Analysis of Microarray Gene Expression Data
Author:   Mei-Ling Ting Lee
Publisher:   Springer-Verlag New York Inc.
Edition:   Softcover reprint of the original 1st ed. 2004
ISBN:  

9781475788235


Pages:   377
Publication Date:   31 May 2013
Format:   Paperback
Availability:   Manufactured on demand   Availability explained
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Analysis of Microarray Gene Expression Data


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Overview

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.

Full Product Details

Author:   Mei-Ling Ting Lee
Publisher:   Springer-Verlag New York Inc.
Imprint:   Springer-Verlag New York Inc.
Edition:   Softcover reprint of the original 1st ed. 2004
Dimensions:   Width: 15.50cm , Height: 2.10cm , Length: 23.50cm
Weight:   0.611kg
ISBN:  

9781475788235


ISBN 10:   1475788231
Pages:   377
Publication Date:   31 May 2013
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

Table of Contents

DNA, RNA, Protein, and Gene Expression.- Microarray Technology.- Inherent Variability in Microarray Data.- Background Noise.- Transformation and Normalization.- Missing Values in Microarray Data.- Saturated Intensity Readings in Microarray Data.- Experimental Design.- Anova Models for Michrorray Data.- Multiple Testing in Microarray Studies.- Permutation Tests in Microarray Data.- Bayesian Methods for Microarray Data.- Power and Sample Size Considerations at the Planning Stage.- Cluster Analysis.- Principal Components and Singular Value Decomposition.- Self-organizing Maps.- Discrimination and Classification.- Artificial Neural Networks.- Support Vector Machines.

Reviews

From the reviews: ""This book aims to be a comprehensive work on statistical techniques for analysis of microarray data. … the book contains an elaborate discussion on several variants of useful ANOVA models. … Standard multiple testing and permutation methods are well illustrated. … In conclusion, the book is a successful attempt to be a complete reference work for microarray data analysis. It is certainly a rich source of references."" (M. A. van de Wiel, Kwantitatieve Methoden, Issue 3, 2006)


From the reviews: This book aims to be a comprehensive work on statistical techniques for analysis of microarray data. ... the book contains an elaborate discussion on several variants of useful ANOVA models. ... Standard multiple testing and permutation methods are well illustrated. ... In conclusion, the book is a successful attempt to be a complete reference work for microarray data analysis. It is certainly a rich source of references. (M. A. van de Wiel, Kwantitatieve Methoden, Issue 3, 2006)


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