Functional Coherence Of Molecular Networks In Bioinformatics

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Functional Coherence of Molecular Networks in Bioinformatics

Author : Mehmet Koyutürk,Shankar Subramaniam,Ananth Grama
Publisher : Springer Science & Business Media
Page : 235 pages
File Size : 50,6 Mb
Release : 2011-09-22
Category : Science
ISBN : 9781461403203

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Functional Coherence of Molecular Networks in Bioinformatics by Mehmet Koyutürk,Shankar Subramaniam,Ananth Grama Pdf

Molecular networks provide descriptions of the organization of various biological processes, including cellular signaling, metabolism, and genetic regulation. Knowledge on molecular networks is commonly used for systems level analysis of biological function; research and method development in this area has grown tremendously in the past few years. This book will provide a detailed review of existing knowledge on the functional characterization of biological networks. In 15 chapters authored by an international group of prolific systems biology and bioinformatics researchers, it will organize, conceptualize, and summarize the existing core of research results and computational methods on understanding biological function from a network perspective.

Functional Coherence of Molecular Networks in Bioinformatics

Author : Mehmet Koyutürk,Shankar Subramaniam,Ananth Grama
Publisher : Unknown
Page : 128 pages
File Size : 50,8 Mb
Release : 2012
Category : Bioinformatics
ISBN : 1283355930

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Functional Coherence of Molecular Networks in Bioinformatics by Mehmet Koyutürk,Shankar Subramaniam,Ananth Grama Pdf

Molecular networks provide descriptions of the organization of various biological processes, including cellular signaling, metabolism, and genetic regulation. Knowledge on molecular networks is commonly used for systems level analysis of biological function; research and method development in this area has grown tremendously in the past few years. This book will provide a detailed review of existing knowledge on the functional characterization of biological networks. In 15 chapters authored by an international group of prolific systems biology and bioinformatics researchers, it will organize

Computational Intelligence for Network Structure Analytics

Author : Maoguo Gong,Qing Cai,Lijia Ma,Shanfeng Wang,Yu Lei
Publisher : Springer
Page : 283 pages
File Size : 53,6 Mb
Release : 2017-09-19
Category : Computers
ISBN : 9789811045585

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Computational Intelligence for Network Structure Analytics by Maoguo Gong,Qing Cai,Lijia Ma,Shanfeng Wang,Yu Lei Pdf

This book presents the latest research advances in complex network structure analytics based on computational intelligence (CI) approaches, particularly evolutionary optimization. Most if not all network issues are actually optimization problems, which are mostly NP-hard and challenge conventional optimization techniques. To effectively and efficiently solve these hard optimization problems, CI based network structure analytics offer significant advantages over conventional network analytics techniques. Meanwhile, using CI techniques may facilitate smart decision making by providing multiple options to choose from, while conventional methods can only offer a decision maker a single suggestion. In addition, CI based network structure analytics can greatly facilitate network modeling and analysis. And employing CI techniques to resolve network issues is likely to inspire other fields of study such as recommender systems, system biology, etc., which will in turn expand CI’s scope and applications. As a comprehensive text, the book covers a range of key topics, including network community discovery, evolutionary optimization, network structure balance analytics, network robustness analytics, community-based personalized recommendation, influence maximization, and biological network alignment. Offering a rich blend of theory and practice, the book is suitable for students, researchers and practitioners interested in network analytics and computational intelligence, both as a textbook and as a reference work.

Recent Advances in Biological Network Analysis

Author : Byung-Jun Yoon,Xiaoning Qian
Publisher : Springer Nature
Page : 220 pages
File Size : 49,9 Mb
Release : 2021-01-13
Category : Medical
ISBN : 9783030571733

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Recent Advances in Biological Network Analysis by Byung-Jun Yoon,Xiaoning Qian Pdf

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.

