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Methods in Microarray Normalization

2008-01-31 Mathematics
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Release : 2008-01-31
Genre : Mathematics
Kind : eBook
Book Rating : 799/5 ( reviews)

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Book Synopsis Methods in Microarray Normalization by : Phillip Stafford

Download or read book Methods in Microarray Normalization written by Phillip Stafford. This book was released on 2008-01-31. Available in PDF, EPUB and Kindle. Book excerpt: This organized text compiles, for the first time, the most useful normalization methods developed for interpreting microarray data. Experts examine the mathematical processes that are important in normalizing data and avoiding inherent systematic biases. They also review modern software, including discussions on key algorithms, comparative data, and download locations. The book contains the latest microarray innovations from companies such as Agilent, Affymetrix, and GeneGo as well as new, readily adaptable normalization methods for expression and CGH arrays. It also lists of open-source molecular profiling normalization algorithms available and where to access them.

The Analysis of Gene Expression Data

2006-04-11 Medical
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Release : 2006-04-11
Genre : Medical
Kind : eBook
Book Rating : 790/5 ( reviews)

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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. This book was released on 2006-04-11. 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.

Comparison of Normalization Methods in Microarray Analysis

2006 DNA microarrays
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Release : 2006
Genre : DNA microarrays
Kind : eBook
Book Rating : /5 ( reviews)

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Book Synopsis Comparison of Normalization Methods in Microarray Analysis by : Rong Yang

Download or read book Comparison of Normalization Methods in Microarray Analysis written by Rong Yang. This book was released on 2006. Available in PDF, EPUB and Kindle. Book excerpt:

Methods of Microarray Data Analysis III

2003-09-30 Science
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Release : 2003-09-30
Genre : Science
Kind : eBook
Book Rating : 820/5 ( reviews)

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Book Synopsis Methods of Microarray Data Analysis III by : Kimberly F. Johnson

Download or read book Methods of Microarray Data Analysis III written by Kimberly F. Johnson. This book was released on 2003-09-30. Available in PDF, EPUB and Kindle. Book excerpt: 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.

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.

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