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A Practical Approach to Microarray Data Analysis, Berrar Daniel P., Dubitzky Werner, Granzow Martin



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Автор: Berrar Daniel P., Dubitzky Werner, Granzow Martin
Название:  A Practical Approach to Microarray Data Analysis
Перевод названия: Практический подход к анализу данных
ISBN: 9781402072604
Издательство: Springer
Классификация:
ISBN-10: 1402072600
Обложка/Формат: Hardback
Страницы: 384
Вес: 0.721 кг.
Дата издания: 2003
Язык: English
Размер: 22.96 x 17.17 x 2.77
Читательская аудитория: Postgraduate, research & scholarly
Ссылка на Издательство: Link
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Поставляется из: Германии
Дополнительное описание: Круг читателей: Life scientists, statisticians, computer experts, technology developers, managers
Язык: eng





Advanced analysis of gene expression microarray data

Автор: Zhang Aidong
Название: Advanced analysis of gene expression microarray data
ISBN: 9812566457 ISBN-13(EAN): 9789812566454
Издательство: World Scientific Publishing
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Цена: 9318 р.
Наличие на складе: Есть (4 шт.)
Описание: This book focuses on the development and application of the latest advanced data mining, machine learning, and visualization techniques for the identification of interesting, significant, and novel patterns in gene expression microarray data.Biomedical researchers will find this book invaluable for learning the cutting-edge methods for analyzing gene expression microarray data. Specifically, the coverage includes the following state-of-the-art methods:Ȣ Gene-based analysis: the latest novel clustering algorithms to identify co-expressed genes and coherent patterns in gene expression microarray data setsȢ Sample-based analysis: supervised and unsupervised methods for the reduction of the gene dimensionality to select significant genes. A series of approaches to disease classification and discovery are also describedȢ Pattern-based analysis: methods for ascertaining the relationship between (subsets of) genes and (subsets of) samples. Various novel pattern-based clustering algorithms to find the coherent patterns embedded in the sub-attribute spaces are discussedȢ Visualization tools: various methods for gene expression data visualization. The visualization process is intended to transform the gene expression data set from high-dimensional space into a more easily understood two- or three-dimensional space.

Microarray Analysis of the Physical Genome

Автор: Jonathan R. Pollack (Ed.)
Название: Microarray Analysis of the Physical Genome
ISBN: 1603271910 ISBN-13(EAN): 9781603271912
Издательство: Springer
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Цена: 15151 р.
Наличие на складе: Поставка под заказ.

Описание: Covers DNA micro array applications for the detection and characterization of genomic DNA-associated copy number alteration, loss of heterozygosity (LOH), cytosine methylation, protein binding sites, regulatory elements, and replication timing, with an emphasis on higher eukaryote (animal) and cancer genomes.

Proteomics Today: Protein Assessment and Biomarkers Using Mass Spectrometry, 2D Electrophoresis,and Microarray Technology

Автор: Mahmoud H. Hamdan
Название: Proteomics Today: Protein Assessment and Biomarkers Using Mass Spectrometry, 2D Electrophoresis,and Microarray Technology
ISBN: 0471648175 ISBN-13(EAN): 9780471648178
Издательство: Wiley
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Цена: 14669 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: The last few years have seen an unprecedented drive toward the application of proteomics to resolving challenging biomedical and biochemical tasks. Separation techniques combined with modern mass spectrometry are playing a central role in this drive. This book discusses the increasingly important role of mass spectrometry in proteomic research, and emphasizes recent advances in the existing technology and describes the advantages and pitfalls as well. Provides a scientifically valid method for analyzing the approximatey 500,000 proteins that are encoded in the human genome Explains the hows and whys of using mass spectrometry in proteomic analysis Brings together the latest approaches combining separation techniques and mass spectrometry and their application in proteome analysis Comments on future challenges and how they may be addressed Includes sections on troubleshooting

Exploration and Analysis of DNA Microarray and Protein Array Data

Автор: Dhammika Amaratunga
Название: Exploration and Analysis of DNA Microarray and Protein Array Data
ISBN: 0471273988 ISBN-13(EAN): 9780471273981
Издательство: Wiley
Цена: 6809 р.
Наличие на складе: Поставка под заказ.

