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Clustering Challenges In Biological Networks
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Book Synopsis Clustering Challenges in Biological Networks by : Sergiy Butenko
Download or read book Clustering Challenges in Biological Networks written by Sergiy Butenko and published by World Scientific. This book was released on 2009 with total page 347 pages. Available in PDF, EPUB and Kindle. Book excerpt: This text offers introductory knowledge of a wide range of clustering and other quantitative techniques used to solve biological problems.
Book Synopsis Clustering Challenges in Biological Networks by :
Download or read book Clustering Challenges in Biological Networks written by and published by . This book was released on with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Clustering Challenges in Biological Networks by : Sergiy Butenko
Download or read book Clustering Challenges in Biological Networks written by Sergiy Butenko and published by World Scientific. This book was released on 2009 with total page 347 pages. Available in PDF, EPUB and Kindle. Book excerpt: This text offers introductory knowledge of a wide range of clustering and other quantitative techniques used to solve biological problems.
Book Synopsis Summarizing Biological Networks by : Sourav S. Bhowmick
Download or read book Summarizing Biological Networks written by Sourav S. Bhowmick and published by Springer. This book was released on 2017-04-17 with total page 146 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book focuses on the data mining, systems biology, and bioinformatics computational methods that can be used to summarize biological networks. Specifically, it discusses an array of techniques related to biological network clustering, network summarization, and differential network analysis which enable readers to uncover the functional and topological organization hidden in a large biological network. The authors also examine crucial open research problems in this arena. Academics, researchers, and advanced-level students will find this book to be a comprehensive and exceptional resource for understanding computational techniques and their applications for a summary of biological networks.
Book Synopsis Recent Advances in Biological Network Analysis by : Byung-Jun Yoon
Download or read book Recent Advances in Biological Network Analysis written by Byung-Jun Yoon and published by Springer Nature. This book was released on 2021-01-13 with total page 220 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book reviews recent advances in the emerging field of computational network biology with special emphasis on comparative network analysis and network module detection. The chapters in this volume are contributed by leading international researchers in computational network biology and offer in-depth insight on the latest techniques in network alignment, network clustering, and network module detection. Chapters discuss the advantages of the respective techniques and present the current challenges and open problems in the field. Recent Advances in Biological Network Analysis: Comparative Network Analysis and Network Module Detection will serve as a great resource for graduate students, academics, and researchers who are currently working in areas relevant to computational network biology or wish to learn more about the field. Data scientists whose work involves the analysis of graphs, networks, and other types of data with topological structure or relations can also benefit from the book's insights.
Book Synopsis Data Clustering by : Charu C. Aggarwal
Download or read book Data Clustering written by Charu C. Aggarwal and published by CRC Press. This book was released on 2018-09-03 with total page 654 pages. Available in PDF, EPUB and Kindle. Book excerpt: Research on the problem of clustering tends to be fragmented across the pattern recognition, database, data mining, and machine learning communities. Addressing this problem in a unified way, Data Clustering: Algorithms and Applications provides complete coverage of the entire area of clustering, from basic methods to more refined and complex data clustering approaches. It pays special attention to recent issues in graphs, social networks, and other domains. The book focuses on three primary aspects of data clustering: Methods, describing key techniques commonly used for clustering, such as feature selection, agglomerative clustering, partitional clustering, density-based clustering, probabilistic clustering, grid-based clustering, spectral clustering, and nonnegative matrix factorization Domains, covering methods used for different domains of data, such as categorical data, text data, multimedia data, graph data, biological data, stream data, uncertain data, time series clustering, high-dimensional clustering, and big data Variations and Insights, discussing important variations of the clustering process, such as semisupervised clustering, interactive clustering, multiview clustering, cluster ensembles, and cluster validation In this book, top researchers from around the world explore the characteristics of clustering problems in a variety of application areas. They also explain how to glean detailed insight from the clustering process—including how to verify the quality of the underlying clusters—through supervision, human intervention, or the automated generation of alternative clusters.
Book Synopsis Theory and Applications of Models of Computation by : Manindra Agrawal
Download or read book Theory and Applications of Models of Computation written by Manindra Agrawal and published by Springer. This book was released on 2008-04-30 with total page 598 pages. Available in PDF, EPUB and Kindle. Book excerpt: This proceedings volume examines all major areas in computer science, mathematics (especially logic) and the physical sciences, especially computation, algorithms, complexity and computability theory.
Book Synopsis Transactions on Large-Scale Data- and Knowledge-Centered Systems XXXIX by : Abdelkader Hameurlain
Download or read book Transactions on Large-Scale Data- and Knowledge-Centered Systems XXXIX written by Abdelkader Hameurlain and published by Springer. This book was released on 2018-11-22 with total page 227 pages. Available in PDF, EPUB and Kindle. Book excerpt: This, the 39th issue of Transactions on Large-Scale Data- and Knowledge-Centered Systems, contains extended and revised versions of seven papers selected from the 37 contributions presented at the 28th International Conference on Database and Expert Systems Applications, DEXA 2017, held in Lyon, France, in August 2017. Topics covered include knowledge bases, clustering algorithms, parallel frequent itemset mining, model-driven engineering, virtual machines, recommendation systems, and federated SPARQL query processing.
