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
Imprint:   Springer
Edition:   2004 ed.
Dimensions:   Width: 15.50cm , Height: 2.10cm , Length: 23.50cm
Weight:   0.837kg
ISBN:  

9780792370871

ISBN 10:   0792370872
Pages:   377
Publication Date:   30 April 2004
Audience:   General/trade ,  Professional and scholarly ,  College/higher education ,  General ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Active
Availability:   Out of stock  
The supplier is temporarily out of stock of this item. It will be ordered for you on backorder and shipped when it becomes available.

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)

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: <p> This book aims to be a comprehensive work on statistical techniques for analysis of microarray data. a ] the book contains an elaborate discussion on several variants of useful ANOVA models. a ] Standard multiple testing and permutation methods are well illustrated. a ] 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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