Описание: The emergence of genomics, the study of genes, is one of the major scientific revolutions of this century. Microarrays, a method used to analyze numerous DNA samples rapidly, enables scientists to make sense of this mountain of data using statistical analysis. They are being used in such areas of biomedical research as studying patterns for gene activity that cause cancers tpread. This book presents a comprehensive methodology for analyzing DNA microarray and protein array data. The most comprehensive treatment of this important emerging field, Exploration and Analysis of DNA Microarray and Protein Array Data includes: A review of basic molecular biology and a chapter introducing microarrays and their preparation Chapters on processing scanned images, preprocessing microarray data, group comparative experiments, and other designs Discussions of clustering, protein arrays, and applications for diagnostic tools Ample exercises assist absorbtion

Guide to Analysis of DNA Microarray Data, 2nd Edition and Microarray Analysis Set

Автор: Mark Schena
Название: Guide to Analysis of DNA Microarray Data, 2nd Edition and Microarray Analysis Set
ISBN: 0471678538 ISBN-13(EAN): 9780471678533
Издательство: Wiley
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Цена: 20097 р.
Наличие на складе: Поставка под заказ.

Описание: The text provides an introduction to microarray technology, then moving on to image analysis, data analysis, cluster analysis, and beyond. With all chapters rewritten, updated, and expanded to include the latest generation of technology and methods, Guide to Analysis of DNA Microarray Data, Second Edition offers practitioners reliable information using concrete examples and a clear, comprehensible style. This Second Edition features entirely new chapters on: Image analysis Integrated analysis, and systems biology Experiment design Interpretation of results Automated analysis, Intended for readers seeking practical applications, this text covers a broad spectrum of proven approaches in this rapidly growing technology. Additional features include further reading suggestions for each chapter, as well as a thorough review of available analysis software.

Microarray Data Analysis / Methods and Applications

Автор: Korenberg Michael J.
Название: Microarray Data Analysis / Methods and Applications
ISBN: 1588295400 ISBN-13(EAN): 9781588295408
Издательство: Springer
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Цена: 13584 р.
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Описание: In this new volume, renowned authors contribute fascinating, cutting-edge insights into microarray data analysis. This innovative book includes in-depth presentations of genomic signal processing, artificial neural network use for microarray data analysis, signal processing and design of microarray time series experiments, application of regression methods, gene expression profiles and prognostic markers for primary breast cancer, and factors affecting the cross-correlation of gene expression profiles. Also detailed are use of tiling arrays for large genome analysis, comparative genomic hybridization data on cDNA microarrays, integrated high-resolution genome-wide analysis of gene dosage and gene expression in human brain tumors, gene and MeSH ontology, and survival prediction in follicular lymphoma using tissue microarrays.

Methods of Microarray Data Analysis II

Автор: Lin Simon M., Johnson Kimberly F.
Название: Methods of Microarray Data Analysis II
ISBN: 1402071116 ISBN-13(EAN): 9781402071119
Издательство: Springer
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Цена: 20900 р.
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Описание: Microarray technology is a major experimental tool for functional genomic explorations, and will continue to be a major tool throughout this decade and beyond. The recent explosion of this technology threatens to overwhelm the scientific community with massive quantities of data. Because microarray data analysis is an emerging field, very few analytical models currently exist. Methods of Microarray Data Analysis II is the second book in this pioneering series dedicated to this exciting new field. In a single reference, readers can learn about the most up-to-date methods, ranging from data normalization, feature selection, and discriminative analysis to machine learning techniques. Currently, there are no standard procedures for the design and analysis of microarray experiments. Methods of Microarray Data Analysis II focuses on a single data set, using a different method of analysis in each chapter. Real examples expose the strengths and weaknesses of each method for a given situation, aimed at helping readers choose appropriate protocols and utilize them for their own data set. In addition, web links are provided to the programs and tools discussed in several chapters. This book is an excellent reference not only for academic and industrial researchers, but also for core bioinformatics/genomics courses in undergraduate and graduate programs.

