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Statistical Bioinformatics,, Sunil K. Mathur

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Цена: 5324р.
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Автор: Sunil K. Mathur
Название:  Statistical Bioinformatics,   (Статистическая биоинформатика)
Издательство: Elsevier Science
Прикладная математика
Биология и естественные науки

ISBN: 0123751047
ISBN-13(EAN): 9780123751041
ISBN: 0-12-375104-7
ISBN-13(EAN): 978-0-12-375104-1
Обложка/Формат: Hardback
Страницы: 336
Вес: 0.885 кг.
Дата издания: 22.02.2010
Серия: Life Sciences
Язык: English
Иллюстрации: Illustrations (some col.)
Размер: 236.20 x 188.00 x 22.90
Читательская аудитория: Tertiary education (us: college)
Подзаголовок: With r
Ссылка на Издательство: Link
Поставляется из: Англии
Описание: Statistical Bioinformatics provides a balanced treatment of statistical theory in the context of bioinformatics applications. Designed for a one or two semester senior undergraduate or graduate bioinformatics course, the text takes a broad view of the subject – not just gene expression and sequence analysis, but a careful balance of statistical theory in the context of bioinformatics applications. The inclusion of R & SAS code as well as the development of advanced methodology such as Bayesian and Markov models provides students with the important foundation needed to conduct bioinformatics.

Algorithms in Bioinformatics

Автор: Sung
Название: Algorithms in Bioinformatics
ISBN: 1420070339 ISBN-13(EAN): 9781420070330
Издательство: Taylor&Francis
Цена: 6120 р.
Наличие на складе: Есть (1 шт.)
Описание: This classroom-tested text provides an in-depth introduction to the algorithmic techniques applied in bioinformatics. For each topic, the author clearly details the biological motivation, precisely defines the corresponding computational problems, and includes detailed examples to illustrate each algorithm. The text covers basic molecular biology concepts, sequence similarity, the suffix tree, sequence databases, sequence and genome alignment, the phylogenetic tree, genome rearrangement, motif finding, the secondary structure of RNA, peptide sequencing, and population genetics. Supplementary material is provided on the author’s website and a solutions manual is available for qualifying instructors.

Introduction to statistical physics

Автор: Huang, Kerson,
Название: Introduction to statistical physics
ISBN: 1420079026 ISBN-13(EAN): 9781420079029
Издательство: Taylor&Francis
Цена: 6582 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: Written by a world-renowned theoretical physicist, this textbook familiarizes advanced undergraduate students with the different aspects of statistical physics. Along with many exercises, it includes a discussion of phase transition in thermodynamics. It also covers stochastic processes.

Introduction to Bioinformatics

Автор: Tramontano
Название: Introduction to Bioinformatics
ISBN: 1584885696 ISBN-13(EAN): 9781584885696
Издательство: Taylor&Francis
Цена: 6813 р.
Наличие на складе: Невозможна поставка.

Описание: From the elucidation and analysis of a genomic sequence to the prediction of a protein structure and the identification of the molecular function, Introduction to Bioinformatics describes the rationale and limitations of the bioinformatics methods and tools that can help solve biological problems. The author addresses the ways to store and retrieve biological data, decrypt information encoded by genomes, and detect and exploit the evolutionary and functional relationships among biological elements. The book also includes material on proteomics that is not found in any other basic bioinformatics textbook. It concludes with a discussion of the future of bioinformatics.

Statistical Mechanics,

Автор: R K Pathria
Название: Statistical Mechanics,
ISBN: 0123821886 ISBN-13(EAN): 9780123821881
Издательство: Elsevier Science
Цена: 6892 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: Statistical Mechanics explores the physical properties of matter based on the dynamic behavior of its microscopic constituents. After a historical introduction, this book presents chapters about thermodynamics, ensemble theory, simple gases theory, Ideal Bose and Fermi systems, statistical mechanics of interacting systems, phase transitions, and computer simulations. This edition includes new topics such as BoseEinstein condensation and degenerate Fermi gas behavior in ultracold atomic gases and chemical equilibrium. It also explains the correlation functions and scattering; fluctuationdissipation theorem and the dynamical structure factor; phase equilibrium and the Clausius-Clapeyron equation; and exact solutions of one-dimensional fluid models and two-dimensional Ising model on a finite lattice. New topics can be found in the appendices, including finite-size scaling behavior of Bose-Einstein condensates, a summary of thermodynamic assemblies and associated statistical ensembles, and pseudorandom number generators. Other chapters are dedicated to two new topics, the thermodynamics of the early universe and the Monte Carlo and molecular dynamics simulations. This book is invaluable to students and practitioners interested in statistical mechanics and physics.

