Functional Coherence Of Molecular Networks In Bioinformatics PDF Download

Are you looking for read ebook online? Search for your book and save it on your Kindle device, PC, phones or tablets. Download Functional Coherence Of Molecular Networks In Bioinformatics PDF full book. Access full book title Functional Coherence Of Molecular Networks In Bioinformatics.

Functional Coherence of Molecular Networks in Bioinformatics

Functional Coherence of Molecular Networks in Bioinformatics
Author: Mehmet Koyutürk
Publisher: Springer Science & Business Media
Total Pages: 235
Release: 2011-09-22
Genre: Science
ISBN: 1461403200

Download Functional Coherence of Molecular Networks in Bioinformatics Book in PDF, ePub and Kindle

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

Functional Coherence of Molecular Networks in Bioinformatics
Author: Mehmet Koyutürk
Publisher:
Total Pages:
Release: 2012
Genre: Bioinformatics
ISBN: 9781283355933

Download Functional Coherence of Molecular Networks in Bioinformatics Book in PDF, ePub and Kindle

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


Summarizing Biological Networks

Summarizing Biological Networks
Author: Sourav S. Bhowmick
Publisher: Springer
Total Pages: 159
Release: 2017-04-17
Genre: Computers
ISBN: 331954621X

Download Summarizing Biological Networks Book in PDF, ePub and Kindle

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.


Biomolecular Networks

Biomolecular Networks
Author: Luonan Chen
Publisher: John Wiley & Sons
Total Pages: 416
Release: 2009-06-29
Genre: Computers
ISBN: 9780470488058

Download Biomolecular Networks Book in PDF, ePub and Kindle

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.


Recent Advances in Biological Network Analysis

Recent Advances in Biological Network Analysis
Author: Byung-Jun Yoon
Publisher: Springer Nature
Total Pages: 220
Release: 2021-01-13
Genre: Medical
ISBN: 3030571734

Download Recent Advances in Biological Network Analysis Book in PDF, ePub and Kindle

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.


Modeling and Analysis of Bio-molecular Networks

Modeling and Analysis of Bio-molecular Networks
Author: Jinhu Lü
Publisher: Springer Nature
Total Pages: 464
Release: 2020-12-06
Genre: Science
ISBN: 981159144X

Download Modeling and Analysis of Bio-molecular Networks Book in PDF, ePub and Kindle

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.


Computational Network Analysis with R

Computational Network Analysis with R
Author: Matthias Dehmer
Publisher: John Wiley & Sons
Total Pages: 368
Release: 2016-07-22
Genre: Medical
ISBN: 3527694404

Download Computational Network Analysis with R Book in PDF, ePub and Kindle

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.


Computational Intelligence for Network Structure Analytics

Computational Intelligence for Network Structure Analytics
Author: Maoguo Gong
Publisher: Springer
Total Pages: 293
Release: 2017-09-19
Genre: Computers
ISBN: 9811045585

Download Computational Intelligence for Network Structure Analytics Book in PDF, ePub and Kindle

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.


Issues in Bioengineering and Bioinformatics: 2011 Edition

Issues in Bioengineering and Bioinformatics: 2011 Edition
Author:
Publisher: ScholarlyEditions
Total Pages: 1824
Release: 2012-01-09
Genre: Science
ISBN: 1464964173

Download Issues in Bioengineering and Bioinformatics: 2011 Edition Book in PDF, ePub and Kindle

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/.


Handbook on Biological Networks

Handbook on Biological Networks
Author: Stefano Boccaletti
Publisher: World Scientific
Total Pages: 465
Release: 2010
Genre: Science
ISBN: 9812838791

Download Handbook on Biological Networks Book in PDF, ePub and Kindle

Networked systems are all around us. The accumulated evidence of systems as complex as a cell cannot be fully understood by studying only their isolated constituents, giving rise to a new area of interest in research ? the study of complex networks. In a broad sense, biological networks have been one of the most studied networks, and the field has benefited from many important contributions. By understanding and modeling the structure of a biological network, a better perception of its dynamical and functional behavior is to be expected. This unique book compiles the most relevant results and novel insights provided by network theory in the biological sciences, ranging from the structure and dynamics of the brain to cellular and protein networks and to population-level biology.