Book Synopsis Analysis of Biological Networks by : Björn H. Junker
Download or read book Analysis of Biological Networks written by Björn H. Junker and published by John Wiley & Sons. This book was released on 2011-09-20 with total page 278 pages. Available in PDF, EPUB and Kindle. Book excerpt: An introduction to biological networks and methods for their analysis Analysis of Biological Networks is the first book of its kind to provide readers with a comprehensive introduction to the structural analysis of biological networks at the interface of biology and computer science. The book begins with a brief overview of biological networks and graph theory/graph algorithms and goes on to explore: global network properties, network centralities, network motifs, network clustering, Petri nets, signal transduction and gene regulation networks, protein interaction networks, metabolic networks, phylogenetic networks, ecological networks, and correlation networks. Analysis of Biological Networks is a self-contained introduction to this important research topic, assumes no expert knowledge in computer science or biology, and is accessible to professionals and students alike. Each chapter concludes with a summary of main points and with exercises for readers to test their understanding of the material presented. Additionally, an FTP site with links to author-provided data for the book is available for deeper study. This book is suitable as a resource for researchers in computer science, biology, bioinformatics, advanced biochemistry, and the life sciences, and also serves as an ideal reference text for graduate-level courses in bioinformatics and biological research.
Book Synopsis Learning and Intelligent Optimization by : Nikolaos F. Matsatsinis
Download or read book Learning and Intelligent Optimization written by Nikolaos F. Matsatsinis and published by Springer Nature. This book was released on 2020-01-21 with total page 412 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the thoroughly refereed pChania, Crete, Greece, in May 2019. The 38 full papers presented have been carefully reviewed and selected from 52 submissions. The papers focus on advancedresearch developments in such interconnected fields as mathematical programming, global optimization, machine learning, and artificial intelligence and describe advanced ideas, technologies, methods, and applications in optimization and machine learning.
Author :Wanpracha Chaovalitwongse Publisher :Springer Science & Business Media ISBN 13 :0387886303 Total Pages :330 pages Book Rating :4.3/5 (878 download)
Book Synopsis Computational Neuroscience by : Wanpracha Chaovalitwongse
Download or read book Computational Neuroscience written by Wanpracha Chaovalitwongse and published by Springer Science & Business Media. This book was released on 2010-07-03 with total page 330 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume includes contributions from diverse disciplines including electrical engineering, biomedical engineering, industrial engineering, and medicine, bridging a vital gap between the mathematical sciences and neuroscience research. Covering a wide range of research topics, this volume demonstrates how various methods from data mining, signal processing, optimization and cutting-edge medical techniques can be used to tackle the most challenging problems in modern neuroscience.
Book Synopsis Encyclopedia of Business Analytics and Optimization by : Wang, John
Download or read book Encyclopedia of Business Analytics and Optimization written by Wang, John and published by IGI Global. This book was released on 2014-02-28 with total page 2754 pages. Available in PDF, EPUB and Kindle. Book excerpt: As the age of Big Data emerges, it becomes necessary to take the five dimensions of Big Data- volume, variety, velocity, volatility, and veracity- and focus these dimensions towards one critical emphasis - value. The Encyclopedia of Business Analytics and Optimization confronts the challenges of information retrieval in the age of Big Data by exploring recent advances in the areas of knowledge management, data visualization, interdisciplinary communication, and others. Through its critical approach and practical application, this book will be a must-have reference for any professional, leader, analyst, or manager interested in making the most of the knowledge resources at their disposal.
Book Synopsis Statistical and Machine Learning Approaches for Network Analysis by : Matthias Dehmer
Download or read book Statistical and Machine Learning Approaches for Network Analysis written by Matthias Dehmer and published by John Wiley & Sons. This book was released on 2012-06-26 with total page 269 pages. Available in PDF, EPUB and Kindle. Book excerpt: Explore the multidisciplinary nature of complex networks through machine learning techniques Statistical and Machine Learning Approaches for Network Analysis provides an accessible framework for structurally analyzing graphs by bringing together known and novel approaches on graph classes and graph measures for classification. By providing different approaches based on experimental data, the book uniquely sets itself apart from the current literature by exploring the application of machine learning techniques to various types of complex networks. Comprised of chapters written by internationally renowned researchers in the field of interdisciplinary network theory, the book presents current and classical methods to analyze networks statistically. Methods from machine learning, data mining, and information theory are strongly emphasized throughout. Real data sets are used to showcase the discussed methods and topics, which include: A survey of computational approaches to reconstruct and partition biological networks An introduction to complex networks—measures, statistical properties, and models Modeling for evolving biological networks The structure of an evolving random bipartite graph Density-based enumeration in structured data Hyponym extraction employing a weighted graph kernel Statistical and Machine Learning Approaches for Network Analysis is an excellent supplemental text for graduate-level, cross-disciplinary courses in applied discrete mathematics, bioinformatics, pattern recognition, and computer science. The book is also a valuable reference for researchers and practitioners in the fields of applied discrete mathematics, machine learning, data mining, and biostatistics.
