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Original Essays | September 15, 2014

Lois Leveen: IMG Forsooth Me Not: Shakespeare, Juliet, Her Nurse, and a Novel



There's this writer, William Shakespeare. Perhaps you've heard of him. He wrote this play, Romeo and Juliet. Maybe you've heard of it as well. It's... Continue »
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    Juliet's Nurse

    Lois Leveen 9781476757445

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Analyzing Microarray Gene Expression Data (Wiley Series in Probability and Statistics)

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Analyzing Microarray Gene Expression Data (Wiley Series in Probability and Statistics) Cover

 

Synopses & Reviews

Publisher Comments:

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

Book News Annotation:

This review of methodologies for analyzing DNA microarray data is aimed at biostatisticians entering the field of microarray gene expression and biologists conducting statistical analyses of their own experimental data. Using an interdisciplinary approach, McLachlan (statistics, U. of Queensland), Do (biostatistics, U. of Texas) and Ambroise (Universit<'e>, de Technologie de Compi<`e>gne, France) focus on tools and procedures for achieving reliable, reproducible results. They also cover the biology and technology underlying microarray experiments, as well as data cleaning and normalization.
Annotation 2004 Book News, Inc., Portland, OR (booknews.com)

Synopsis:

The analysis of microarray gene expression data is increasingly important to both statistics and science. The methodology to examine the "cleaned data" is an essential aspect of the field. This comprehensive review discusses the methodology needed to analyze data such as microarray gene expression data, with coverage of the cleaning of such data as well.

Synopsis:

* Highlights the important general field of bioinformatics and genomics and discusses the impact of microarray analysis on both

About the Author

GEOFFREY J. McLACHLAN, PhD, is Professor of Statistics at the University of Queensland, Australia, and the author of four very successful statistical texts.

KIM-ANH DO, PhD, is Professor of Biostatistics at the University of Texas MD Anderson Cancer Center in Houston, Texas.

CHRISTOPHE AMBROISE, PhD, is Lecturer at the Université de Technologie de Compiègne in France.

Table of Contents

Preface.

1. Microarrays in Gene Expression Studies.

2. Cleaning and Normalization.

3. Some Cluster Analysis Methods.

4. Clustering of Tissue Samples.

5. Screening and Clustering of Genes.

6. Discriminant Analysis.

7. Supervised Classification of Tissue Samples.

8. Linking Microarray Data with Survival Analysis.

References.

Author Index.

Subject Index.

Product Details

ISBN:
9780471226161
Author:
Mclachlan, Geoffrey J.
Publisher:
Wiley-Interscience
Author:
Do, Kim-Anh
Author:
McLachlan, Geoffrey J.
Author:
Ambroise, Christophe
Author:
McLachlan, Geoffrey
Subject:
Statistical methods
Subject:
Biostatistics
Subject:
Gene expression
Subject:
Life Sciences - Genetics & Genomics
Subject:
Life Sciences - Biology - Molecular Biology
Subject:
Statistics
Subject:
DNA microarrays - Statistical methods
Subject:
Gene expression - Statistical methods
Subject:
Biology-Genetics
Subject:
Statistical Genetics / Microarray Analysis
Copyright:
Edition Description:
WOL online Book (not BRO)
Series:
Wiley Series in Probability and Statistics
Series Volume:
422
Publication Date:
August 2004
Binding:
HARDCOVER
Grade Level:
Professional and scholarly
Language:
English
Illustrations:
Y
Pages:
368
Dimensions:
9.62x6.44x.91 in. 1.43 lbs.

Related Subjects

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Science and Mathematics » Mathematics » Probability and Statistics » General
Science and Mathematics » Mathematics » Probability and Statistics » Statistics

Analyzing Microarray Gene Expression Data (Wiley Series in Probability and Statistics) New Hardcover
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Product details 368 pages Wiley-Interscience - English 9780471226161 Reviews:
"Synopsis" by , The analysis of microarray gene expression data is increasingly important to both statistics and science. The methodology to examine the "cleaned data" is an essential aspect of the field. This comprehensive review discusses the methodology needed to analyze data such as microarray gene expression data, with coverage of the cleaning of such data as well.
"Synopsis" by , * Highlights the important general field of bioinformatics and genomics and discusses the impact of microarray analysis on both
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