Analysis of Microarray Gene Expression Data

Mei-Ling, Ting Lee

ISBN 10: 0792370872 / ISBN 13: 9780792370871

Published by Kluwer Academic Publishers, 2004

About this Item

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. This book provides readers with an integrated presentation of various topics on analyzing microarray data. Series: Trends in Logic. Num Pages: 377 pages, 18 black & white illustrations, biography. BIC Classification: PSAK1. Category: (G) General (US: Trade); (P) Professional & Vocational; (U) Tertiary Education (US: College). Dimension: 235 x 155 x 21. Weight in Grams: 774. . 2004. 2004th Edition. hardcover. . . . . Books ship from the US and Ireland.

Seller Inventory # V9780792370871

Bibliographic Details

• Title: Analysis of Microarray Gene Expression Data
• Publisher: Kluwer Academic Publishers
• Publication Date: 2004
• Language: English
• ISBN 10: 0792370872
• ISBN 13: 9780792370871
• Binding: Hardcover
• Condition: New

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)