Автор: Zhang Aidong Название: Advanced analysis of gene expression microarray data ISBN: 9812566457 ISBN-13(EAN): 9789812566454 Издательство: World Scientific Publishing Рейтинг: Цена: 59870.00 T Наличие на складе: Есть Описание: Focuses on the development and application of the advanced data mining, machine learning, and visualization techniques for the identification of significant patterns in gene expression microarray data. This book is suitable for biomedical researchers for learning the methods for analyzing gene expression microarray data.
Автор: Mark Schena Название: Microarray Analysis ISBN: 0471414433 ISBN-13(EAN): 9780471414438 Издательство: Wiley Рейтинг: Цена: 174240.00 T Наличие на складе: Поставка под заказ. Описание: * Provides a working knowledge of applications to a broad spectrum of disciplines. * Includes coverage of bioinformatics, novel arrays, and applications for clinical studies. * Supplemented with a separate chapter on the business of the technology.
Автор: Fraser, Karl Название: Microarray Image Analysis ISBN: 1420091530 ISBN-13(EAN): 9781420091533 Издательство: Taylor&Francis Рейтинг: Цена: 209270.00 T Наличие на складе: Нет в наличии.
Автор: Wang, Sun-Chong , Petronis, Art Название: DNA Methylation Microarrays ISBN: 0367387409 ISBN-13(EAN): 9780367387402 Издательство: Taylor&Francis Рейтинг: Цена: 65320.00 T Наличие на складе: Нет в наличии. Описание:
Providing an interface between dry-bench bioinformaticians and wet-lab biologists, DNA Methylation Microarrays: Experimental Design and Statistical Analysis presents the statistical methods and tools to analyze high-throughput epigenomic data, in particular, DNA methylation microarray data. Since these microarrays share the same underlying principles as gene expression microarrays, many of the analyses in the text also apply to microarray-based gene expression and histone modification (ChIP-on-chip) studies.
After introducing basic statistics, the book describes wet-bench technologies that produce the data for analysis and explains how to preprocess the data to remove systematic artifacts resulting from measurement imperfections. It then explores differential methylation and genomic tiling arrays. Focusing on exploratory data analysis, the next several chapters show how cluster and network analyses can link the functions and roles of unannotated DNA elements with known ones. The book concludes by surveying the open source software (R and Bioconductor), public databases, and other online resources available for microarray research.
Requiring only limited knowledge of statistics and programming, this book helps readers gain a solid understanding of the methodological foundations of DNA microarray analysis.
Автор: B.R. Jordan Название: DNA Microarrays: Gene Expression Applications ISBN: 3540415084 ISBN-13(EAN): 9783540415084 Издательство: Springer Рейтинг: Цена: 71730.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: A practical manual on expression measurement using DNA arrays. It covers various methods (from nylon macroarrays to oligonucleotide chips) and includes detailed protocols. It also covers software, data mining procedures and probable future developments.
Автор: Wang, Sun-Chong Название: DNA Methylation Microarrays ISBN: 1420067273 ISBN-13(EAN): 9781420067279 Издательство: Taylor&Francis Рейтинг: Цена: 102080.00 T Наличие на складе: Нет в наличии.
Автор: Hans-Joachim M??ller Название: Microarrays, ISBN: 0120885433 ISBN-13(EAN): 9780120885435 Издательство: Elsevier Science Рейтинг: Цена: 50060.00 T Наличие на складе: Поставка под заказ. Описание: "Microarrays" is an invaluable laboratory manual for anyone conducting experiments in the field of molecular biology or medical biochemistry who needs to understand and use microarray technologies. These technologies are especially appropriate in genome analysis, diagnostics, and studies involving differential gene expression. Providing straightforward explanations, the authors demonstrate proven methods for biochip application and an overview of presently available instruments, biochips, and software. Chapters cover the different requirements for DNA and protein chips, as well as spotters and scanners. This book also covers high throughput screening, patent research, and the minimum requirements for setting up or expanding a microarray laboratory.
Автор: Gohlmann, Hinrich Название: Gene Expression Studies Using Affymetrix Microarrays ISBN: 1420065157 ISBN-13(EAN): 9781420065152 Издательство: Taylor&Francis Рейтинг: Цена: 209270.00 T Наличие на складе: Нет в наличии.
Автор: Draghici, Sorin (wayne State University, Detroit, Michigan, Usa) Название: Statistics and data analysis for microarrays using r and bioconductor ISBN: 1439809755 ISBN-13(EAN): 9781439809754 Издательство: Taylor&Francis Рейтинг: Цена: 100030.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Richly illustrated in color, this bestselling text provides a clear and rigorous description of powerful analysis techniques and algorithms for mining and interpreting biological information. Omitting tedious details, heavy formalisms, and cryptic notations, the text takes a hands-on, example-based approach that explains the basics of R and micr
Автор: Rueda, Luis Название: Microarray Image and Data Analysis ISBN: 1466586826 ISBN-13(EAN): 9781466586826 Издательство: Taylor&Francis Рейтинг: Цена: 132710.00 T Наличие на складе: Нет в наличии.
Автор: Stafford, Phillip Название: Methods in Microarray Normalization ISBN: 1420052780 ISBN-13(EAN): 9781420052787 Издательство: Taylor&Francis Рейтинг: Цена: 107190.00 T Наличие на складе: Нет в наличии.
Автор: Agapito Giuseppe Название: Microarray Data Analysis ISBN: 1071618385 ISBN-13(EAN): 9781071618387 Издательство: Springer Рейтинг: Цена: 121110.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This meticulous book explores the leading methodologies, techniques, and tools for microarray data analysis, given the difficulty of harnessing the enormous amount of data. The book includes examples and code in R, requiring only an introductory computer science understanding, and the structure and the presentation of the chapters make it suitable for use in bioinformatics courses. Written for the highly successful Methods in Molecular Biology series, chapters include the kind of key detail and expert implementation advice that ensures successful results and reproducibility. Authoritative and practical, Microarray Data Analysis is an ideal guide for students or researchers who need to learn the main research topics and practitioners who continue to work with microarray datasets.
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