Statistical Analysis of Gene Expression Microarray Data

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Publisher : CRC Press
ISBN 13 : 0203011236
Total Pages : 237 pages
Book Rating : 4.2/5 (3 download)

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Book Synopsis Statistical Analysis of Gene Expression Microarray Data by : Terry Speed

Download or read book Statistical Analysis of Gene Expression Microarray Data written by Terry Speed and published by CRC Press. This book was released on 2003-03-26 with total page 237 pages. Available in PDF, EPUB and Kindle. Book excerpt: Although less than a decade old, the field of microarray data analysis is now thriving and growing at a remarkable pace. Biologists, geneticists, and computer scientists as well as statisticians all need an accessible, systematic treatment of the techniques used for analyzing the vast amounts of data generated by large-scale gene expression studies

Design and Analysis of DNA Microarray Investigations

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Publisher : Springer Science & Business Media
ISBN 13 : 0387218661
Total Pages : 205 pages
Book Rating : 4.3/5 (872 download)

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Book Synopsis Design and Analysis of DNA Microarray Investigations by : Richard M. Simon

Download or read book Design and Analysis of DNA Microarray Investigations written by Richard M. Simon and published by Springer Science & Business Media. This book was released on 2006-05-09 with total page 205 pages. Available in PDF, EPUB and Kindle. Book excerpt: The analysis of gene expression profile data from DNA micorarray studies are discussed in this book. It provides a review of available methods and presents it in a manner that is intelligible to biologists. It offers an understanding of the design and analysis of experiments utilizing microarrays to benefit scientists. It includes an Appendix tutorial on the use of BRB-ArrayTools and step by step analyses of several major datasets using this software which is available from the National Cancer Institute.

Statistics and Data Analysis for Microarrays Using R and Bioconductor

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Publisher : CRC Press
ISBN 13 : 1439809763
Total Pages : 1036 pages
Book Rating : 4.4/5 (398 download)

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Book Synopsis Statistics and Data Analysis for Microarrays Using R and Bioconductor by : Sorin Draghici

Download or read book Statistics and Data Analysis for Microarrays Using R and Bioconductor written by Sorin Draghici and published by CRC Press. This book was released on 2016-04-19 with total page 1036 pages. Available in PDF, EPUB and Kindle. Book excerpt: Richly illustrated in color, Statistics and Data Analysis for Microarrays Using R and Bioconductor, Second Edition 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,

Exploration and Analysis of DNA Microarray and Protein Array Data

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Publisher : John Wiley & Sons
ISBN 13 : 0470317965
Total Pages : 270 pages
Book Rating : 4.4/5 (73 download)

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Book Synopsis Exploration and Analysis of DNA Microarray and Protein Array Data by : Dhammika Amaratunga

Download or read book Exploration and Analysis of DNA Microarray and Protein Array Data written by Dhammika Amaratunga and published by John Wiley & Sons. This book was released on 2009-09-25 with total page 270 pages. Available in PDF, EPUB and Kindle. Book excerpt: A cutting-edge guide to the analysis of DNA microarray data Genomics is one of the major scientific revolutions of this century, and the use of microarrays to rapidly analyze numerous DNA samples has enabled scientists to make sense of mountains of genomic data through statistical analysis. Today, microarrays are being used in biomedical research to study such vital areas as a drug’s therapeutic value–or toxicity–and cancer-spreading patterns of gene activity. Exploration and Analysis of DNA Microarray and Protein Array Data answers the need for a comprehensive, cutting-edge overview of this important and emerging field. The authors, seasoned researchers with extensive experience in both industry and academia, effectively outline all phases of this revolutionary analytical technique, from the preprocessing to the analysis stage. Highlights of the text include: A review of basic molecular biology, followed by an introduction to microarrays and their preparation Chapters on processing scanned images and preprocessing microarray data Methods for identifying differentially expressed genes in comparative microarray experiments Discussions of gene and sample clustering and class prediction Extension of analysis methods to protein array data Numerous exercises for self-study as well as data sets and a useful collection of computational tools on the authors’ Web site make this important text a valuable resource for both students and professionals in the field.

