Analysis of Biological Networks

An introduction to biological networks and methods for theiranalysis Analysis of Biological Networks is the first book of itskind to provide readers with a comprehensive introduction to thestructural analysis of biological networks at the interface ofbiology and computer science. The book begins with a brief overviewof biological networks and graph theory/graph algorithms and goeson to explore: global network properties, network centralities,network motifs, network clustering, Petri nets, signal transductionand gene regulation networks, protein interaction networks,metabolic networks, phylogenetic networks, ecological networks, andcorrelation networks. Analysis of Biological Networks is a self-containedintroduction to this important research topic, assumes no expertknowledge in computer science or biology, and is accessible toprofessionals and students alike. Each chapter concludes with asummary of main points and with exercises for readers to test theirunderstanding of the material presented. Additionally, an FTP sitewith links to author-provided data for the book is available fordeeper study. This book is suitable as a resource for researchers in computerscience, biology, bioinformatics, advanced biochemistry, and thelife sciences, and also serves as an ideal reference text forgraduate-level courses in bioinformatics and biologicalresearch.

Produk Detail:

  • Author : Björn H. Junker
  • Publisher : John Wiley & Sons
  • Pages : 368 pages
  • ISBN : 1118209915
  • Rating : 4/5 from 21 reviews
CLICK HERE TO GET THIS BOOKAnalysis of Biological Networks

Analysis of Biological Networks

Analysis of Biological Networks
  • Author : Björn H. Junker,Falk Schreiber
  • Publisher : John Wiley & Sons
  • Release : 20 September 2011
GET THIS BOOKAnalysis of Biological Networks

An introduction to biological networks and methods for theiranalysis Analysis of Biological Networks is the first book of itskind to provide readers with a comprehensive introduction to thestructural analysis of biological networks at the interface ofbiology and computer science. The book begins with a brief overviewof biological networks and graph theory/graph algorithms and goeson to explore: global network properties, network centralities,network motifs, network clustering, Petri nets, signal transductionand gene regulation networks, protein interaction networks,metabolic networks, phylogenetic networks,

Biological Network Analysis

Biological Network Analysis
  • Author : Pietro Hiram Guzzi,Swarup Roy
  • Publisher : Academic Press
  • Release : 26 May 2020
GET THIS BOOKBiological Network Analysis

Biological Network Analysis: Trends, Approaches, Graph Theory, and Algorithms considers three major biological networks, including Gene Regulatory Networks (GRN), Protein-Protein Interaction Networks (PPIN), and Human Brain Connectomes. The book's authors discuss various graph theoretic and data analytics approaches used to analyze these networks with respect to available tools, technologies, standards, algorithms and databases for generating, representing and analyzing graphical data. As a wide variety of algorithms have been developed to analyze and compare networks, this book is a timely resource.

Recent Advances in Biological Network Analysis

Recent Advances in Biological Network Analysis
  • Author : Byung-Jun Yoon,Xiaoning Qian
  • Publisher : Springer Nature
  • Release : 13 January 2021
GET THIS BOOKRecent Advances in Biological Network Analysis

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

Statistical and Evolutionary Analysis of Biological Networks

Statistical and Evolutionary Analysis of Biological Networks
  • Author : Michael P. H. Stumpf,Carsten Wiuf
  • Publisher : World Scientific
  • Release : 07 May 2021
GET THIS BOOKStatistical and Evolutionary Analysis of Biological Networks

Networks provide a very useful way to describe a wide range of different data types in biology, physics and elsewhere. Apart from providing a convenient tool to visualize highly dependent data, networks allow stringent mathematical and statistical analysis. In recent years, much progress has been achieved to interpret various types of biological network data such as transcriptomic, metabolomic and protein interaction data as well as epidemiological data. Of particular interest is to understand the organization, complexity and dynamics of biological

Computational Network Analysis with R

Computational Network Analysis with R
  • Author : Matthias Dehmer,Yongtang Shi,Frank Emmert-Streib
  • Publisher : John Wiley & Sons
  • Release : 12 December 2016
GET THIS BOOKComputational Network Analysis with R

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

Biological Networks and Pathway Analysis

Biological Networks and Pathway Analysis
  • Author : Tatiana V. Tatarinova,Yuri Nikolsky
  • Publisher : Humana Press
  • Release : 29 August 2017
GET THIS BOOKBiological Networks and Pathway Analysis