Автор: Ben Hui Liu and Leming M Shi
Название: Statistical Genomics and Bioinformatics, Second Edition
ISBN: 1584883286 ISBN-13(EAN): 9781584883289
Издательство: Taylor&Francis
Цена: 5774 р.
Наличие на складе: Поставка под заказ.

Описание: Presents coverage of topics in statistical genomics. This work features several sections and chapters discussing areas such as sequence-based analysis, biochip data analysis, and generalized bioinformatics. It provides lists of statistical and linkage analysis software and their Web links, as well as SAS codes to help with difficult problems.

Introduction to Machine Learning and Bioinformatics

Автор: Mitra
Название: Introduction to Machine Learning and Bioinformatics
ISBN: 158488682X ISBN-13(EAN): 9781584886822
Издательство: Taylor&Francis
Цена: 8661 р.
Наличие на складе: Невозможна поставка.

Описание: Examining the connections between these two increasingly intertwined areas, this text presents a unifying, thorough, and accessible introduction to the basic ideas and latest developments in machine learning and bioinformatics. It describes the major problems in bioinformatics and the concepts and algorithms of machine learning. The authors demonstrate the capabilities of key machine learning techniques, such as hidden Markov models and artificial neural networks, and apply state-of-the-art techniques to bioinformatics problems in structural biology, cancer treatment, and proteomics. They also include exercises at the end of some chapters and offer instructional materials on their website.

Statistical Methods in Bioinformatics

Автор: Ewens
Название: Statistical Methods in Bioinformatics
ISBN: 0387400826 ISBN-13(EAN): 9780387400822
Издательство: Springer
Цена: 11719 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: Advances in computers and biotechnology have had a profound impact on biomedical research, and as a result complex data sets can be generated to address extremely complex biological questions. This book covers biological topics including sequence analysis, BLAST, microarray analysis, gene finding, and the analysis of evolutionary processes.

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
Цена: 15625 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

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.

Bayesian Modeling in Bioinformatics

Автор: Dey
Название: Bayesian Modeling in Bioinformatics
ISBN: 1420070177 ISBN-13(EAN): 9781420070170
Издательство: Taylor&Francis
Цена: 9585 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

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.

Meta-analysis and Combining Information in Genetics and Genomics

Автор: Guerra
Название: Meta-analysis and Combining Information in Genetics and Genomics
ISBN: 158488522X ISBN-13(EAN): 9781584885221
Издательство: Taylor&Francis
Цена: 19058 р.
Наличие на складе: Поставка под заказ.

Описание: This book provides many novel techniques for analyzing data from modern biological studies that involve multiple data sets, either of the same type or multiple data sources. It addresses the combination of similar data types: genotype data from genome-wide linkage scans and data derived from microarray gene expression experiments, and solves data combination problems that can arise within the same basic framework. It demonstrates the combined analysis of different data types, showing data combination approaches in action across a wide variety of genome-scale investigations.

Statistical bioinformatics

Автор: Lee, Jae Kyu
Название: Statistical bioinformatics
ISBN: 0471692727 ISBN-13(EAN): 9780471692720
Издательство: Wiley
Цена: 11666 р.
Наличие на складе: Поставка под заказ.

Описание: 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 biomedical research, followed by more detailed presentation, discussion of limitations, and problems. The book starts with an introduction to probability and statistics for genome-wide data, and moves into topics such as clustering, classification, multi-dimensional visualization, experimental design, statistical resampling, and statistical network analysis.

Statistical Physics of Biomolecules

Автор: Zuckerman
Название: Statistical Physics of Biomolecules
ISBN: 1420073788 ISBN-13(EAN): 9781420073782
Издательство: Taylor&Francis
Цена: 9932 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: It is essential for modern students of molecular behavior to understand the physics at the heart of modern molecular science, but traditional presentations of this material are often difficult to penetrate. This volume brings down to earth some of the most intimidating but important theories of molecular biophysics. Students build understanding by focusing on topics such as probability theory, low-dimensional models, and the simplest molecular systems. The book’s accessible development of equilibrium and dynamical statistical physics makes this a valuable text for students with limited physics and chemistry backgrounds.

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