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Analysis of Biological Networks

An introduction to biological networks and methods for their analysis Analysis of Biological Networks is the first book of its kind to;

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Biological Network Analysis

Biological Network Analysis: Trends, Approaches, Graph Theory, and Algorithms considers three major biological networks, including Gene;

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Modeling and Analysis of Signal Transduction Networks

Biological pathways, such as signaling networks, are a key component of biological systems of each living cell. In fact, malfunctions;

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Network Biology

Biological network analysis is a fast moving science. Many core scientific issues; for example, ecological structure, coevolution;

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Structural Bioinformatics Handbook

Structural bioinformatics is a rapidly progressing field that deals with the determination and analysis of macromolecular biological;

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Fundamentals Of Network Biology

, networks, etc) of network biology, construction and analysis of biological networks, methods for identifying crucial nodes in biological networks;

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Bioinformatics and Biomedical Engineering

image analysis, biomedical signal analysis, computational genomics, computational proteomics, computational systems for modelling biological;

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Bioinformatics and Biomedical Engineering

image analysis, biomedical signal analysis, computational genomics, computational proteomics, computational systems for modelling biological;

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Statistical And Evolutionary Analysis Of Biological Networks

progress has been achieved to interpret various types of biological network data such as transcriptomic, metabolomic and protein interaction data;

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Complexity in Biological Information Processing

scientists, this book takes an interdisciplinary approach that may help switch the analysis of biological signalling from descriptive to predictive;

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Systems Evolutionary Biology

Systems Evolutionary Biology: Biological Network Evolution Theory, Stochastic Evolutionary Game Strategies, and Applications to Systems;

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Artificial Neural Networks in Biological and Environmental Analysis

environmental processes. Artificial Neural Networks in Biological and Environmental Analysis provides an in-depth and timely perspective on the;

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Artificial Neural Networks in Biological and Environmental Analysis

environmental processes. Artificial Neural Networks in Biological and Environmental Analysis provides an in-depth and timely perspective on the;

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Weighted Network Analysis

High-throughput measurements of gene expression and genetic marker data facilitate systems biologic and systems genetic data analysis;

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Systems Biology

, and through system analysis methods; (iii) system control methods at different levels of biological networks, which provide an understanding;

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Networks in Systems Biology

modeling and analysis of large volumes of biological data. Gathering contributions from renowned experts in the field, some of the topics discussed;

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Network Models for Control and Processing

related fields. These cover: control processes, modelling features and operations of biological neural networks and neurons, simulation;

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Chemical Biophysics

Chemical Biophysics provides an engineering-based approach to biochemical system analysis for graduate level courses on systems biology;

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Chemical Biophysics

Chemical Biophysics provides an engineering-based approach to biochemical system analysis for graduate-level courses on systems biology;

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Clustering Challenges In Biological Networks

This volume presents a collection of papers dealing with various aspects of clustering in biological networks and other related problems;

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Handbook On Biological Networks

their isolated constituents, giving rise to a new area of interest in research - the study of complex networks. In a broad sense, biological;

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Statistical and Machine Learning Approaches for Network Analysis

for Network Analysis provides an accessible framework for structurally analyzing graphs by bringing together known and novel approaches on;

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Hybrid Systems Biology

population models in biology (e.g. mixed-effects and Bayesian modeling); biological applications of quantitative and formal analysis techniques (e.g;

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Theoretical Physics for Biological Systems

of biological networks topology, such as vulnerability to external stress and their dynamic response to changing physiological conditions. A theory;

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Theoretical Physics for Biological Systems

of biological networks topology, such as vulnerability to external stress and their dynamic response to changing physiological conditions. A theory;

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Computational Advances in Bio and Medical Sciences

submissions. They deal with topics such as computational biology; biomedical image analysis; biological networks; cancer genomics; gene enrichment;

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Principal Component Neural Networks

Systematically explores the relationship between principal component analysis (PCA) and neural networks. Provides a synergistic examination;

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