Book Synopsis Computational Intelligence Methods for Bioinformatics and Biostatistics by : Enrico Formenti
Download or read book Computational Intelligence Methods for Bioinformatics and Biostatistics written by Enrico Formenti and published by Springer. This book was released on 2014-07-15 with total page 281 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the thoroughly refereed post-conference proceedings of the 10th International Meeting on Computational Intelligence Methods for Bioinformatics and Biostatistics, CIBB 2013, held in Nice, France in June 2013. The 19 revised full papers presented were carefully reviewed and selected from 35 submissions. The papers are organized in topical sections on bioinformatics, biostatistics, knowledge based medicine, and data integration and analysis in omic-science.
Book Synopsis Advances in Network Clustering and Blockmodeling by : Patrick Doreian
Download or read book Advances in Network Clustering and Blockmodeling written by Patrick Doreian and published by John Wiley & Sons. This book was released on 2020-02-03 with total page 425 pages. Available in PDF, EPUB and Kindle. Book excerpt: Provides an overview of the developments and advances in the field of network clustering and blockmodeling over the last 10 years This book offers an integrated treatment of network clustering and blockmodeling, covering all of the newest approaches and methods that have been developed over the last decade. Presented in a comprehensive manner, it offers the foundations for understanding network structures and processes, and features a wide variety of new techniques addressing issues that occur during the partitioning of networks across multiple disciplines such as community detection, blockmodeling of valued networks, role assignment, and stochastic blockmodeling. Written by a team of international experts in the field, Advances in Network Clustering and Blockmodeling offers a plethora of diverse perspectives covering topics such as: bibliometric analyses of the network clustering literature; clustering approaches to networks; label propagation for clustering; and treating missing network data before partitioning. It also examines the partitioning of signed networks, multimode networks, and linked networks. A chapter on structured networks and coarsegrained descriptions is presented, along with another on scientific coauthorship networks. The book finishes with a section covering conclusions and directions for future work. In addition, the editors provide numerous tables, figures, case studies, examples, datasets, and more. Offers a clear and insightful look at the state of the art in network clustering and blockmodeling Provides an excellent mix of mathematical rigor and practical application in a comprehensive manner Presents a suite of new methods, procedures, algorithms for partitioning networks, as well as new techniques for visualizing matrix arrays Features numerous examples throughout, enabling readers to gain a better understanding of research methods and to conduct their own research effectively Written by leading contributors in the field of spatial networks analysis Advances in Network Clustering and Blockmodeling is an ideal book for graduate and undergraduate students taking courses on network analysis or working with networks using real data. It will also benefit researchers and practitioners interested in network analysis.
Book Synopsis Experimental Algorithms by : Paola Festa
Download or read book Experimental Algorithms written by Paola Festa and published by Springer Science & Business Media. This book was released on 2010-05-07 with total page 526 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume constitutes the refereed proceedings of the 9th International Symposium on Experimental Algorithms, SEA 2010, held on Ischia Island, Naples, Italy, in May 2010. The 40 revised full papers presented together with two invited papers were carefully reviewed and selected from 73 submissions. The topics covered include algorithm engineering, algorithmic libraries, algorithmic mechanism design, analysis of algorithms, algorithms for memory hierarchies, approximation techniques, bioinformatics, branch and bound algorithms, combinatorial and irregular problems, combinatorial structures and graphs, communication networks, complex networks, computational geometry, computational learning theory, computational optimization, computer systems, cryptography and security, data streams, data structures, distributed and parallel algorithms, evaluation of algorithms for realistic environments, experimental techniques and statistics, graph drawing, heuristics for combinatorial optimization
Book Synopsis Molecular Theory of the Living Cell by : Sungchul Ji
Download or read book Molecular Theory of the Living Cell written by Sungchul Ji and published by Springer Science & Business Media. This book was released on 2012-04-05 with total page 751 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book presents the first comprehensive molecular theory of the living cell ever published since the cell doctrine was formulated in 1838-1839. It introduces into cell biology over thirty key concepts, principles and laws imported from physics, chemistry, computer science, linguistics, semiotics and philosophy. The author formulates physically, chemically and enzymologically realistic molecular mechanisms to account for basic living processes such as ligand-receptor interactions, enzymic catalysis, force-generating mechanisms in molecular motors, chromatin remodelling, and signal transduction. Possible solutions to basic and practical problems facing contemporary biology and biomedical sciences have been suggested, including pharmacotherapeutics and personalized medicine.
