The Analysis of Gene Expression Data

Features

• Cover Type: Hard Cover with 504 pages
• Published by: Springer
• Edition: 1st Edition April 8, 2003
• Written in: English
• ISBN 10 Number: 0387955771
• ISBN 13 Number: 978-0387955773
• Book Dimensions: 9.3 x 6.3 x 1.1 inches
• Weighs: 2 pounds

Product Review


From the reviews:

"This useful book about methods and software for microarray data analysis is written by the developers. The goal of the book is to provide guidance to practitioners in the techniques of analysis and programs. The book combines the advantages of both a tutorial in methods and catalogue for software. Procedures are described and their implementations illustrated. All of the software described is freely available to academic usersThe table of contents indicates the encyclopedic coverage, spanning a very broad spectrum of methods. The collection is introduced with an informative overview. While the authors acknowledge the formative stage of current work, they have provided a useful guide to the here and now." ISI Short Book Reviews, Vol. 23/3, August 2003

"The opening chapter contributed by the editors is an great overview of the field and the threads that make it upThere is a definite hands-on character to all the presentations. Generally, each contributor selected a different but interesting set of data to demonstrate the approach." Journal of Statsitical Software, April 2005

"The editors state that the goal of this book is to provide guidance to practitioners in deciding which statistical approaches and packages may be indicated for their projects . All chapters contain clear directions for installing and using the presented packages. For the practitioner of microarray data analysis, this book contains a wealth of readily available tools. For the statistician who wants to get acquainted with this rapidly evolving area, the book offers a glimpse of current problems and methods ." (Ricardo A. Maronna, Statistical Papers, Vol. 45 (2), 2004)

"This volume provides a summary of many of the issues and software that are available. This is a welcome volume. The first chapter provides a wonderful introduction to the field. The later chapters are more specialised. These chapters are good references to the individual programs and methods and can be used to find links to the major software for microarray analysis." (Peter A. Lachenbruch, ISCB Newsletter, Issue 38, December, 2004)

"This useful book about methods and software for microarray data analysis is written by the developers. The goal of the book is to provide guidance to practitioners in the techniques of analysis and programs. The book combines the advantages of both a tutorial in methods and catalogue for software. Procedures are described and their implementations illustrated. While the authors acknowledge the formative stage of current work, they have provided a useful guide to the here and now." (D. F. Andrews, Short Book Reviews, Vol. 23 (2), 2003)

"This book is a collection of papers on statistical techniques for gene expression data. The book is well written and I enjoyed reading the book. The chapters that discuss the same statistical topics often have different approaches or focuses on the type of arrays. This makes it worthwhile to read the sections on a particular topic in all chapters. I recommend this book to anyone who is interested in or performing the analysis of microarray data." (dr E. R. van den Heuvel, Kwantitatieve Methoden, April, 2004)

"Gene expression microarray technology was introduced in 1995, but it is only in 1998 that the scientific community started using this tool . Writing a book on such a novel subject matter is not a simple task. The Analysis of Gene Expression Data: Methods and software appears as a successful attempt. this book succeeds in the not trivial task of providing an informative, accessible, overall picture of the contributions of statisticians to the analysis of microarray data." (Chiara Sabatti, Statistics in Medicine, Vol. 23, 2004)

Product Description
This book presents practical approaches for the analysis of data from gene expression microarrays. Each chapter describes the conceptual and methodological underpinning for a statistical tool and its implementation in software. Methods cover all aspects of statistical analysis of microarrays, from annotation and filtering to clustering and classification. Chapters are written by the developers of the software. All software packages described are free to academic users. The book includes coverage of various packages that are part of the Bioconductor project and several related R tools. The materials presented cover a range of software tools designed for varied audiences. Some chapters describe simple menu-driven software in a easy to use fashion, and are designed to be accessible to microarray data analysts without formal quantitative training. Most chapters are directed at microarray data analysts with master-level training in computer science, biostatistics or bioinformatics. A minority of more advanced chapters are intended for doctoral students and researchers. The team of editors is from the Johns Hopkins Schools of Medicine and Public Health and has been involved with developing methods and software for microarray data analysis since the inception of this technology. Giovanni Parmigiani is Associate Professor of Oncology, Pathology and Biostatistics. He is the author of the book on "Modeling in Medical decision Making," a fellow of the ASA, and a recipient of the Savage Awards for Bayesian statistics. Elizabeth S. Garrett is Assistant Professor of Oncology and Biostatistics, and recipient of the Abbey Award for statistical education. Rafael A Irizarry is Assistant Professor of Biostatistics, and recipient of the Noether Award for non-parametric statistics. Scott L. Zeger is Professor and chair of Biostatistics. He is co-author of the book "Longitudinal Data Analysis," a fellow of the ASA and recipient of the Spiegelman Award for public health statistics.

Reader Reviews
I thumbed through a copy of this book, but I admit I haven't read it. It just doesn't meet my needs. It's about a number of software packages available for analyzing microarray and related kinds of data. Different sections of the book seemed to range from brief surveys to fairly detailed how-to chapters, by different authors, describing different packages. I'm interested in microarray data analysis, but I want the more theoretical material - the basic computations and the principles behind them. Details of statistical and analytic techniques were too scattered, if present at all, to hold my interest. If you want the biological or medical answers from the programs without worrying too much about how they're derived, maybe this book will help you. Or maybe not, I'm not the one to judge - three stars, just because I had to give some number. Comment | | (Report this)