Analyzing Microarray Gene Expression Data

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Publisher : John Wiley & Sons
ISBN 13 : 0471726125
Total Pages : 366 pages
Book Rating : 4.4/5 (717 download)

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Book Synopsis Analyzing Microarray Gene Expression Data by : Geoffrey J. McLachlan

Download or read book Analyzing Microarray Gene Expression Data written by Geoffrey J. McLachlan and published by John Wiley & Sons. This book was released on 2005-02-18 with total page 366 pages. Available in PDF, EPUB and Kindle. Book excerpt: A multi-discipline, hands-on guide to microarray analysis of biological processes Analyzing Microarray Gene Expression Data provides a comprehensive review of available methodologies for the analysis of data derived from the latest DNA microarray technologies. Designed for biostatisticians entering the field of microarray analysis as well as biologists seeking to more effectively analyze their own experimental data, the text features a unique interdisciplinary approach and a combined academic and practical perspective that offers readers the most complete and applied coverage of the subject matter to date. Following a basic overview of the biological and technical principles behind microarray experimentation, the text provides a look at some of the most effective tools and procedures for achieving optimum reliability and reproducibility of research results, including: An in-depth account of the detection of genes that are differentially expressed across a number of classes of tissues Extensive coverage of both cluster analysis and discriminant analysis of microarray data and the growing applications of both methodologies A model-based approach to cluster analysis, with emphasis on the use of the EMMIX-GENE procedure for the clustering of tissue samples The latest data cleaning and normalization procedures The uses of microarray expression data for providing important prognostic information on the outcome of disease

Exploration and Analysis of DNA Microarray and Other High-Dimensional Data

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Author :
Publisher : Wiley
ISBN 13 : 9781118364543
Total Pages : 344 pages
Book Rating : 4.3/5 (645 download)

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Book Synopsis Exploration and Analysis of DNA Microarray and Other High-Dimensional Data by : Dhammika Amaratunga

Download or read book Exploration and Analysis of DNA Microarray and Other High-Dimensional Data written by Dhammika Amaratunga and published by Wiley. This book was released on 2014-01-31 with total page 344 pages. Available in PDF, EPUB and Kindle. Book excerpt: Praise for the First Edition " ... extremely well written ... a comprehensive and up-to-date overview of this important field."--Journal of Environmental Quality Exploration and Analysis of DNA Microarray and Other High-Dimensional Data, Second Edition provides comprehensive coverage of recent advancements in microarray data analysis. A cutting-edge guide, the Second Edition demonstrates various methodologies for analyzing data in biomedical research and offers an overview of the modern techniques used in microarray technology to.

Resampling-Based Multiple Testing

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Publisher : John Wiley & Sons
ISBN 13 : 9780471557616
Total Pages : 382 pages
Book Rating : 4.5/5 (576 download)

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Book Synopsis Resampling-Based Multiple Testing by : Peter H. Westfall

Download or read book Resampling-Based Multiple Testing written by Peter H. Westfall and published by John Wiley & Sons. This book was released on 1993-01-12 with total page 382 pages. Available in PDF, EPUB and Kindle. Book excerpt: Combines recent developments in resampling technology (including the bootstrap) with new methods for multiple testing that are easy to use, convenient to report and widely applicable. Software from SAS Institute is available to execute many of the methods and programming is straightforward for other applications. Explains how to summarize results using adjusted p-values which do not necessitate cumbersome table look-ups. Demonstrates how to incorporate logical constraints among hypotheses, further improving power.

Microarray Bioinformatics

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Publisher : Cambridge University Press
ISBN 13 : 9780521525879
Total Pages : 296 pages
Book Rating : 4.5/5 (258 download)

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Book Synopsis Microarray Bioinformatics by : Dov Stekel

Download or read book Microarray Bioinformatics written by Dov Stekel and published by Cambridge University Press. This book was released on 2003-09-08 with total page 296 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is a comprehensive guide to all of the mathematics, statistics and computing you will need to successfully operate DNA microarray experiments. It is written for researchers, clinicians, laboratory heads and managers, from both biology and bioinformatics backgrounds, who work with, or who intend to work with microarrays. The book covers all aspects of microarray bioinformatics, giving you the tools to design arrays and experiments, to analyze your data, and to share your results with your organisation or with the international community. There are chapters covering sequence databases, oligonucleotide design, experimental design, image processing, normalisation, identifying differentially expressed genes, clustering, classification and data standards. The book is based on the highly successful Microarray Bioinformatics course at Oxford University, and therefore is ideally suited for teaching the subject at postgraduate or professional level.