Computational Network Analysis with R

Author : Matthias Dehmer,Yongtang Shi,Frank Emmert-Streib
Publisher : John Wiley & Sons
Page : 368 pages
File Size : 51,5 Mb
Release : 2016-07-22
Category : Medical
ISBN : 9783527694402

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Computational Network Analysis with R by Matthias Dehmer,Yongtang Shi,Frank Emmert-Streib Pdf

This new title in the well-established "Quantitative Network Biology" series includes innovative and existing methods for analyzing network data in such areas as network biology and chemoinformatics. With its easy-to-follow introduction to the theoretical background and application-oriented chapters, the book demonstrates that R is a powerful language for statistically analyzing networks and for solving such large-scale phenomena as network sampling and bootstrapping. Written by editors and authors with an excellent track record in the field, this is the ultimate reference for R in Network Analysis.

Issues in Bioengineering and Bioinformatics: 2011 Edition

Author : Anonim
Publisher : ScholarlyEditions
Page : 1824 pages
File Size : 42,8 Mb
Release : 2012-01-09
Category : Science
ISBN : 9781464964176

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Issues in Bioengineering and Bioinformatics: 2011 Edition by Anonim Pdf

Issues in Bioengineering and Bioinformatics: 2011 Edition is a ScholarlyEditions™ eBook that delivers timely, authoritative, and comprehensive information about Bioengineering and Bioinformatics. The editors have built Issues in Bioengineering and Bioinformatics: 2011 Edition on the vast information databases of ScholarlyNews.™ You can expect the information about Bioengineering and Bioinformatics in this eBook to be deeper than what you can access anywhere else, as well as consistently reliable, authoritative, informed, and relevant. The content of Issues in Bioengineering and Bioinformatics: 2011 Edition has been produced by the world’s leading scientists, engineers, analysts, research institutions, and companies. All of the content is from peer-reviewed sources, and all of it is written, assembled, and edited by the editors at ScholarlyEditions™ and available exclusively from us. You now have a source you can cite with authority, confidence, and credibility. More information is available at http://www.ScholarlyEditions.com/.

Encyclopedia of Bioinformatics and Computational Biology

Author : Anonim
Publisher : Elsevier
Page : 3421 pages
File Size : 47,9 Mb
Release : 2018-08-21
Category : Medical
ISBN : 9780128114322

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Encyclopedia of Bioinformatics and Computational Biology by Anonim Pdf

Encyclopedia of Bioinformatics and Computational Biology: ABC of Bioinformatics, Three Volume Set combines elements of computer science, information technology, mathematics, statistics and biotechnology, providing the methodology and in silico solutions to mine biological data and processes. The book covers Theory, Topics and Applications, with a special focus on Integrative –omics and Systems Biology. The theoretical, methodological underpinnings of BCB, including phylogeny are covered, as are more current areas of focus, such as translational bioinformatics, cheminformatics, and environmental informatics. Finally, Applications provide guidance for commonly asked questions. This major reference work spans basic and cutting-edge methodologies authored by leaders in the field, providing an invaluable resource for students, scientists, professionals in research institutes, and a broad swath of researchers in biotechnology and the biomedical and pharmaceutical industries. Brings together information from computer science, information technology, mathematics, statistics and biotechnology Written and reviewed by leading experts in the field, providing a unique and authoritative resource Focuses on the main theoretical and methodological concepts before expanding on specific topics and applications Includes interactive images, multimedia tools and crosslinking to further resources and databases

Bioinformatics and Biomedical Engineering

Author : Ignacio Rojas,Francisco Ortuño
Publisher : Springer
Page : 762 pages
File Size : 53,9 Mb
Release : 2017-03-30
Category : Computers
ISBN : 9783319561547

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Bioinformatics and Biomedical Engineering by Ignacio Rojas,Francisco Ortuño Pdf

This two volume set LNBI 10208 and LNBI 10209 constitutes the proceedings of the 5th International Work-Conference on Bioinformatics and Biomedical Engineering, IWBBIO 2017, held in Granada, Spain, in April 2017. The 122 papers presented were carefully reviewed and selected from 309 submissions. The scope of the conference spans the following areas: advances in computational intelligence for critical care; bioinformatics for healthcare and diseases; biomedical engineering; biomedical image analysis; biomedical signal analysis; biomedicine; challenges representing large-scale biological data; computational genomics; computational proteomics; computational systems for modeling biological processes; data driven biology - new tools, techniques and resources; eHealth; high-throughput bioinformatic tools for genomics; oncological big data and new mathematical tools; smart sensor and sensor-network architectures; time lapse experiments and multivariate biostatistics.

