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Introduction to Machine Learning and Bioinformatics

by Sushmita Mitra, Sujay Datta, Theodore Perkins, George Michailidis ...

Lucidly Integrates Current ActivitiesFocusing on both fundamentals and recent advances, Introduction to Machine Learning and Bioinformatics presents an informative and accessible account of the ways in which these two increasingly intertwined areas relate to each other.Examines Connections between Machine Learning & Bio ... Read more

$89.99 USD

Lucidly Integrates Current ActivitiesFocusing on both fundamentals and recent advances, Introduction to Machine Learning and Bioinformatics presents an informative and accessible account of the ways in which these two increasingly intertwined areas relate to each other.Examines Connections between Machine Learning & Bio
... Read more

Comprehensive Chemometrics

Chemical and Biochemical Data Analysis

by Roma Tauler, Beata Walczak, Steven Brown ...

Designed to serve as the first point of reference on the subject, Comprehensive Chemometrics presents an integrated summary of the present state of chemical and biochemical data analysis and manipulation. The work covers all major areas ranging from statistics to data acquisition, analysis, and applications.This major reference work provides broad-ranging, validated summaries of the major topics ... Read more

$3,091.99 USD

Designed to serve as the first point of reference on the subject, Comprehensive Chemometrics presents an integrated summary of the present state of chemical and biochemical data analysis and manipulation. The work covers all major areas ranging from statistics to data acquisition, analysis, and applications.This major reference work provides broad-ranging, validated summaries of the major topics
... Read more
Mathematics of Bioinformatics

Theory, Methods and Applications

by Matthew He, Sergey Petoukhov, Yi Pan, Albert Y. Zomaya ...

Series Book 19 - Wiley Series in Bioinformatics
Mathematics of Bioinformatics: Theory, Methods, and Applications provides a comprehensive format for connecting and integrating information derived from mathematical methods and applying it to the understanding of biological sequences, structures, and networks. Each chapter is divided into a number of sections based on the bioinformatics topics and related mathematical theory and methods. Each ... Read more

$113.00 USD

Mathematics of Bioinformatics: Theory, Methods, and Applications provides a comprehensive format for connecting and integrating information derived from mathematical methods and applying it to the understanding of biological sequences, structures, and networks. Each chapter is divided into a number of sections based on the bioinformatics topics and related mathematical theory and methods. Each
... Read more
Algorithms in Computational Molecular Biology

Techniques, Approaches and Applications

by Yi Pan ...

Series Book 21 - Wiley Series in Bioinformatics
This book represents the most comprehensive and up-to-date collection of information on the topic of computational molecular biology. Bringing the most recent research into the forefront of discussion, Algorithms in Computational Molecular Biology studies the most important and useful algorithms currently being used in the field, and provides related problems. It also succeeds where other titles ... Read more

$168.00 USD

This book represents the most comprehensive and up-to-date collection of information on the topic of computational molecular biology. Bringing the most recent research into the forefront of discussion, Algorithms in Computational Molecular Biology studies the most important and useful algorithms currently being used in the field, and provides related problems. It also succeeds where other titles
... Read more
Statistical and Machine Learning Approaches for Network Analysis

by Subhash C. Basak, Matthias Dehmer ...

Series Book 707 - Wiley Series in Computational Statistics
Explore the multidisciplinary nature of complex networks through machine learning techniquesStatistical and Machine Learning Approaches for Network Analysis provides an accessible framework for structurally analyzing graphs by bringing together known and novel approaches on graph classes and graph measures for classification. By providing different approaches based on experimental data, the book ... Read more

$118.00 USD

Explore the multidisciplinary nature of complex networks through machine learning techniquesStatistical and Machine Learning Approaches for Network Analysis provides an accessible framework for structurally analyzing graphs by bringing together known and novel approaches on graph classes and graph measures for classification. By providing different approaches based on experimental data, the book
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The Phylogenetic Handbook

A Practical Approach to Phylogenetic Analysis and Hypothesis Testing

Edited by Philippe Lemey, Marco Salemi, Anne-Mieke Vandamme ...

The Phylogenetic Handbook is a broad, hands on guide to theory and practice of nucleotide and protein phylogenetic analysis. This second edition includes six new chapters, covering topics such as Bayesian inference, tree topology testing and the impact of recombination on phylogenies, as well as a detailed section on molecular adaptation. The book has a stronger focus on hypothesis testing than ... Read more

$67.29 USD

The Phylogenetic Handbook is a broad, hands on guide to theory and practice of nucleotide and protein phylogenetic analysis. This second edition includes six new chapters, covering topics such as Bayesian inference, tree topology testing and the impact of recombination on phylogenies, as well as a detailed section on molecular adaptation. The book has a stronger focus on hypothesis testing than
... Read more
Molecular Evolution

A Statistical Approach

by Ziheng Yang ...

