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
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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)