Summarizing Biological Networks

Author : Sourav S. Bhowmick,Boon-Siew Seah
Publisher : Springer
Page : 146 pages
File Size : 42,9 Mb
Release : 2017-04-17
Category : Computers
ISBN : 9783319546216

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Summarizing Biological Networks by Sourav S. Bhowmick,Boon-Siew Seah Pdf

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.

Protein Function Prediction for Omics Era

Author : Daisuke Kihara
Publisher : Springer Science & Business Media
Page : 316 pages
File Size : 55,7 Mb
Release : 2011-04-19
Category : Medical
ISBN : 9789400708815

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Protein Function Prediction for Omics Era by Daisuke Kihara Pdf

Gene function annotation has been a central question in molecular biology. The importance of computational function prediction is increasing because more and more large scale biological data, including genome sequences, protein structures, protein-protein interaction data, microarray expression data, and mass spectrometry data, are awaiting biological interpretation. Traditionally when a genome is sequenced, function annotation of genes is done by homology search methods, such as BLAST or FASTA. However, since these methods are developed before the genomics era, conventional use of them is not necessarily most suitable for analyzing a large scale data. Therefore we observe emerging development of computational gene function prediction methods, which are targeted to analyze large scale data, and also those which use such omics data as additional source of function prediction. In this book, we overview this emerging exciting field. The authors have been selected from 1) those who develop novel purely computational methods 2) those who develop function prediction methods which use omics data 3) those who maintain and update data base of function annotation of particular model organisms (E. coli), which are frequently referred

Biomolecular Networks

Author : Luonan Chen,Rui-Sheng Wang,Xiang-Sun Zhang
Publisher : John Wiley & Sons
Page : 416 pages
File Size : 53,8 Mb
Release : 2009-06-29
Category : Computers
ISBN : 0470488050

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Biomolecular Networks by Luonan Chen,Rui-Sheng Wang,Xiang-Sun Zhang Pdf

Alternative techniques and tools for analyzing biomolecular networks With the recent rapid advances in molecular biology, high-throughput experimental methods have resulted in enormous amounts of data that can be used to study biomolecular networks in living organisms. With this development has come recognition of the fact that a complicated living organism cannot be fully understood by merely analyzing individual components. Rather, it is the interactions of components or biomolecular networks that are ultimately responsible for an organism's form and function. This book addresses the important need for a new set of computational tools to reveal essential biological mechanisms from a systems biology approach. Readers will get comprehensive coverage of analyzing biomolecular networks in cellular systems based on available experimental data with an emphasis on the aspects of network, system, integration, and engineering. Each topic is treated in depth with specific biological problems and novel computational methods: GENE NETWORKS—Transcriptional regulation; reconstruction of gene regulatory networks; and inference of transcriptional regulatory networks PROTEIN INTERACTION NETWORKS—Prediction of protein-protein interactions; topological structure of biomolecular networks; alignment of biomolecular networks; and network-based prediction of protein function METABOLIC NETWORKS AND SIGNALING NETWORKS—Analysis, reconstruction, and applications of metabolic networks; modeling and inference of signaling networks; and other topics and new trends In addition to theoretical results and methods, many computational software tools are referenced and available from the authors' Web sites. Biomolecular Networks is an indispensable reference for researchers and graduate students in bioinformatics, computational biology, systems biology, computer science, and applied mathematics.

