Dna Microarray Technology And Data Analysis In Cancer Research

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DNA Microarray Technology and Data Analysis in Cancer Research

Shaoguang Li
DNA Microarray Technology and Data Analysis in Cancer Research Book PDF

Author : Shaoguang Li
Publisher : World Scientific
Page : 131 pages
File Size : 44,8 Mb
Release : 2008
Category : Science
ISBN : 9789812790460

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DNA Microarray Technology and Data Analysis in Cancer Research by Shaoguang Li Pdf

DNA microarray technology has become a useful technique in gene expression analysis for the development of new diagnostic tools and for the identification of disease genes and therapeutic targets for human cancers. Appropriate control for DNA microarray experiment and reliable analysis of the array data are key to performing the assay and utilizing the data correctly. The most difficult challenge has been the lack of a powerful method to analyze the data for all genes (more than 30,000 genes) simultaneously and to use the microarray data in a decision-making process. In this book, the authors describe DNA microarray technology and data analysis by pointing out current advantages and disadvantages of the technique and available analytical methods. Crucially, new ideas and analytical methods based on the authors'' own experience in DNA microarray study and analysis are introduced. It is believed that this new way of interpreting and analyzing microarray data will bring us closer to success in decision-making using the information obtained through the DNA microarray technology.

Cancer Diagnostics with DNA Microarrays

Steen Knudsen
Cancer Diagnostics with DNA Microarrays Book PDF

Author : Steen Knudsen
Publisher : John Wiley & Sons
Page : 272 pages
File Size : 42,5 Mb
Release : 2006-11-03
Category : Science
ISBN : 9780470041093

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Cancer Diagnostics with DNA Microarrays by Steen Knudsen Pdf

Authored by an international authority in the field,Cancer Diagnostics with DNA Microarrays is a complete reference work on the rapidly growing use of DNA microarray data in the diagnosis of and treatment planning for a large number of human cancers. Uniquely deals with direct clinical application of microarray data to oncology diagnosis, leading to more effective diagnosis of and clearer treatment regimens for a wide range of human cancers Offers clinicians summary presentation of state-of-the-art science of DNA microarrays Each chapter includes bibliographic and further reading suggestions Easily accessible, assuming no special training in statistics or bioinformatics Replete with examples and mini-cases, Cancer Diagnostics with DNA Microarrays offers cancer researchers in private, pharmacologic, and governmental institutions, biomedical statisticians, and practicing oncologists concise, thoughtfully authored guidance on the use of microarray data and analysis as clinical tools. The text carefully addresses the needs of end users – researchers and physicians – using microarrays as a tool to be applied in common clinical situations, and is of interest for students in medicine and biology and professionals in health care as well.

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 : 43,7 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.

Guide to Analysis of DNA Microarray Data

Steen Knudsen
Guide to Analysis of DNA Microarray Data Book PDF

Author : Steen Knudsen
Publisher : John Wiley & Sons
Page : 194 pages
File Size : 48,5 Mb
Release : 2005-03-04
Category : Science
ISBN : 9780471670261

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Guide to Analysis of DNA Microarray Data by Steen Knudsen Pdf

Written for biologists and medical researchers who don't have any special training in data analysis and statistics, Guide to Analysis of DNA Microarray Data, Second Edition begins where DNA array equipment leaves off: the image produced by the microarray. The text deals with the questions that arise starting at this point, providing 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 * Experiment design * Automated analysis, integrated analysis, and systems biology * Interpretation of results 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.

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 : 44,8 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.

A Biologist's Guide to Analysis of DNA Microarray Data

Steen Knudsen
A Biologist s Guide to Analysis of DNA Microarray Data Book PDF

Author : Steen Knudsen
Publisher : John Wiley & Sons
Page : 148 pages
File Size : 41,7 Mb
Release : 2011-09-23
Category : Science
ISBN : 9780471461180

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A Biologist's Guide to Analysis of DNA Microarray Data by Steen Knudsen Pdf

A great introductory book that details reliable approaches to problems met in standard microarray data analyses. It provides examples of established approaches such as cluster analysis, function prediction, and principle component analysis. Discover real examples to illustrate the key concepts of data analysis. Written for those without any advanced background in math, statistics, or computer sciences, this book is essential for anyone interested in harnessing the immense potential of microarrays in biology and medicine.

Methods of Microarray Data Analysis IV

Jennifer S. Shoemaker,Simon M. Lin
Methods of Microarray Data Analysis IV Book PDF

Author : Jennifer S. Shoemaker,Simon M. Lin
Publisher : Springer Science & Business Media
Page : 266 pages
File Size : 51,8 Mb
Release : 2006-01-16
Category : Medical
ISBN : 9780387230771

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Methods of Microarray Data Analysis IV by Jennifer S. Shoemaker,Simon M. Lin Pdf

As studies using microarray technology have evolved, so have the data analysis methods used to analyze these experiments. The CAMDA conference plays a role in this evolving field by providing a forum in which investors can analyze the same data sets using different methods. Methods of Microarray Data Analysis IV is the fourth book in this series, and focuses on the important issue of associating array data with a survival endpoint. Previous books in this series focused on classification (Volume I), pattern recognition (Volume II), and quality control issues (Volume III). In this volume, four lung cancer data sets are the focus of analysis. We highlight three tutorial papers, including one to assist with a basic understanding of lung cancer, a review of survival analysis in the gene expression literature, and a paper on replication. In addition, 14 papers presented at the conference are included. This book is an excellent reference for academic and industrial researchers who want to keep abreast of the state of the art of microarray data analysis. Jennifer Shoemaker is a faculty member in the Department of Biostatistics and Bioinformatics and the Director of the Bioinformatics Unit for the Cancer and Leukemia Group B Statistical Center, Duke University Medical Center. Simon Lin is a faculty member in the Department of Biostatistics and Bioinformatics and the Manager of the Duke Bioinformatics Shared Resource, Duke University Medical Center.

