Statistical Analysis of Gene Expression Microarray Data
Published on 26. March 2003
240 pages
978-1-135-44137-1 (ISBN)
Description
Although less than a decade old, the field of microarray data analysis is now thriving and growing at a remarkable pace. Biologists, geneticists, and computer scientists as well as statisticians all need an accessible, systematic treatment of the techniques used for analyzing the vast amounts of data generated by large-scale gene expression studies
Reviews / Votes
"The 10 authors are among the world's authorities on the statistical analysis of this new class of biotechnology... . What I like best about this stimulating book is that it allows a simplified logical view of large complex multivariate data sets. ... I highly recommend this book for library purchase, and for individuals in the field... ."- Journal of the Royal Statistical Society, Series A, Vol. 157 (3)
"Analysis for gene expression data is the latest hot new topic in statistical data analysis...[this book] deals with microarray experiments: design and analysis for a comparative study, classification methods for data analysis, and clustering for data analysis. Scientists whose work concerns this type of data will want to get a copy of the book."
-Technometrics, 2003
"...This book is a milestone, documenting major significant advances in the statistical methodology. The four chapters, though independent, share common foci with issues of design, robustness, and the freely available associated software. The statistical ideas are introduced succinctly. The book is especially valuable for research scientists in the field seeking an understanding of the related statistical developments."
- Short Book Reviews of the ISI
More details
Series
Language
English
Place of publication
London
United Kingdom
Publishing group
Taylor & Francis Ltd
Target group
College/higher education
Biologists and researchers in genomics/biotechnology companies; statisticians in bioinformatics and statistical genetics; graduate students in computational genomics, computational biology, and bioinformatics; computer scientists working in computational biology; biomathematicians
Illustrations
99 s/w Abbildungen, 48 farbige Abbildungen, 20 s/w Tabellen
99 b/w images, 48 color images, 20 tables and 95 equations
File size
10,31 MB
ISBN-13
978-1-135-44137-1 (9781135441371)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions
Book
03/2003
1st Edition
Chapman & Hall/CRC
€163.57
Shipment within 15-20 days
Content
Model-Based Analysis of Oligonucleotide Arrays and Issues in cDNA Microarray Analysis. Design and Analysis of Comparative Microarray Experiments. Classification in Microarray Experiments. Clustering Microarray Data. References. Index.