In this volume, expert practitioners present a compilation of methods of functional data analysis (often referred to as “systems biology”) and its applications in drug discovery, medicine, and basic disease research. It covers such important issues as the elucidation of protein, compound and gene interactions, as well as analytical tools, including networks, interactome and ontologies, and clinical applications of functional analysis. As a volume in the highly successful Methods in Molecular Biology series, this work provides detailed description and hands-on

Network Biology

Network Biology
  • Author : Intawat Nookaew
  • Publisher : Springer
  • Release : 03 May 2017
GET THIS BOOKNetwork Biology

This book review series presents current trends in modern biotechnology. The aim is to cover all aspects of this interdisciplinary technology where knowledge, methods and expertise are required from chemistry, biochemistry, microbiology, genetics, chemical engineering and computer science. Volumes are organized topically and provide a comprehensive discussion of developments in the respective field over the past 3-5 years. The series also discusses new discoveries and applications. Special volumes are dedicated to selected topics which focus on new biotechnological products and

Network Biology

Network Biology
  • Author : Wenjun Zhang
  • Publisher : Nova Science Pub Incorporated
  • Release : 01 January 2013
GET THIS BOOKNetwork Biology

Biological network analysis is a fast moving science. Many core scientific issues; for example, ecological structure, coevolution, coextinction and biodiversity conservation in ecology, cancer development and metabolic regulation in health science, etc., are expected to be addressed by network analysis. Network analysis is becoming the core methodology to treat complex biological systems. With the quick development of this science, more and more papers on biological networks are published. This book includes such theories and methods of network biology as methodology

Weighted Network Analysis

Weighted Network Analysis
  • Author : Steve Horvath
  • Publisher : Springer Science & Business Media
  • Release : 30 April 2011
GET THIS BOOKWeighted Network Analysis

High-throughput measurements of gene expression and genetic marker data facilitate systems biologic and systems genetic data analysis strategies. Gene co-expression networks have been used to study a variety of biological systems, bridging the gap from individual genes to biologically or clinically important emergent phenotypes.

Artificial Neural Networks in Biological and Environmental Analysis

Artificial Neural Networks in Biological and Environmental Analysis
  • Author : Grady Hanrahan
  • Publisher : CRC Press
  • Release : 18 January 2011
GET THIS BOOKArtificial Neural Networks in Biological and Environmental Analysis

Originating from models of biological neural systems, artificial neural networks (ANN) are the cornerstones of artificial intelligence research. Catalyzed by the upsurge in computational power and availability, and made widely accessible with the co-evolution of software, algorithms, and methodologies, artificial neural networks have had a profound impact in the elucidation of complex biological, chemical, and environmental processes. Artificial Neural Networks in Biological and Environmental Analysis provides an in-depth and timely perspective on the fundamental, technological, and applied aspects of computational

Thermodynamic Network Analysis of Biological Systems

Thermodynamic Network Analysis of Biological Systems
  • Author : J. Schnakenberg
  • Publisher : Springer Science & Business Media
  • Release : 06 December 2012
GET THIS BOOKThermodynamic Network Analysis of Biological Systems

The first edition of this book was greeted with broad interest from readers en gaged in various disciplines of biophysics. I received many stimulating and en couraging responses, however, some of the book's reviewers wanted to stress the fact that an extensive literature of network theory was not included or reported in the book. But the main aspect of the book is intended to be substantive rather than methodical: networks simply serve as a remedy for doing some first steps

Handbook on Biological Networks

Handbook on Biological Networks
  • Author : Stefano Boccaletti
  • Publisher : World Scientific
  • Release : 07 May 2021
GET THIS BOOKHandbook on Biological Networks

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 OCo 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

Summarizing Biological Networks

Summarizing Biological Networks
  • Author : Sourav S. Bhowmick,Boon-Siew Seah
  • Publisher : Springer
  • Release : 17 April 2017
GET THIS BOOKSummarizing Biological Networks

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

Biological Networks

Biological Networks
  • Author : Francois Kepes
  • Publisher : World Scientific
  • Release : 07 May 2021
GET THIS BOOKBiological Networks

This volume presents a timely and comprehensive overview of biological networks at all organization levels in the spirit of the complex systems approach. It discusses the transversal issues and fundamental principles as well as the overall structure, dynamics, and modeling of a wide array of biological networks at the molecular, cellular, and population levels. Anchored in both empirical data and a strong theoretical background, the book therefore lends valuable credence to the complex systems approach. Sample Chapter(s). Chapter 1: Scale-Free