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Bayesian Modeling in Bioinformatics, Dey



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Цена: 8672р.
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Склад Англия: 958 шт.  Склад Америка: 107 шт.  
При оформлении заказа до: 6 мар 2020
Ориентировочная дата поставки: начало Апреля

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Автор: Dey
Название:  Bayesian Modeling in Bioinformatics
Издательство: Taylor&Francis
Классификация:
Прикладная математика
Биология и естественные науки

ISBN: 1420070177
ISBN-13(EAN): 9781420070170
ISBN: 1-420-07017-7
ISBN-13(EAN): 978-1-420-07017-0
Обложка/Формат: Hardback
Страницы: 472
Вес: 0.8 кг.
Дата издания: 03.09.2010
Серия: Chapman & Hall/CRC Biostatistics Series
Язык: ENG
Иллюстрации: 68 black & white illustrations, 37 black & white tables
Размер: 235 x 156 x 28
Читательская аудитория: Professional & vocational
Ключевые слова: Statistical Theory & Methods, , Science
Основная тема: Bioinformatics
Ссылка на Издательство: Link
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Поставляется из: Англии
Описание: This volume discusses the development and application of Bayesian statistical methods for the analysis of high-throughput bioinformatics data arising from problems in molecular and structural biology and disease-related medical research. It presents a broad overview of statistical inference, clustering, and classification problems in two main high-throughput platforms: microarray gene expression and phylogenic analysis. Illustrating concepts using real-world data, the book covers a variety of recently developed Bayesian techniques, along with applications in genome-wide studies, phylogenetics, breast cancer, expression genomics, and more.
Дополнительное описание:




Bayesian Item Response Modeling

Автор: Fox
Название: Bayesian Item Response Modeling
ISBN: 1441907416 ISBN-13(EAN): 9781441907417
Издательство: Springer
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Цена: 11219 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: Covering software implementations in S-plus and R, this volume serves as both a handbook for measurement specialists, as well as a textbook for students of the Bayesian approach to modern test theory. Software implementations are made available online for further instruction.

Advances in Computational Intelligence and Bioinformatics

Автор: Rose John A., Negoita Mircea Gh.
Название: Advances in Computational Intelligence and Bioinformatics
ISBN: 3540293922 ISBN-13(EAN): 9783540293927
Издательство: Springer
Цена: 8410 р.
Наличие на складе: Поставка под заказ.

Machine Learning in Bioinformatics

Автор: Zhang
Название: Machine Learning in Bioinformatics
ISBN: 0470116625 ISBN-13(EAN): 9780470116623
Издательство: Wiley
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Цена: 11704 р.
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Описание: Machine learning techniques are increasingly being used to address problems in computational biology and bioinformatics. Novel computational techniques to anlayze high throughput data in the form of sequences, gene and protein expressions, pathways, and images are becoming vital for understanding diseases and future drug discovery. Machine learning techniques such as Markov models, support vector machines, neural networks, graphical models, etc., have been successful in analyzing life science data because of their capabilities of handling randomness and uncertainties of data and noise and in generalization. This book compiles recent approaches in machine learning, showing promise in addressing different complex bioinformatics applications, from prominent researchers in the field.

Bioinformatics Algorithms: Techniques and Applications

Автор: Mandoiu
Название: Bioinformatics Algorithms: Techniques and Applications
ISBN: 0470097736 ISBN-13(EAN): 9780470097731
Издательство: Wiley
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Цена: 14526 р.
Наличие на складе: Поставка под заказ.

Описание: Bioinformatics Algorithms targets the future collaboration of researchers in algorithms, bioinformatics, and molecular biology. It addresses critical bioinformatics research areas of protein-protein interaction, molecular modeling in drug design and structural biology. Some of the most important topics in the field of bioinformatics are covered with selected topics that are gaining increased interest including drug design, gene finding and text mining in bioinformatics. Each chapter begins with a self-contained introduction to a computational problem, briefly review the existing literature on the subject, describe in detail recent algorithmic and methodological developments, and conclude with brief experimental studies and a discussion of challenges that remain open. This presentation makes it easier for practitioners and researchers to seek additional material and have a better understanding of the techniques and algorithms being presented.

Theory and Mathematical Methods in Bioinformatics

Автор: Shiyi Shen
Название: Theory and Mathematical Methods in Bioinformatics
ISBN: 3540748903 ISBN-13(EAN): 9783540748908
Издательство: Springer
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Цена: 16829 р.
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Описание: Addresses the mathematical methods and the algorithms required to deal with the molecularly based problems of bioinformatics. This work focuses on pair-wise and multiple sequence alignment algorithms, stochastic models of mutations, modulus structure theory and protein configuration analysis.

Автор: Elber Ron
Название: Protein Modeling with Bioinformatics and Biophysics
ISBN: 0387329889 ISBN-13(EAN): 9780387329888
Издательство: Springer
Цена: 7008 р.
Наличие на складе: Поставка под заказ.

Описание: At the core of biological complexity are the small machines that maintain the whole: the protein molecules. Proteins are encoded by DNA sequences, spontaneously adopt unique three-dimensional shapes, and perform a wide range of biological functions in living systems. Scientists from a broad range of disciplines are fascinated by these biological machines and use computational means to study the evolution, biophysical properties and biological context of proteins. This book discusses the interface between the different disciplines and the mixed sets of theoretical and computational methods used by each to study proteins. Tools vary from machine learning and statistical methods to text matching and identification of homologous proteins, to statistical physics formulation of random energies and protein folding, and to molecular dynamic simulations of proteins in action. Protein Modeling with Bioinformatics and Biophysics will benefit scientists and advanced-level students interested in this interdisciplinary field.

