Analysis of Microarray Gene Expression Data

Mei-Ling Ting Lee

ISBN 10: 0792370872 / ISBN 13: 9780792370871

Published by Springer US Apr 2004, 2004

About this Item

This item is printed on demand - it takes 3-4 days longer - Neuware -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. 400 pp. Englisch.

Seller Inventory # 9780792370871

Bibliographic Details

• Title: Analysis of Microarray Gene Expression Data
• Publisher: Springer US Apr 2004
• Publication Date: 2004
• Language: English
• ISBN 10: 0792370872
• ISBN 13: 9780792370871
• Binding: Buch
• Condition: Neu
• Dimensions: 241W x 160H x 28D millimeters 241 millimeters width by 160 millimeters height by 28 millimeters depth
• Weight: 837 grams

About this title

Synopsis

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.

Review

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)