Methods of Microarray Data Analysis

Автор: Lin Simon M., Johnson Kimberly F.
Название: Methods of Microarray Data Analysis
ISBN: 0792375645 ISBN-13(EAN): 9780792375647
Издательство: Springer
Цена: 18286 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: Microarray technology is a major experimental tool for functional genomic explorations, and will continue to be a major tool throughout this decade and beyond. The recent explosion of this technology threatens to overwhelm the scientific community with massive quantities of data. Because microarray data analysis is an emerging field, very few analytical models currently exist. Methods of Microarray Data Analysis is one of the first books dedicated to this exciting new field. In a single reference, readers can learn about the most up-to-date methods ranging from data normalization, feature selection and discriminative analysis to machine learning techniques. Currently, there are no standard procedures for the design and analysis of microarray experiments. Methods of Microarray Data Analysis focuses on two well-known data sets, using a different method of analysis in each chapter. Real examples expose the strengths and weaknesses of each method for a given situation, aimed at helping readers choose appropriate protocols and utilize them for their own data set. In addition, web links are provided to the programs and tools discussed in several chapters. This book is an excellent reference not only for academic and industrial researchers, but also for core bioinformatics/genomics courses in undergraduate and graduate programs.

Methods of Microarray Data Analysis III

Автор: Johnson Kimberly F., Lin Simon M.
Название: Methods of Microarray Data Analysis III
ISBN: 1402075820 ISBN-13(EAN): 9781402075827
Издательство: Springer
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Цена: 8877 р.
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Описание: As microarray technology has matured, data analysis methods have advanced as well. Methods Of Microarray Data Analysis III is the third book in this pioneering series dedicated to the existing new field of microarrays. While initial techniques focused on classification exercises (volume I of this series), and later on pattern extraction (volume II of this series), this volume focuses on data quality issues. Problems such as background noise determination, analysis of variance, and errors in data handling are highlighted. Three tutorial papers are presented to assist with a basic understanding of underlying principles in microarray data analysis, and twelve new papers are highlighted analyzing the same CAMDA'02 datasets: the Project Normal data set or the Affymetrix Latin Square data set. A comparative study of these analytical methodologies brings to light problems, solutions and new ideas. This book is an excellent reference for academic and industrial researchers who want to keep abreast of the state of art of microarray data analysis.

Analysis of Microarray Gene Expression Data

Автор: Mei-Ling Ting Lee
Название: Analysis of Microarray Gene Expression Data
ISBN: 0792370872 ISBN-13(EAN): 9780792370871
Издательство: Springer
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Цена: 16602 р.
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Описание: After genomic sequencing, microarray technology has emerged as a widely used platform for genomic studies in the life sciences. Microarray technology provides a systematic way to survey DNA and RNA variation. With the abundance of data produced from microarray studies, however, the ultimate impact of the studies on biology will depend heavily on data mining and statistical analysis. The contribution of this book is to provide readers with an integrated presentation of various topics on analyzing microarray data.

Methods of Microarray Data Analysis V

Автор: McConnell Patrick, Lin Simon M., Hurban Patrick
Название: Methods of Microarray Data Analysis V
ISBN: 038734568X ISBN-13(EAN): 9780387345680
Издательство: Springer
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Цена: 13584 р.
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Описание: As studies using microarray technology have evolved, so have the data analysis methods used to analyze these experiments. The CAMDA (Critical Assessment of Microarray Data Analysis) conference was the first to establish a forum for a cross section of researchers to look at a common data set and apply innovative analytical techniques to microarray data. Methods of Microarray Analysis V includes selected papers from CAMDA'04, and focuses on data sets relating to a significant global health issue, malaria. Previous books focused on classification (V. I), pattern recognition (V. II), quality control issues (V. III), and associating array data with a survival endpoint, lung cancer, (V. IV). The contributions come from research fields including statistics, biology, computer science and mathematics. Part of the book is devoted to review papers, which provide a more general look at various analytical approaches. It also presents some background readings for the advanced topics discussed in the CAMDA papers.

Statistical Methods for Microarray Data Analysis

Автор: Andrei Y. Yakovlev; Lev Klebanov; Daniel Gaile (Ed
Название: Statistical Methods for Microarray Data Analysis
ISBN: 1603273360 ISBN-13(EAN): 9781603273367
Издательство: Springer
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Цена: 12539 р.
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Описание: In Statistical Methods for Microarray Data Analysis: Methods and Protocols, expert researchers in the field detail many methods and techniques used to study microarrays, guiding the reader from microarray technology to statistical problems of specific multivariate data analysis.


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