Bayesian Cognitive Modeling

Автор: Lee
Название: Bayesian Cognitive Modeling
ISBN: 1107603579 ISBN-13(EAN): 9781107603578
Издательство: Cambridge Academ
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Цена: 3434 р.
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Описание: Bayesian inference has become a standard method of analysis in many fields of science. Students and researchers in experimental psychology and cognitive science, however, have failed to take full advantage of the new and exciting possibilities that the Bayesian approach affords. Ideal for teaching and self study, this book demonstrates how to do Bayesian modeling. Short, to-the-point chapters offer examples, exercises, and computer code (using WinBUGS or JAGS, and supported by Matlab and R), with additional support available online. No advance knowledge of statistics is required and, from the very start, readers are encouraged to apply and adjust Bayesian analyses by themselves. The book contains a series of chapters on parameter estimation and model selection, followed by detailed case studies from cognitive science. After working through this book, readers should be able to build their own Bayesian models, apply the models to their own data, and draw their own conclusions.

Bayesian Cognitive Modeling

Автор: Lee
Название: Bayesian Cognitive Modeling
ISBN: 1107018455 ISBN-13(EAN): 9781107018457
Издательство: Cambridge Academ
Рейтинг:
Цена: 8326 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: Bayesian inference has become a standard method of analysis in many fields of science. Students and researchers in experimental psychology and cognitive science, however, have failed to take full advantage of the new and exciting possibilities that the Bayesian approach affords. Ideal for teaching and self study, this book demonstrates how to do Bayesian modeling. Short, to-the-point chapters offer examples, exercises, and computer code (using WinBUGS or JAGS, and supported by Matlab and R), with additional support available online. No advance knowledge of statistics is required and, from the very start, readers are encouraged to apply and adjust Bayesian analyses by themselves. The book contains a series of chapters on parameter estimation and model selection, followed by detailed case studies from cognitive science. After working through this book, readers should be able to build their own Bayesian models, apply the models to their own data, and draw their own conclusions.

Bayesian Psychometric Modeling

Автор: Levy Roy, Mislevy Robert J.
Название: Bayesian Psychometric Modeling
ISBN: 1439884676 ISBN-13(EAN): 9781439884676
Издательство: Taylor&Francis
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Цена: 7209 р.
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Описание:

A Single Cohesive Framework of Tools and Procedures for Psychometrics and Assessment

Bayesian Psychometric Modeling presents a unified Bayesian approach across traditionally separate families of psychometric models. It shows that Bayesian techniques, as alternatives to conventional approaches, offer distinct and profound advantages in achieving many goals of psychometrics.

Adopting a Bayesian approach can aid in unifying seemingly disparate-and sometimes conflicting-ideas and activities in psychometrics. This book explains both how to perform psychometrics using Bayesian methods and why many of the activities in psychometrics align with Bayesian thinking.

The first part of the book introduces foundational principles and statistical models, including conceptual issues, normal distribution models, Markov chain Monte Carlo estimation, and regression. Focusing more directly on psychometrics, the second part covers popular psychometric models, including classical test theory, factor analysis, item response theory, latent class analysis, and Bayesian networks. Throughout the book, procedures are illustrated using examples primarily from educational assessments. A supplementary website provides the datasets, WinBUGS code, R code, and Netica files used in the examples.

New Directions in Statistical Physics / Econophysics, Bioinformatics, and Pattern Recognition

Автор: Wille Luc T.
Название: New Directions in Statistical Physics / Econophysics, Bioinformatics, and Pattern Recognition
ISBN: 3540431829 ISBN-13(EAN): 9783540431824
Издательство: Springer
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Цена: 13980 р.
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Описание: Statistical physics addresses the study and understanding of systems with many degrees of freedom. As such it has a rich and varied history, with applications to thermodynamics, magnetic phase transitions, and order/disorder transformations, to name just a few. However, the tools of statistical physics can be profitably used to investigate any system with a large number of components. Thus, recent years have seen these methods applied in many unexpected directions, three of which are the main focus of this volume. These applications have been remarkably successful and have enriched the financial, biological, and engineering literature. Although reported in the physics literature, the results tend to be scattered and the underlying unity of the field overlooked. This book provides a unique insight into the latest breakthroughs in a consistent manner, at a level accessible to undergraduates, yet with enough attention to the theory and computation to satisfy the professional researcher.

Mathematics of Bioinformatics: Theory, Methods and Applications

Автор: He Matthew, Petoukhov Sergey
Название: Mathematics of Bioinformatics: Theory, Methods and Applications
ISBN: 0470404434 ISBN-13(EAN): 9780470404430
Издательство: Wiley
Рейтинг:
Цена: 10084 р.
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Описание: 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 topic of the section is comprised of the following three parts: an introduction to the biological problems in bioinformatics; a presentation of relevant topics of mathematical theory and methods to the bioinformatics problems introduced in the first part; an integrative overview that draws the connections and interfaces between bioinformatics problems/issues and mathematical theory/methods/applications.

Dictionary of Bioinformatics and Computational Biology, 2nd Edition

Автор: Hancock
Название: Dictionary of Bioinformatics and Computational Biology, 2nd Edition
ISBN: 0470978716 ISBN-13(EAN): 9780470978719
Издательство: Wiley
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Цена: 6244 р.
Наличие на складе: Поставка под заказ.

Описание: Concise Encyclopaedia of Bioinformatics and Computational Biology, 2nd Edition is a fully revised and updated version of this acclaimed resource.


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