 4.4/5 (8 download)

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Book Synopsis Genomic Signal Processing by : Ilya Shmulevich

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.

Biotechnology: Concepts, Methodologies, Tools, and Applications

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Publisher : IGI Global
ISBN 13 : 152258904X
Total Pages : 2183 pages
Book Rating : 4.5/5 (225 download)

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Book Synopsis Biotechnology: Concepts, Methodologies, Tools, and Applications by : Management Association, Information Resources

Download or read book Biotechnology: Concepts, Methodologies, Tools, and Applications written by Management Association, Information Resources and published by IGI Global. This book was released on 2019-06-07 with total page 2183 pages. Available in PDF, EPUB and Kindle. Book excerpt: Biotechnology can be defined as the manipulation of biological process, systems, and organisms in the production of various products. With applications in a number of fields such as biomedical, chemical, mechanical, and civil engineering, research on the development of biologically inspired materials is essential to further advancement. Biotechnology: Concepts, Methodologies, Tools, and Applications is a vital reference source for the latest research findings on the application of biotechnology in medicine, engineering, agriculture, food production, and other areas. It also examines the economic impacts of biotechnology use. Highlighting a range of topics such as pharmacogenomics, biomedical engineering, and bioinformatics, this multi-volume book is ideally designed for engineers, pharmacists, medical professionals, practitioners, academicians, and researchers interested in the applications of biotechnology.

Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications

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Publisher : Springer
ISBN 13 : 3642166873
Total Pages : 588 pages
Book Rating : 4.6/5 (421 download)

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Book Synopsis Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications by : Isabelle Bloch

Download or read book Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications written by Isabelle Bloch and published by Springer. This book was released on 2010-11-02 with total page 588 pages. Available in PDF, EPUB and Kindle. Book excerpt: Pattern recognition is a central topic in contemporary computer sciences, with continuously evolving topics, challenges, and methods, including machine learning, content-based image retrieval, and model- and knowledge-based - proaches, just to name a few. The Iberoamerican Congress on Pattern Recog- tion (CIARP) has become established as a high-quality conference, highlighting the recent evolution of the domain. These proceedings include all papers presented during the 15th edition of this conference, held in Sao Paulo, Brazil, in November 2010. As was the case for previous conferences, CIARP 2010 attracted parti- pants from around the world with the aim of promoting and disseminating - going research on mathematical methods and computing techniques for pattern recognition, computer vision, image analysis, and speech recognition, as well as their applications in such diverse areas as robotics, health, entertainment, space exploration, telecommunications, data mining, document analysis, and natural language processing and recognition, to name only a few of them. Moreover, it provided a forum for scienti?c research, experience exchange, sharing new kno- edge and increasing cooperation between research groups in pattern recognition and related areas. It is important to underline that these conferences have contributed sign- icantly to the growth of national associations for pattern recognition in the Iberoamerican region, all of them as members of the International Association for Pattern Recognition (IAPR).

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.

Emerging Research in the Analysis and Modeling of Gene Regulatory Networks

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Publisher : IGI Global
ISBN 13 : 1522503544
Total Pages : 437 pages
Book Rating : 4.5/5 (225 download)

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Book Synopsis Emerging Research in the Analysis and Modeling of Gene Regulatory Networks by : Ivanov, Ivan V.

Download or read book Emerging Research in the Analysis and Modeling of Gene Regulatory Networks written by Ivanov, Ivan V. and published by IGI Global. This book was released on 2016-06-06 with total page 437 pages. Available in PDF, EPUB and Kindle. Book excerpt: While technological advancements have been critical in allowing researchers to obtain more and better quality data about cellular processes and signals, the design and practical application of computational models of genomic regulation continues to be a challenge. Emerging Research in the Analysis and Modeling of Gene Regulatory Networks presents a compilation of recent and emerging research topics addressing the design and use of technology in the study and simulation of genomic regulation. Exploring both theoretical and practical topics, this publication is an essential reference source for students, professionals, and researchers working in the fields of genomics, molecular biology, bioinformatics, and drug development.

Quantitative Assessment and Validation of Network Inference Methods in Bioinformatics

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Publisher : Frontiers Media SA
ISBN 13 : 2889194787
Total Pages : 192 pages
Book Rating : 4.8/5 (891 download)

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Book Synopsis Quantitative Assessment and Validation of Network Inference Methods in Bioinformatics by : Benjamin Haibe-Kains