Research in Computational Molecular Biology

Author : Martin Vingron,Limsoon Wong
Publisher : Springer
Page : 480 pages
File Size : 43,8 Mb
Release : 2008-04-03
Category : Computers
ISBN : 9783540788393

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Research in Computational Molecular Biology by Martin Vingron,Limsoon Wong Pdf

This book constitutes the refereed proceedings of the 12th Annual International Conference on Research in Computational Molecular Biology, RECOMB 2008. It presents current issues in algorithmic, theoretical, and experimental bioinformatics.

Pattern Recognition in Computational Molecular Biology

Author : Mourad Elloumi,Costas Iliopoulos,Jason T. L. Wang,Albert Y. Zomaya
Publisher : John Wiley & Sons
Page : 656 pages
File Size : 44,9 Mb
Release : 2015-11-30
Category : Technology & Engineering
ISBN : 9781119078852

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Pattern Recognition in Computational Molecular Biology by Mourad Elloumi,Costas Iliopoulos,Jason T. L. Wang,Albert Y. Zomaya Pdf

A comprehensive overview of high-performance pattern recognition techniques and approaches to Computational Molecular Biology This book surveys the developments of techniques and approaches on pattern recognition related to Computational Molecular Biology. Providing a broad coverage of the field, the authors cover fundamental and technical information on these techniques and approaches, as well as discussing their related problems. The text consists of twenty nine chapters, organized into seven parts: Pattern Recognition in Sequences, Pattern Recognition in Secondary Structures, Pattern Recognition in Tertiary Structures, Pattern Recognition in Quaternary Structures, Pattern Recognition in Microarrays, Pattern Recognition in Phylogenetic Trees, and Pattern Recognition in Biological Networks. Surveys the development of techniques and approaches on pattern recognition in biomolecular data Discusses pattern recognition in primary, secondary, tertiary and quaternary structures, as well as microarrays, phylogenetic trees and biological networks Includes case studies and examples to further illustrate the concepts discussed in the book Pattern Recognition in Computational Molecular Biology: Techniques and Approaches is a reference for practitioners and professional researches in Computer Science, Life Science, and Mathematics. This book also serves as a supplementary reading for graduate students and young researches interested in Computational Molecular Biology.

Modeling and Analysis of Bio-molecular Networks

Author : Jinhu Lü,Pei Wang
Publisher : Springer Nature
Page : 464 pages
File Size : 43,6 Mb
Release : 2020-12-06
Category : Science
ISBN : 9789811591440

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Modeling and Analysis of Bio-molecular Networks by Jinhu Lü,Pei Wang Pdf

This book addresses a number of questions from the perspective of complex systems: How can we quantitatively understand the life phenomena? How can we model life systems as complex bio-molecular networks? Are there any methods to clarify the relationships among the structures, dynamics and functions of bio-molecular networks? How can we statistically analyse large-scale bio-molecular networks? Focusing on the modeling and analysis of bio-molecular networks, the book presents various sophisticated mathematical and statistical approaches. The life system can be described using various levels of bio-molecular networks, including gene regulatory networks, and protein-protein interaction networks. It first provides an overview of approaches to reconstruct various bio-molecular networks, and then discusses the modeling and dynamical analysis of simple genetic circuits, coupled genetic circuits, middle-sized and large-scale biological networks, clarifying the relationships between the structures, dynamics and functions of the networks covered. In the context of large-scale bio-molecular networks, it introduces a number of statistical methods for exploring important bioinformatics applications, including the identification of significant bio-molecules for network medicine and genetic engineering. Lastly, the book describes various state-of-art statistical methods for analysing omics data generated by high-throughput sequencing. This book is a valuable resource for readers interested in applying systems biology, dynamical systems or complex networks to explore the truth of nature.

Handbook on Biological Networks

Author : Anonim
Publisher : Unknown
Page : 128 pages
File Size : 53,7 Mb
Release : 2024-06-26
Category : Electronic
ISBN : 9789814468688

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Handbook on Biological Networks by Anonim Pdf