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Statistical And Evolutionary Analysis Of Biological Networks

how these are influenced by network evolution and functionality.This book reviews and explores statistical, mathematical and evolutionary;

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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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Structural Bioinformatics Handbook

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

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Statistical Optimization of Biological Systems

screening design, applying response surface methodology, and conducting regression modeling Demonstrates the statistical analysis and optimization;

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Statistical and Machine Learning Approaches for Network Analysis

partition biological networks * An introduction to complex networks measures, statistical properties, and models * Modeling for evolving biological;

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Combinatorial Development of Solid Catalytic Materials

approaches that have played a key role in combinatorial catalysis and high-throughput experimentation during the last decade - evolutionary;

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Statistical Modelling of Molecular Descriptors in QSAR/QSPR

This handbook and ready reference presents a combination of statistical, information-theoretic, and data analysis methods to meet the;

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Modeling and Analysis of Bio molecular Networks

modeling and analysis of bio-molecular networks, the book presents various sophisticated mathematical and statistical approaches. The life system;

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Modeling and Analysis of Bio molecular Networks

modeling and analysis of bio-molecular networks, the book presents various sophisticated mathematical and statistical approaches. The life system;

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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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Mutualistic Networks

and evolutionary biologists. It will serve as the standard reference for all future work on mutualistic interactions in biological communities.;

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Evolutionary Analysis

For undergraduates majoring in the biological sciences.Building on the strengths of the first edition, Evolutionary Analysis, 2/e;

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Machine Learning in Medicine

statistical methods to analyze small data. The first and second volumes reviewed subjects like optimal scaling, neural networks, factor analysis;

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Spectral Clustering And Biclustering

graphs or rectangular arrays. Classical and modern statistical methods applicable to biological, social, communication networks, or microarrays;

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Statistical Learning Using Neural Networks

, Regression Neural Network Models, Survival Analysis Networks, Time Series Forecasting Networks, Control Chart Networks, and Statistical Inference;

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Statistical Learning Using Neural Networks

, Regression Neural Network Models, Survival Analysis Networks, Time Series Forecasting Networks, Control Chart Networks, and Statistical Inference;

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Evolutionary Computation Machine Learning and Data Mining in Bioinformatics

in bioinformatics and the biological sciences, all interested in the interface between evolutionary computation, machine learning, data mining;

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Biological Networks

mathematical representation of the connections between ecological, evolutionary and physiological studies. The prominent networks in biology are;

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Statistical Physics of Complex Systems

This third edition of Statistical Physics of Complex Systems has been expanded to provide more examples of applications of concepts and;

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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 Methods for Agricultural and Biological Sciences

STATISTICAL METHODS for Agricultural and Biological Sciences introduces basic statistical concepts as are required for understanding;

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Evolutionary Genomics

getting ahead in genomic data analyses. Comprehensive and cutting-edge, Evolutionary Genomics: Statistical and Computational Methods is a;

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Evolutionary Genomics

getting ahead in genomic data analyses. Comprehensive and cutting-edge, Evolutionary Genomics: Statistical and Computational Methods is a treasure;

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Handbook of Meta-analysis in Ecology and Evolution

comprehensive handbook of meta-analysis written specifically for ecologists and evolutionary biologists, and it provides an invaluable introduction for;

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Handbook of Meta-analysis in Ecology and Evolution

comprehensive handbook of meta-analysis written specifically for ecologists and evolutionary biologists, and it provides an invaluable introduction for;

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