DNA Microarrays and Related Genomics Techniques

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Publisher : CRC Press
ISBN 13 : 1420028790
Total Pages : 391 pages
Book Rating : 4.4/5 (2 download)

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Book Synopsis DNA Microarrays and Related Genomics Techniques by : David B. Allison

Download or read book DNA Microarrays and Related Genomics Techniques written by David B. Allison and published by CRC Press. This book was released on 2005-11-14 with total page 391 pages. Available in PDF, EPUB and Kindle. Book excerpt: Considered highly exotic tools as recently as the late 1990s, microarrays are now ubiquitous in biological research. Traditional statistical approaches to design and analysis were not developed to handle the high-dimensional, small sample problems posed by microarrays. In just a few short years the number of statistical papers providing approaches

Functional Genomics

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Publisher : Humana
ISBN 13 : 9781588292919
Total Pages : 260 pages
Book Rating : 4.2/5 (929 download)

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Book Synopsis Functional Genomics by : Michael J. Brownstein

Download or read book Functional Genomics written by Michael J. Brownstein and published by Humana. This book was released on 2003-03-13 with total page 260 pages. Available in PDF, EPUB and Kindle. Book excerpt: This collection of robust, readily reproducible methods for microarray-based studies includes expert guidance in the optimal data analysis and informatics. On the methods side are proven techniques for monitoring subcellular RNA localization en masse, for mapping chromosomes at the resolution of a single gene, and for surveying the steady-state genome-wide distribution of DNA binding proteins in vivo. For those workers dealing with massive data sets, the book discusses the methodological aspects of data analysis and informatics in the design of microarray experiments, the choice of test statistic, and the assessment of observational significance, data reduction, and clustering.

Statistics for Microarrays

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Publisher : John Wiley & Sons
ISBN 13 : 9780470849934
Total Pages : 286 pages
Book Rating : 4.8/5 (499 download)

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Book Synopsis Statistics for Microarrays by : Ernst Wit

Download or read book Statistics for Microarrays written by Ernst Wit and published by John Wiley & Sons. This book was released on 2004-07-23 with total page 286 pages. Available in PDF, EPUB and Kindle. Book excerpt: Interest in microarrays has increased considerably in the last ten years. This increase in the use of microarray technology has led to the need for good standards of microarray experimental notation, data representation, and the introduction of standard experimental controls, as well as standard data normalization and analysis techniques. Statistics for Microarrays: Design, Analysis and Inference is the first book that presents a coherent and systematic overview of statistical methods in all stages in the process of analysing microarray data – from getting good data to obtaining meaningful results. Provides an overview of statistics for microarrays, including experimental design, data preparation, image analysis, normalization, quality control, and statistical inference. Features many examples throughout using real data from microarray experiments. Computational techniques are integrated into the text. Takes a very practical approach, suitable for statistically-minded biologists. Supported by a Website featuring colour images, software, and data sets. Primarily aimed at statistically-minded biologists, bioinformaticians, biostatisticians, and computer scientists working with microarray data, the book is also suitable for postgraduate students of bioinformatics.

Classification Analysis of DNA Microarrays

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Publisher : John Wiley & Sons
ISBN 13 : 0470170816
Total Pages : 752 pages
Book Rating : 4.4/5 (71 download)

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Book Synopsis Classification Analysis of DNA Microarrays by : Leif E. Peterson

Download or read book Classification Analysis of DNA Microarrays written by Leif E. Peterson and published by John Wiley & Sons. This book was released on 2013-06-24 with total page 752 pages. Available in PDF, EPUB and Kindle. Book excerpt: Wiley Series in Bioinformatics: Computational Techniques and Engineering Yi Pan and Albert Y. Zomaya, Series Editors Wide coverage of traditional unsupervised and supervised methods and newer contemporary approaches that help researchers handle the rapid growth of classification methods in DNA microarray studies Proliferating classification methods in DNA microarray studies have resulted in a body of information scattered throughout literature, conference proceedings, and elsewhere. This book unites many of these classification methods in a single volume. In addition to traditional statistical methods, it covers newer machine-learning approaches such as fuzzy methods, artificial neural networks, evolutionary-based genetic algorithms, support vector machines, swarm intelligence involving particle swarm optimization, and more. Classification Analysis of DNA Microarrays provides highly detailed pseudo-code and rich, graphical programming features, plus ready-to-run source code. Along with primary methods that include traditional and contemporary classification, it offers supplementary tools and data preparation routines for standardization and fuzzification; dimensional reduction via crisp and fuzzy c-means, PCA, and non-linear manifold learning; and computational linguistics via text analytics and n-gram analysis, recursive feature extraction during ANN, kernel-based methods, ensemble classifier fusion. This powerful new resource: Provides information on the use of classification analysis for DNA microarrays used for large-scale high-throughput transcriptional studies Serves as a historical repository of general use supervised classification methods as well as newer contemporary methods Brings the reader quickly up to speed on the various classification methods by implementing the programming pseudo-code and source code provided in the book Describes implementation methods that help shorten discovery times Classification Analysis of DNA Microarrays is useful for professionals and graduate students in computer science, bioinformatics, biostatistics, systems biology, and many related fields.