Download or read book Quantitative Assessment and Validation of Network Inference Methods in Bioinformatics written by Benjamin Haibe-Kains and published by Frontiers Media SA. This book was released on 2015-04-14 with total page 192 pages. Available in PDF, EPUB and Kindle. Book excerpt: Scientists today have access to an unprecedented arsenal of high-tech tools that can be used to thoroughly characterize biological systems of interest. High-throughput “omics” technologies enable to generate enormous quantities of data at the DNA, RNA, epigenetic and proteomic levels. One of the major challenges of the post-genomic era is to extract functional information by integrating such heterogeneous high-throughput genomic data. This is not a trivial task as we are increasingly coming to understand that it is not individual genes, but rather biological pathways and networks that drive an organism’s response to environmental factors and the development of its particular phenotype. In order to fully understand the way in which these networks interact (or fail to do so) in specific states (disease for instance), we must learn both, the structure of the underlying networks and the rules that govern their behavior. In recent years there has been an increasing interest in methods that aim to infer biological networks. These methods enable the opportunity for better understanding the interactions between genomic features and the overall structure and behavior of the underlying networks. So far, such network models have been mainly used to identify and validate new interactions between genes of interest. But ultimately, one could use these networks to predict large-scale effects of perturbations, such as treatment by multiple targeted drugs. However, currently, we are still at an early stage of comprehending methods and approaches providing a robust statistical framework to quantitatively assess the quality of network inference and its predictive potential. The scope of this Research Topic in Bioinformatics and Computational Biology aims at addressing these issues by investigating the various, complementary approaches to quantify the quality of network models. These “validation” techniques could focus on assessing quality of specific interactions, global and local structures, and predictive ability of network models. These methods could rely exclusively on in silico evaluation procedures or they could be coupled with novel experimental designs to generate the biological data necessary to properly validate inferred networks.

Biologically-Inspired Energy Harvesting through Wireless Sensor Technologies

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Publisher : IGI Global
ISBN 13 : 1466697938
Total Pages : 343 pages
Book Rating : 4.4/5 (666 download)

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Book Synopsis Biologically-Inspired Energy Harvesting through Wireless Sensor Technologies by : Ponnusamy, Vasaki

Download or read book Biologically-Inspired Energy Harvesting through Wireless Sensor Technologies written by Ponnusamy, Vasaki and published by IGI Global. This book was released on 2016-04-05 with total page 343 pages. Available in PDF, EPUB and Kindle. Book excerpt: The need for sustainable sources of energy has become more prevalent in an effort to conserve natural resources, as well as optimize the performance of wireless networks in daily life. Renewable sources of energy also help to cut costs while still providing a reliable power sources. Biologically-Inspired Energy Harvesting through Wireless Sensor Technologies highlights emerging research in the areas of sustainable energy management and transmission technologies. Featuring technological advancements in green technology, energy harvesting, sustainability, networking, and autonomic computing, as well as bio-inspired algorithms and solutions utilized in energy management, this publication is an essential reference source for researchers, academicians, and students interested in renewable or sustained energy in wireless networks.

Bioinformatics

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Publisher : IGI Global
ISBN 13 : 146663605X
Total Pages : 1826 pages
Book Rating : 4.4/5 (666 download)

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Book Synopsis Bioinformatics by : Information Resources Management Association

Download or read book Bioinformatics written by Information Resources Management Association and published by IGI Global. This book was released on 2013-03-31 with total page 1826 pages. Available in PDF, EPUB and Kindle. Book excerpt: "Bioinformatics: Concepts, Methodologies, Tools, and Applications highlights the area of bioinformatics and its impact over the medical community with its innovations that change how we recognize and care for illnesses"--Provided by publisher.

Computational Advancement in Communication Circuits and Systems

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Publisher : Springer
ISBN 13 : 8132222741
Total Pages : 498 pages
Book Rating : 4.1/5 (322 download)

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Book Synopsis Computational Advancement in Communication Circuits and Systems by : Koushik Maharatna

Download or read book Computational Advancement in Communication Circuits and Systems written by Koushik Maharatna and published by Springer. This book was released on 2015-03-17 with total page 498 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book comprises the proceedings of 1st International Conference on Computational Advancement in Communication Circuits and Systems (ICCACCS 2014) organized by Narula Institute of Technology under the patronage of JIS group, affiliated to West Bengal University of Technology. The conference was supported by Technical Education Quality Improvement Program (TEQIP), New Delhi, India and had technical collaboration with IEEE Kolkata Section, along with publication partner by Springer. The book contains 62 refereed papers that aim to highlight new theoretical and experimental findings in the field of Electronics and communication engineering including interdisciplinary fields like Advanced Computing, Pattern Recognition and Analysis, Signal and Image Processing. The proceedings cover the principles, techniques and applications in microwave & devices, communication & networking, signal & image processing, and computations & mathematics & control. The proceedings reflect the conference’s emphasis on strong methodological approaches and focus on applications within the domain of Computational Advancement in Communication Circuits and Systems. The content also emphasizes the emerging technologies in the Electronics and Communication field together in close examinations of practices, problems and trends.