Methods of Microarray Data Analysis II: Papers from CAMDA ?01

Simon M. Lin & Kimberly F. Johnson (editors)

ISBN 10: 1402071116 / ISBN 13: 9781402071119

Published by Kluwer Academic Publishers, 2002

About this Item

Mint condition! As new in hardcover -- square, tight, and unmarked -- with no markings or defects of any kind. An apparent first edition. Copy is in suitable condition for adding to a library collection. Ships from NC. All hardbacks are sealed in recycled plastic, packaged securely, and shipped promptly. (C-6.).

Seller Inventory # ABE-1747225004905

Bibliographic Details

• Title: Methods of Microarray Data Analysis II: Papers from CAMDA ?01
• Publisher: Kluwer Academic Publishers
• Publication Date: 2002
• Language: English
• ISBN 10: 1402071116
• ISBN 13: 9781402071119
• Binding: Hardcover
• Edition: 1st Edition
• Condition: As New

About this title

Synopsis

Microarray technology is a major experimental tool for functional genomic explorations, and will continue to be a major tool throughout this decade and beyond. The recent explosion of this technology threatens to overwhelm the scientific community with massive quantities of data. Because microarray data analysis is an emerging field, very few analytical models currently exist. Methods of Microarray Data Analysis II is the second book in this pioneering series dedicated to this exciting new field. In a single reference, readers can learn about the most up-to-date methods, ranging from data normalization, feature selection, and discriminative analysis to machine learning techniques.

Currently, there are no standard procedures for the design and analysis of microarray experiments. Methods of Microarray Data Analysis II focuses on a single data set, using a different method of analysis in each chapter. Real examples expose the strengths and weaknesses of each method for a given situation, aimed at helping readers choose appropriate protocols and utilize them for their own data set. In addition, web links are provided to the programs and tools discussed in several chapters. This book is an excellent reference not only for academic and industrial researchers, but also for core bioinformatics/genomics courses in undergraduate and graduate programs.

About the Author

Simon M. Lin is Manager of Duke Bioinformatics Shared Resource, Duke University Medical Center.
Kimberly F. Johnson is Director of Duke Cancer Center Information Systems and Director of Duke Bioinformatics Shared Resource, Duke University Medical Center.