The Analysis of Gene Expression Data

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Publisher : Springer Science & Business Media
ISBN 13 : 0387216790
Total Pages : 511 pages
Book Rating : 4.3/5 (872 download)

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Book Synopsis The Analysis of Gene Expression Data by : Giovanni Parmigiani

Download or read book The Analysis of Gene Expression Data written by Giovanni Parmigiani and published by Springer Science & Business Media. This book was released on 2006-04-11 with total page 511 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents practical approaches for the analysis of data from gene expression micro-arrays. It describes the conceptual and methodological underpinning for a statistical tool and its implementation in software. The book includes coverage of various packages that are part of the Bioconductor project and several related R tools. The materials presented cover a range of software tools designed for varied audiences.

Statistics in Human Genetics and Molecular Biology

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Publisher : CRC Press
ISBN 13 : 1420072641
Total Pages : 284 pages
Book Rating : 4.4/5 (2 download)

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Book Synopsis Statistics in Human Genetics and Molecular Biology by : Cavan Reilly

Download or read book Statistics in Human Genetics and Molecular Biology written by Cavan Reilly and published by CRC Press. This book was released on 2009-06-19 with total page 284 pages. Available in PDF, EPUB and Kindle. Book excerpt: Focusing on the roles of different segments of DNA, Statistics in Human Genetics and Molecular Biology provides a basic understanding of problems arising in the analysis of genetics and genomics. It presents statistical applications in genetic mapping, DNA/protein sequence alignment, and analyses of gene expression data from microarray experiments.

DNA Microarrays and Gene Expression

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Publisher :
ISBN 13 : 9780511071676
Total Pages : 213 pages
Book Rating : 4.0/5 (716 download)

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Book Synopsis DNA Microarrays and Gene Expression by : Pierre Baldi

Download or read book DNA Microarrays and Gene Expression written by Pierre Baldi and published by . This book was released on 2002 with total page 213 pages. Available in PDF, EPUB and Kindle. Book excerpt: DNA microarrays are revolutionizing biology and medicine. They can provide a snapshot of the level of gene expression in a cell and are therefore a powerful tool with which to study biological phenomena at the molecular level. This inter-disciplinary introduction will be essential reading for researchers of all disciplines.

Analysis of Microarray Gene Expression Data

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Publisher : Springer Science & Business Media
ISBN 13 : 1402077882
Total Pages : 378 pages
Book Rating : 4.4/5 (2 download)

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Book Synopsis Analysis of Microarray Gene Expression Data by : Mei-Ling Ting Lee

Download or read book Analysis of Microarray Gene Expression Data written by Mei-Ling Ting Lee and published by Springer Science & Business Media. This book was released on 2007-05-08 with total page 378 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Fundamentals of Data Mining in Genomics and Proteomics

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Publisher : Springer Science & Business Media
ISBN 13 : 0387475095
Total Pages : 300 pages
Book Rating : 4.3/5 (874 download)

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Book Synopsis Fundamentals of Data Mining in Genomics and Proteomics by : Werner Dubitzky

Download or read book Fundamentals of Data Mining in Genomics and Proteomics written by Werner Dubitzky and published by Springer Science & Business Media. This book was released on 2007-04-13 with total page 300 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents state-of-the-art analytical methods from statistics and data mining for the analysis of high-throughput data from genomics and proteomics. It adopts an approach focusing on concepts and applications and presents key analytical techniques for the analysis of genomics and proteomics data by detailing their underlying principles, merits and limitations.