Analyzing Microarray Gene Expression Data

Regular price €178.50
Quantity:
In stock with our UK publisher. 14-28 days
Delivery/Collection within 10-20 working days
14 days return policy Shipping & Delivery
A01=Christophe Ambroise
A01=Geoffrey J. McLachlan
A01=Kim-Anh Do
analysis
analyze
Author_Christophe Ambroise
Author_Geoffrey J. McLachlan
Author_Kim-Anh Do
available
biological processes
biologists
biostatisticians
Category=PB
Category=PSAK
Category=PSAX
Category=PSB
comprehensive
data
eq_bestseller
eq_isMigrated=1
eq_isMigrated=2
eq_nobargain
eq_non-fiction
eq_science
expression
field
gene
guide
handson
interdisciplinary
methodologies
microarray
perspective
practical
review
seeking

Product details

  • ISBN 9780471226161
  • Weight: 658g
  • Dimensions: 165 x 236mm
  • Publication Date: 24 Aug 2004
  • Publisher: John Wiley & Sons Inc
  • Publication City/Country: US
  • Product Form: Hardback
Secure checkout Fast Shipping Easy returns
A multi-discipline, hands-on guide to microarray analysis of biological processes

Analyzing Microarray Gene Expression Data provides a comprehensive review of available methodologies for the analysis of data derived from the latest DNA microarray technologies. Designed for biostatisticians entering the field of microarray analysis as well as biologists seeking to more effectively analyze their own experimental data, the text features a unique interdisciplinary approach and a combined academic and practical perspective that offers readers the most complete and applied coverage of the subject matter to date.

Following a basic overview of the biological and technical principles behind microarray experimentation, the text provides a look at some of the most effective tools and procedures for achieving optimum reliability and reproducibility of research results, including:

  • An in-depth account of the detection of genes that are differentially expressed across a number of classes of tissues
  • Extensive coverage of both cluster analysis and discriminant analysis of microarray data and the growing applications of both methodologies
  • A model-based approach to cluster analysis, with emphasis on the use of the EMMIX-GENE procedure for the clustering of tissue samples
  • The latest data cleaning and normalization procedures
  • The uses of microarray expression data for providing important prognostic information on the outcome of disease
GEOFFREY J. McLACHLAN, PhD, is Professor of Statistics at the University of Queensland, Australia, and the author of four very successful statistical texts.

KIM-ANH DO, PhD, is Professor of Biostatistics at the University of Texas MD Anderson Cancer Center in Houston, Texas.

CHRISTOPHE AMBROISE, PhD, is Lecturer at the Université de Technologie de Compiègne in France.

More from this author