Analyzing Microarray Gene Expression Data (eBook)

Geoffrey McLachlan, Kim-Anh Do, Christophe Ambroise (Autoren)

eBook Download: PDF

2005 | 1. Auflage
352 Seiten
John Wiley & Sons (Verlag)
978-0-471-72612-8 (ISBN)

Infos

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

Autor

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.

Inhalt

Preface.

1. Microarrays in Gene Expression Studies.

2. Cleaning and Normalization.

3. Some Cluster Analysis Methods.

4. Clustering of Tissue Samples.

5. Screening and Clustering of Genes.

6. Discriminant Analysis.

7. Supervised Classification of Tissue Samples.

8. Linking Microarray Data with Survival Analysis.

References.

Author Index.

Subject Index.

Rezensionen

"...well written, logically organized...useful to those
unfamiliar with the microarray literature..." (Journal of
the American Statistical Association, December 2005)

"....would serve as a very good resource for a
graduate topics seminar in advanced applied statistics."
(Short Book Reviews, Vol.25, No.1, April 2005)

"For the intended audience of biostatisticians and
biologists...this book will be an asset." (E-STREAMS,
February 2005)

"I liked this book...expands on both the tools and
applications of microarray data analysis..."
(Technometrics, February 2005)

Produkt-Details

• Erscheint lt. Verlag: 4.3.2005
• Reihe/Serie: Wiley Series in Probability and Statistics
• Reihe/Serie: Wiley Series in Probability and Statistics
• Sprache: englisch
• Themenwelt: Informatik ► Weitere Themen ► Bioinformatik
• Themenwelt: Mathematik / Informatik ► Mathematik ► Statistik
• Themenwelt: Mathematik / Informatik ► Mathematik ► Wahrscheinlichkeit / Kombinatorik
• Themenwelt: Naturwissenschaften ► Biologie ► Biochemie
• Themenwelt: Naturwissenschaften ► Biologie ► Genetik / Molekularbiologie
• Themenwelt: Technik
• Schlagworte: Biotechnologie i. d. Biowissenschaften • Biotechnologie i. d. Chemie • Biotechnology • Biowissenschaften • Chemie • Chemistry • Datenanalyse • Genexpression • Life Sciences • Statistical Genetics / Microarray Analysis • Statistics • Statistik • Statistische Genetik / Microarray-Analyse
• ISBN-10: 0-471-72612-5 / 0471726125
• ISBN-13: 978-0-471-72612-8 / 9780471726128