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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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Recent Advances in Biological Network Analysis

in Biological Network Analysis: Comparative Network Analysis and Network Module Detection will serve as a great resource for graduate students;

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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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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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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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Analyzing Network Data in Biology and Medicine

biological concepts and biotechnologies producing the data, graph and network theory, cluster analysis and machine learning, before discussing the;

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Analysis of Biological Systems

network modules with respect to a phenotype or biological process of interest.Analysis of Biological Systems collects classical material on;

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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

of data that can stimulate systematic analysis of the entire signalling network and enable prediction of disease states not easily recognizable;

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Weighted Network Analysis

strategies. Gene co-expression networks have been used to study a variety of biological systems, bridging the gap from individual genes to;

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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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Structured Biological Modelling

Structured Biological Modelling presents a straightforward introduction for computer-aided analysis, mathematical modelling, and simulation;

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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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Network Analysis Literacy

. It has proven itself to be useful for the analysis of biological and social networks, but also for networks describing complex systems;

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Computational Systems Biology

Computational Systems Biology: Inference and Modelling provides an introduction to, and overview of, network analysis inference approaches;

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Optimization Methods in Metabolic Networks

network analysis * Reviews the fundamentals of different classes of optimization problems including LP, MILP, MLP and MINLP * Explains the most;

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Temporal Network Theory

fill the border area between network science and time-series analysis and are relevant for the modeling of epidemics, optimization;

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Neuroscience and Connectionist Theory

of how biological data and network models interact with the authors' research. The biological phenomena cover network- or circuit-level phenomena;

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Neuroscience and Connectionist Theory

of how biological data and network models interact with the authors' research. The biological phenomena cover network- or circuit-level phenomena;

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Visual representation of cellular networks

Development of advanced techniques for biological network visualization is crucial for successful progress in the areas of systems-level;

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Biological Networks

Any system with sub-units linked into a whole is known as a network. A biological network is a network of biological systems. It provides a;

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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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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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Mapping Biological Systems to Network Systems

proposes solutions that the symbiotic nature of biological systems can provide into altering networking systems to adapt to these changes. The;

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Introduction to Biological Networks

biological molecules. They also present computational methods for predicting the interaction networks, discuss general mechanisms of network;

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Introduction to Biological Networks

biological molecules. They also present computational methods for predicting the interaction networks, discuss general mechanisms of network;

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