Statistics For Microarrays

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Analyzing Microarray Gene Expression Data

Geoffrey J. McLachlan,Kim-Anh Do,Christophe Ambroise
Analyzing Microarray Gene Expression Data Book PDF

Author : Geoffrey J. McLachlan,Kim-Anh Do,Christophe Ambroise
Publisher : John Wiley & Sons
Page : 366 pages
File Size : 46,9 Mb
Release : 2005-02-18
Category : Mathematics
ISBN : 9780471726128

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Analyzing Microarray Gene Expression Data by Geoffrey J. McLachlan,Kim-Anh Do,Christophe Ambroise Pdf

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

Statistics for Microarrays

Ernst Wit,John McClure
Statistics for Microarrays Book PDF

Author : Ernst Wit,John McClure
Publisher : John Wiley & Sons
Page : 286 pages
File Size : 52,8 Mb
Release : 2004-07-23
Category : Mathematics
ISBN : 0470849932

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Statistics for Microarrays by Ernst Wit,John McClure Pdf

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.

Statistics and Data Analysis for Microarrays Using R and Bioconductor

Sorin Draghici
Statistics and Data Analysis for Microarrays Using R and Bioconductor Book PDF

Author : Sorin Draghici
Publisher : CRC Press
Page : 1036 pages
File Size : 52,6 Mb
Release : 2016-04-19
Category : Computers
ISBN : 9781439809761

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Statistics and Data Analysis for Microarrays Using R and Bioconductor by Sorin Draghici Pdf

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,

Statistical Analysis of Gene Expression Microarray Data

Terry Speed
Statistical Analysis of Gene Expression Microarray Data Book PDF

Author : Terry Speed
Publisher : CRC Press
Page : 237 pages
File Size : 48,9 Mb
Release : 2003-03-26
Category : Mathematics
ISBN : 9780203011232

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Statistical Analysis of Gene Expression Microarray Data by Terry Speed Pdf

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

Richard M. Simon,Edward L. Korn,Lisa M. McShane,Michael D. Radmacher,George W. Wright,Yingdong Zhao
Design and Analysis of DNA Microarray Investigations Book PDF

Author : Richard M. Simon,Edward L. Korn,Lisa M. McShane,Michael D. Radmacher,George W. Wright,Yingdong Zhao
Publisher : Springer Science & Business Media
Page : 200 pages
File Size : 45,6 Mb
Release : 2006-05-09
Category : Medical
ISBN : 9780387218663

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Design and Analysis of DNA Microarray Investigations by Richard M. Simon,Edward L. Korn,Lisa M. McShane,Michael D. Radmacher,George W. Wright,Yingdong Zhao Pdf

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.

Analysis of Microarray Gene Expression Data

Mei-Ling Ting Lee
Analysis of Microarray Gene Expression Data Book PDF

Author : Mei-Ling Ting Lee
Publisher : Springer Science & Business Media
Page : 378 pages
File Size : 42,6 Mb
Release : 2004-04-30
Category : Mathematics
ISBN : 9780792370871

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Analysis of Microarray Gene Expression Data by Mei-Ling Ting Lee Pdf

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.

Microarray Data

Shailaja R. Deshmukh,Sudha G. Purohit
Microarray Data Book PDF

Author : Shailaja R. Deshmukh,Sudha G. Purohit
Publisher : Alpha Science International, Limited
Page : 354 pages
File Size : 49,6 Mb
Release : 2007
Category : Business & Economics
ISBN : STANFORD:36105131675089

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Microarray Data by Shailaja R. Deshmukh,Sudha G. Purohit Pdf

Functional Genomics, a branch of bioinformatics, is essentially an interdisciplinary subject in which biologists, statisticians and computer experts interact to analyze the microarray data. This book caters to the needs of all the three disciplines. For biologists and computer scientists, it explains concepts of statistics and statistical inference. For Biologists and Statisticians, it provides annotated R programs to analyze microarray data. For Statisticians and Computer scientists, it explains basics of biology relevant to microarray experiment. Thus, the book will be useful to scientists from all the three disciplines, with not much knowledge of other disciplines, to analyze microarray data and interpret the results.

A Beginner’s Guide to Microarrays

Eric M. Blalock
A Beginner s Guide to Microarrays Book PDF

Author : Eric M. Blalock
Publisher : Springer Science & Business Media
Page : 356 pages
File Size : 51,8 Mb
Release : 2011-06-27
Category : Science
ISBN : 9781441987600

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A Beginner’s Guide to Microarrays by Eric M. Blalock Pdf

A Beginner's Guide to Microarrays addresses two audiences - the core facility manager who produces, hybridizes, and scans arrays, and the basic research scientist who will be performing the analysis and interpreting the results. User friendly coverage and detailed protocols are provided for the technical steps and procedures involved in many facets of microarray technology, including: -Cleaning and coating glass slides, -Designing oligonucleotide probes, -Constructing arrays for the detection and quantification of different bacterial species, -Preparing spotting solutions, -Troubleshooting spotting problems, -Setting up and running a core facility, -Normalizing background signal and controlling for systematic variance, -Designing experiments for maximum effect, -Analyzing data with statistical procedures, -Clustering data with machine-learning protocols.

