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Methods of Microarray Data Analysis

2012-12-06 Science
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Release : 2012-12-06
Genre : Science
Kind : eBook
Book Rating : 738/5 ( reviews)

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Book Synopsis Methods of Microarray Data Analysis by : Simon M. Lin

Download or read book Methods of Microarray Data Analysis written by Simon M. Lin. This book was released on 2012-12-06. Available in PDF, EPUB and Kindle. Book excerpt: 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 V

2007-02-24 Science
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Release : 2007-02-24
Genre : Science
Kind : eBook
Book Rating : 698/5 ( reviews)

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Book Synopsis Methods of Microarray Data Analysis V by : Patrick McConnell

Download or read book Methods of Microarray Data Analysis V written by Patrick McConnell. This book was released on 2007-02-24. Available in PDF, EPUB and Kindle. Book excerpt: This book is dedicated solely to the analysis of microarray data. Its unique approach of presenting different methods by analyzing the same data set shows the strengths and weakness of each method. 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.

A Practical Approach to Microarray Data Analysis

2007-05-08 Science
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Release : 2007-05-08
Genre : Science
Kind : eBook
Book Rating : 153/5 ( reviews)

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Book Synopsis A Practical Approach to Microarray Data Analysis by : Daniel P. Berrar

Download or read book A Practical Approach to Microarray Data Analysis written by Daniel P. Berrar. This book was released on 2007-05-08. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Statistical Analysis of Gene Expression Microarray Data

2003-03-26 Mathematics
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Release : 2003-03-26
Genre : Mathematics
Kind : eBook
Book Rating : 236/5 ( reviews)

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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. This book was released on 2003-03-26. 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

Microarray Data Analysis

2008-02-03 Science
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Release : 2008-02-03
Genre : Science
Kind : eBook
Book Rating : 900/5 ( reviews)

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Book Synopsis Microarray Data Analysis by : Michael J. Korenberg

Download or read book Microarray Data Analysis written by Michael J. Korenberg. This book was released on 2008-02-03. Available in PDF, EPUB and Kindle. Book excerpt: In this new volume, renowned authors contribute fascinating, cutting-edge insights into microarray data analysis. Information on an array of topics is included in this innovative book including in-depth insights into presentations of genomic signal processing. Also detailed is the use of tiling arrays for large genomes analysis. The protocols follow the successful Methods in Molecular BiologyTM series format, offering step-by-step instructions, an introduction outlining the principles behind the technique, lists of the necessary equipment and reagents, and tips on troubleshooting and avoiding pitfalls.

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