Statistics for Microarrays

Statistics for Microarrays

Author: Ernst Wit

Publisher: John Wiley & Sons

Published: 2004-07-23

Total Pages: 286

ISBN-13: 9780470849934

DOWNLOAD EBOOK

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.


Analysis of Microarray Gene Expression Data

Analysis of Microarray Gene Expression Data

Author: Mei-Ling Ting Lee

Publisher: Springer Science & Business Media

Published: 2007-05-08

Total Pages: 378

ISBN-13: 1402077882

DOWNLOAD EBOOK

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.


Statistics and Data Analysis for Microarrays Using R and Bioconductor

Statistics and Data Analysis for Microarrays Using R and Bioconductor

Author: Sorin Draghici

Publisher: CRC Press

Published: 2016-04-19

Total Pages: 1036

ISBN-13: 1439809763

DOWNLOAD EBOOK

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,


Analyzing Microarray Gene Expression Data

Analyzing Microarray Gene Expression Data

Author: Geoffrey J. McLachlan

Publisher: John Wiley & Sons

Published: 2005-02-18

Total Pages: 366

ISBN-13: 0471726125

DOWNLOAD EBOOK

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


Design and Analysis of DNA Microarray Investigations

Design and Analysis of DNA Microarray Investigations

Author: Richard M. Simon

Publisher: Springer Science & Business Media

Published: 2006-05-09

Total Pages: 205

ISBN-13: 0387218661

DOWNLOAD EBOOK

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.


Microarray Gene Expression Data Analysis

Microarray Gene Expression Data Analysis

Author: Helen Causton

Publisher: John Wiley & Sons

Published: 2009-04-01

Total Pages: 176

ISBN-13: 1444311565

DOWNLOAD EBOOK

This guide covers aspects of designing microarray experiments and analysing the data generated, including information on some of the tools that are available from non-commercial sources. Concepts and principles underpinning gene expression analysis are emphasised and wherever possible, the mathematics has been simplified. The guide is intended for use by graduates and researchers in bioinformatics and the life sciences and is also suitable for statisticians who are interested in the approaches currently used to study gene expression. Microarrays are an automated way of carrying out thousands of experiments at once, and allows scientists to obtain huge amounts of information very quickly Short, concise text on this difficult topic area Clear illustrations throughout Written by well-known teachers in the subject Provides insight into how to analyse the data produced from microarrays


Statistical Analysis of Gene Expression Microarray Data

Statistical Analysis of Gene Expression Microarray Data

Author: Terry Speed

Publisher: CRC Press

Published: 2003-03-26

Total Pages: 237

ISBN-13: 0203011236

DOWNLOAD EBOOK

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


Exploration and Analysis of DNA Microarray and Protein Array Data

Exploration and Analysis of DNA Microarray and Protein Array Data

Author: Dhammika Amaratunga

Publisher: John Wiley & Sons

Published: 2009-09-25

Total Pages: 270

ISBN-13: 0470317965

DOWNLOAD EBOOK

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.


Microarray Bioinformatics

Microarray Bioinformatics

Author: Dov Stekel

Publisher: Cambridge University Press

Published: 2003-09-08

Total Pages: 296

ISBN-13: 9780521525879

DOWNLOAD EBOOK

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.


A Beginner’s Guide to Microarrays

A Beginner’s Guide to Microarrays

Author: Eric M. Blalock

Publisher: Springer Science & Business Media

Published: 2011-06-27

Total Pages: 356

ISBN-13: 1441987606

DOWNLOAD EBOOK

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.