DNA Microarrays, Part B: Databases and Statistics

Anonim
DNA Microarrays Part B Databases and Statistics Book PDF

Author : Anonim
Publisher : Elsevier
Page : 512 pages
File Size : 51,8 Mb
Release : 2006-08-28
Category : Science
ISBN : 9780080464664

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DNA Microarrays, Part B: Databases and Statistics by Anonim Pdf

Modern DNA microarray technologies have evolved over the past 25 years to the point where it is now possible to take many million measurements from a single experiment. These two volumes, Parts A & B in the Methods in Enzymology series provide methods that will shepard any molecular biologist through the process of planning, performing, and publishing microarray results. Part A starts with an overview of a number of microarray platforms, both commercial and academically produced and includes wet bench protocols for performing traditional expression analysis and derivative techniques such as detection of transcription factor occupancy and chromatin status. Wet-bench protocols and troubleshooting techniques continue into Part B. These techniques are well rooted in traditional molecular biology and while they require traditional care, a researcher that can reproducibly generate beautiful Northern or Southern blots should have no difficulty generating beautiful array hybridizations. Data management is a more recent problem for most biologists. The bulk of Part B provides a range of techniques for data handling. This includes critical issues, from normalization within and between arrays, to uploading your results to the public repositories for array data, and how to integrate data from multiple sources. There are chapters in Part B for both the debutant and the expert bioinformatician. Provides an overview of platforms Includes experimental design and wet bench protocols Presents statistical and data analysis methods, array databases, data visualization and meta analysis

Analysis of Microarray Gene Expression Data

Mei-Ling Ting Lee
Analysis of Microarray Gene Expression Data Book PDF

Author : Mei-Ling Ting Lee
Publisher : Springer Science & Business Media
Page : 377 pages
File Size : 43,7 Mb
Release : 2007-05-08
Category : Science
ISBN : 9781402077883

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Analysis of Microarray Gene Expression Data by Mei-Ling Ting Lee Pdf

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.

Statistical Methods for Microarray Data Analysis

Andrei Y. Yakovlev,Lev Klebanov,Daniel Gaile
Statistical Methods for Microarray Data Analysis Book PDF

Author : Andrei Y. Yakovlev,Lev Klebanov,Daniel Gaile
Publisher : Unknown
Page : 212 pages
File Size : 42,8 Mb
Release : 2013
Category : DNA microarrays
ISBN : 1603273379

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Statistical Methods for Microarray Data Analysis by Andrei Y. Yakovlev,Lev Klebanov,Daniel Gaile Pdf

Microarrays for simultaneous measurement of redundancy of RNA species are used in fundamental biology as well as in medical research. Statistically, a microarray may be considered as an observation of very high dimensionality equal to the number of expression levels measured on it. 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. Written in the highly successful Methods in Molecular Biology series format, the chapters include the kind of detailed description and implementation advice that is crucial for getting optimal results in the laboratory. Thorough and intuitive, Statistical Methods for Microarray Data Analysis: Methods and Protocols aids scientists in continuing to study microarrays and the most current statistical methods.

Microarray Bioinformatics

Dov Stekel
Microarray Bioinformatics Book PDF

Author : Dov Stekel
Publisher : Cambridge University Press
Page : 296 pages
File Size : 51,5 Mb
Release : 2003-09-08
Category : Medical
ISBN : 052152587X

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Microarray Bioinformatics by Dov Stekel Pdf

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.

Methods of Microarray Data Analysis II

Simon M. Lin,Kimberly F. Johnson
Methods of Microarray Data Analysis II Book PDF

Author : Simon M. Lin,Kimberly F. Johnson
Publisher : Springer Science & Business Media
Page : 214 pages
File Size : 49,7 Mb
Release : 2007-05-08
Category : Science
ISBN : 9780306475986

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Methods of Microarray Data Analysis II by Simon M. Lin,Kimberly F. Johnson Pdf

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.

DNA Methylation Microarrays

Sun-Chong Wang,Art Petronis
DNA Methylation Microarrays Book PDF

Author : Sun-Chong Wang,Art Petronis
Publisher : CRC Press
Page : 256 pages
File Size : 42,5 Mb
Release : 2008-04-24
Category : Mathematics
ISBN : 9781420067286

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DNA Methylation Microarrays by Sun-Chong Wang,Art Petronis Pdf

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 under

Exploration and Analysis of DNA Microarray and Protein Array Data

Dhammika Amaratunga,Javier Cabrera
Exploration and Analysis of DNA Microarray and Protein Array Data Book PDF

Author : Dhammika Amaratunga,Javier Cabrera
Publisher : John Wiley & Sons
Page : 270 pages
File Size : 44,8 Mb
Release : 2009-09-25
Category : Mathematics
ISBN : 9780470317969

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Exploration and Analysis of DNA Microarray and Protein Array Data by Dhammika Amaratunga,Javier Cabrera Pdf

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.