Biological 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. Presents recent advances in biological network analysis, combining Graph Theory, Graph Analysis, and various network models Discusses three major biological networks, including Gene Regulatory Networks (GRN), Protein-Protein Interaction Networks (PPIN) and Human Brain Connectomes Includes a discussion of various graph theoretic and data analytics approaches

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  • Author : Pietro Hiram Guzzi
  • Publisher : Elsevier
  • Pages : 210 pages
  • ISBN : 0128193514
  • Rating : 4/5 from 21 reviews
CLICK HERE TO GET THIS BOOKBiological Network Analysis

Biological Network Analysis

Biological Network Analysis
  • Author : Pietro Hiram Guzzi,Swarup Roy
  • Publisher : Elsevier
  • Release : 11 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
  • Release : 10 March 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

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.

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 : 01 August 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 : 09 August 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

Emergence of Communication in Socio-Biological Networks

Emergence of Communication in Socio-Biological Networks
  • Author : Anamaria Berea
  • Publisher : Springer
  • Release : 16 December 2017
GET THIS BOOKEmergence of Communication in Socio-Biological Networks

This book integrates current advances in biology, economics of information and linguistics research through applications using agent-based modeling and social network analysis to develop scenarios of communication and language emergence in the social aspects of biological communications. The book presents a model of communication emergence that can be applied both to human and non-human living organism networks. The model is based on economic concepts and individual behavior fundamental for the study of trust and reputation networks in social science, particularly

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

Fundamentals Of Network Biology

Fundamentals Of Network Biology
  • Author : Zhang Wenjun
  • Publisher : World Scientific
  • Release : 16 May 2018
GET THIS BOOKFundamentals Of Network Biology

As the first comprehensive title on network biology, this book covers a wide range of subjects including scientific fundamentals (graphs, networks, etc) of network biology, construction and analysis of biological networks, methods for identifying crucial nodes in biological networks, link prediction, flow analysis, network dynamics, evolution, simulation and control, ecological networks, social networks, molecular and cellular networks, network pharmacology and network toxicology, big data analytics, and more. Across 12 parts and 26 chapters, with Matlab codes provided for most models and algorithms,

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

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

Handbook on Biological Networks

Handbook on Biological Networks
  • Author : Stefano Boccaletti
  • Publisher : World Scientific
  • Release : 01 August 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

Protein Networks and Pathway Analysis

Protein Networks and Pathway Analysis
  • Author : Yuri Nikolsky,Julie Bryant
  • Publisher : Humana Press
  • Release : 30 November 2011
GET THIS BOOKProtein Networks and Pathway Analysis

From the beginning of the OMICs biology era, science has been pursuing the reduction of the complex "genome-wide" assays in order to understand the essential biology that lies beneath it. In Protein Networks and Pathway Analysis, 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. The volume is divided into three convenient sections, covering the elucidation of protein, compound and gene