Studies of evolution at the molecular level have experienced phenomenal growth in the last few decades, due to rapid accumulation of genetic sequence data, improved computer hardware and software, and the development of sophisticated analytical methods. The flood of genomic data has generated an acute need for powerful statistical methods and efficient computational algorithms to enable their ... Read more

$75.59 USD

Studies of evolution at the molecular level have experienced phenomenal growth in the last few decades, due to rapid accumulation of genetic sequence data, improved computer hardware and software, and the development of sophisticated analytical methods. The flood of genomic data has generated an acute need for powerful statistical methods and efficient computational algorithms to enable their
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Complex-Valued Neural Networks

Advances and Applications

Edited by Akira Hirose ...

Series Book 18 - IEEE Press Series on Computational Intelligence
Presents the latest advances in complex-valued neural networks by demonstrating the theory in a wide range of applicationsComplex-valued neural networks is a rapidly developing neural network framework that utilizes complex arithmetic, exhibiting specific characteristics in its learning, self-organizing, and processing dynamics. They are highly suitable for processing complex amplitude, composed ... Read more

$122.00 USD

Presents the latest advances in complex-valued neural networks by demonstrating the theory in a wide range of applicationsComplex-valued neural networks is a rapidly developing neural network framework that utilizes complex arithmetic, exhibiting specific characteristics in its learning, self-organizing, and processing dynamics. They are highly suitable for processing complex amplitude, composed
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Bayesian Evolutionary Analysis with BEAST

by Alexei J. Drummond, Remco R. Bouckaert ...

What are the models used in phylogenetic analysis and what exactly is involved in Bayesian evolutionary analysis using Markov chain Monte Carlo (MCMC) methods? How can you choose and apply these models, which parameterisations and priors make sense, and how can you diagnose Bayesian MCMC when things go wrong? These are just a few of the questions answered in this comprehensive overview of Bayesian ... Read more

$62.39 USD

What are the models used in phylogenetic analysis and what exactly is involved in Bayesian evolutionary analysis using Markov chain Monte Carlo (MCMC) methods? How can you choose and apply these models, which parameterisations and priors make sense, and how can you diagnose Bayesian MCMC when things go wrong? These are just a few of the questions answered in this comprehensive overview of Bayesian
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Computational Intelligence

Synergies of Fuzzy Logic, Neural Networks and Evolutionary Computing

by Nazmul Siddique, Hojjat Adeli ...

Computational Intelligence: Synergies of Fuzzy Logic, Neural Networks and Evolutionary Computing presents an introduction to some of the cutting edge technological paradigms under the umbrella of computational intelligence. Computational intelligence schemes are investigated with the development of a suitable framework for fuzzy logic, neural networks and evolutionary computing, neuro-fuzzy ... Read more

$121.00 USD

Computational Intelligence: Synergies of Fuzzy Logic, Neural Networks and Evolutionary Computing presents an introduction to some of the cutting edge technological paradigms under the umbrella of computational intelligence. Computational intelligence schemes are investigated with the development of a suitable framework for fuzzy logic, neural networks and evolutionary computing, neuro-fuzzy
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Statistical Bioinformatics

For Biomedical and Life Science Researchers

by Jae K. Lee ...

This book provides an essential understanding of statistical concepts necessary for the analysis of genomic and proteomic data using computational techniques. The author presents both basic and advanced topics, focusing on those that are relevant to the computational analysis of large data sets in biology. Chapters begin with a description of a statistical concept and a current example from ... Read more

$118.00 USD

This book provides an essential understanding of statistical concepts necessary for the analysis of genomic and proteomic data using computational techniques. The author presents both basic and advanced topics, focusing on those that are relevant to the computational analysis of large data sets in biology. Chapters begin with a description of a statistical concept and a current example from
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Rough-Fuzzy Pattern Recognition

Applications in Bioinformatics and Medical Imaging

by Pradipta Maji, Sankar K. Pal ...

Series Book 3 - Wiley Series in Bioinformatics
Learn how to apply rough-fuzzy computing techniques to solve problems in bioinformatics and medical image processingEmphasizing applications in bioinformatics and medical image processing, this text offers a clear framework that enables readers to take advantage of the latest rough-fuzzy computing techniques to build working pattern recognition models. The authors explain step by step how to ... Read more

$107.00 USD

Learn how to apply rough-fuzzy computing techniques to solve problems in bioinformatics and medical image processingEmphasizing applications in bioinformatics and medical image processing, this text offers a clear framework that enables readers to take advantage of the latest rough-fuzzy computing techniques to build working pattern recognition models. The authors explain step by step how to
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Introduction to Machine Learning and Bioinformatics

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Comprehensive Chemometrics

Mathematics of Bioinformatics

Algorithms in Computational Molecular Biology

Statistical and Machine Learning Approaches for Network Analysis

The Phylogenetic Handbook

Molecular Evolution

Complex-Valued Neural Networks

Bayesian Evolutionary Analysis with BEAST

Computational Intelligence

Statistical Bioinformatics

Rough-Fuzzy Pattern Recognition

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