Methods of Microarray Data Analysis III

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

Author : Kimberly F. Johnson,Simon M. Lin
Publisher : Springer Science & Business Media
Page : 247 pages
File Size : 43,9 Mb
Release : 2003-09-30
Category : Science
ISBN : 9781402075827

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

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.

Microarray Technology and Cancer Gene Profiling

Simone Mocellin
Microarray Technology and Cancer Gene Profiling Book PDF

Author : Simone Mocellin
Publisher : Springer Science & Business Media
Page : 176 pages
File Size : 52,9 Mb
Release : 2007-08-28
Category : Medical
ISBN : 9780387399782

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Microarray Technology and Cancer Gene Profiling by Simone Mocellin Pdf

Given the revolutionary implications that the use of this technology might have in the clinical management of cancer patients, the principles of DNA array-based tumor gene profiling must be clearly understood for the data to be correctly interpreted and appreciated. This book, written by leading experts, discusses the technical features characterizing the powerful laboratory tool of microarray technology, and reviews applications in the field of oncology.

Methods of Microarray Data Analysis

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

Author : Simon M. Lin,Kimberly F. Johnson
Publisher : Springer Science & Business Media
Page : 192 pages
File Size : 51,5 Mb
Release : 2012-12-06
Category : Science
ISBN : 9781461508731

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Methods of Microarray Data Analysis 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 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.

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

Dhammika Amaratunga,Javier Cabrera,Ziv Shkedy
Exploration and Analysis of DNA Microarray and Other High Dimensional Data Book PDF

Author : Dhammika Amaratunga,Javier Cabrera,Ziv Shkedy
Publisher : John Wiley & Sons
Page : 320 pages
File Size : 54,7 Mb
Release : 2014-01-27
Category : Mathematics
ISBN : 9781118364529

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Exploration and Analysis of DNA Microarray and Other High-Dimensional Data by Dhammika Amaratunga,Javier Cabrera,Ziv Shkedy Pdf

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 study patterns of gene activity. The new edition answers the need for an efficient outline of all phases of this revolutionary analytical technique, from preprocessing to the analysis stage. Utilizing research and experience from highly-qualified authors in fields of data analysis, Exploration and Analysis of DNA Microarray and Other High-Dimensional Data, Second Edition features: A new chapter on the interpretation of findings that includes a discussion of signatures and material on gene set analysis, including network analysis New topics of coverage including ABC clustering, biclustering, partial least squares, penalized methods, ensemble methods, and enriched ensemble methods Updated exercises to deepen knowledge of the presented material and provide readers with resources for further study The book is an ideal reference for scientists in biomedical and genomics research fields who analyze DNA microarrays and protein array data, as well as statisticians and bioinformatics practitioners. Exploration and Analysis of DNA Microarray and Other High-Dimensional Data, Second Edition is also a useful text for graduate-level courses on statistics, computational biology, and 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 : 43,7 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,

A Practical Approach to Microarray Data Analysis

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

Author : Daniel P. Berrar,Werner Dubitzky,Martin Granzow
Publisher : Springer Science & Business Media
Page : 382 pages
File Size : 48,8 Mb
Release : 2007-05-08
Category : Science
ISBN : 9780306478154

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

In the past several years, DNA microarray technology has attracted tremendous interest in both the scientific community and in industry. With its ability to simultaneously measure the activity and interactions of thousands of genes, this modern technology promises unprecedented new insights into mechanisms of living systems. Currently, the primary applications of microarrays include gene discovery, disease diagnosis and prognosis, drug discovery (pharmacogenomics), and toxicological research (toxicogenomics). Typical scientific tasks addressed by microarray experiments include the identification of coexpressed genes, discovery of sample or gene groups with similar expression patterns, identification of genes whose expression patterns are highly differentiating with respect to a set of discerned biological entities (e.g., tumor types), and the study of gene activity patterns under various stress conditions (e.g., chemical treatment). More recently, the discovery, modeling, and simulation of regulatory gene networks, and the mapping of expression data to metabolic pathways and chromosome locations have been added to the list of scientific tasks that are being tackled by microarray technology. Each scientific task corresponds to one or more so-called data analysis tasks. Different types of scientific questions require different sets of data analytical techniques. Broadly speaking, there are two classes of elementary data analysis tasks, predictive modeling and pattern-detection. Predictive modeling tasks are concerned with learning a classification or estimation function, whereas pattern-detection methods screen the available data for interesting, previously unknown regularities or relationships.

Microarray Innovations

Gary Hardiman
Microarray Innovations Book PDF

Author : Gary Hardiman
Publisher : CRC Press
Page : 362 pages
File Size : 52,7 Mb
Release : 2009-04-02
Category : Medical
ISBN : 9781420094510

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Microarray Innovations by Gary Hardiman Pdf

In recent years, high-density DNA microarrays have revolutionized biomedical research and drug discovery efforts by the pharmaceutical industry. Their efficacy in identifying and prioritizing drug targets based on their ability to confirm a large number of gene expression measurements in parallel has become a key element in drug discovery. Microarr

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 : 44,6 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.