Methods of Microarray Data Analysis II

Papers from CAMDA ’01

Editors: Lin, Simon M., Johnson, Kimberly F. (Eds.)

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About this book

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 authors

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.

Table of contents (14 chapters)

  • Introduction

    Pages 1-7

  • An Introduction to DNA Microarrays

    McConnell, Patrick (et al.)

    Pages 9-21

  • Experimental Design for Gene Microarray Experiments and Differential Expression Analysis

    Bobashev, G. V. (et al.)

    Pages 23-41

  • Microarray Data Processing and Analysis

    Dopazo, Joaquín

    Pages 43-63

  • Biology-driven Clustering of Microarray Data

    Coombes, Kevin R. (et al.)

    Pages 65-79

Buy this book

eBook $149.00
price for USA (gross)
  • ISBN 978-0-306-47598-6
  • Digitally watermarked, DRM-free
  • Included format: PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $229.00
price for USA
  • ISBN 978-1-4020-7111-9
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Softcover $199.00
price for USA
  • ISBN 978-1-4757-8831-0
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
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Bibliographic Information

Bibliographic Information
Book Title
Methods of Microarray Data Analysis II
Book Subtitle
Papers from CAMDA ’01
Editors
  • Simon M. Lin
  • Kimberly F. Johnson
Copyright
2002
Publisher
Springer US
Copyright Holder
Springer Science+Business Media New York
eBook ISBN
978-0-306-47598-6
DOI
10.1007/b112982
Hardcover ISBN
978-1-4020-7111-9
Softcover ISBN
978-1-4757-8831-0
Edition Number
1
Number of Pages
XII, 214
Topics