Methods of Microarray Data Analysis III: Papers from CAMDA '02 / Edition 1

Hardcover (Print)
Buy New
Buy New from
Used and New from Other Sellers
Used and New from Other Sellers
from $68.00
Usually ships in 1-2 business days
(Save 37%)
Other sellers (Hardcover)
  • All (5) from $68.00   
  • New (3) from $80.98   
  • Used (2) from $68.00   


As microarray technology has matured, data analysis methods have advanced as well. Methods Of Microarray Data Analysis III is the third book in this pioneering series dedicated to the existing new field of microarrays. While initial techniques focused on classification exercises (volume I of this series), and later on pattern extraction (volume II of this series), this volume focuses on data quality issues. Problems such as background noise determination, analysis of variance, and errors in data handling are highlighted. Three tutorial papers are presented to assist with a basic understanding of underlying principles in microarray data analysis, and twelve new papers are highlighted analyzing the same CAMDA'02 datasets: the Project Normal data set or the Affymetrix Latin Square data set. A comparative study of these analytical methodologies brings to light problems, solutions and new ideas. This book is an excellent reference for academic and industrial researchers who want to keep abreast of the state of art of microarray data analysis.

Read More Show Less

Product Details

  • ISBN-13: 9781402075827
  • Publisher: Springer US
  • Publication date: 9/28/2003
  • Edition description: 2003
  • Edition number: 1
  • Pages: 252
  • Product dimensions: 6.10 (w) x 9.48 (h) x 0.75 (d)

Meet the Author

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

Simon M. Lin is Manager of Duke Bioinformatics Shared Resource, Duke University Medical Center.

Read More Show Less

Table of Contents

Contributing Authors. Preface. Introduction. Section I: Tutorials. The Biology Behind Gene Expression: A Basic Tutorial; M.F. Ochs, E.A. Golemis. Monitoring the Quality of Microarray Experiments; K.R. Coombes, Jing Wang, L.V. Abruzzo. Outliers in Microarray Data Analysis; R.K. Pearson, G.E. Gonye, J.S. Schwaber. Section II: Best Presentation Award. Organ-Specific Differences in Gene Expression and Unigene Annotations Describing Source Material; D.N. Stivers, Jing Wang, G.L. Rosner, K.R. Coombes. Section III: Analyzing Images. Characterization, Modeling, and Simulation of Mouse Microarray Data; D.S. Lalush. Topological Adjustments to Genechip Expression Values; A. Ptitsyn. Section IV: Normalizing Raw Data. Comparison of Normalization Methods for CDNA Microarrays; L. Warren, B. Liu. Section V: Characterizing Technical and Biological Variance. Simultaneous Assessment of Transcriptomic Variability and Tissue Effects in the Normal Mouse; Shibing Deng, Tzu-Ming Chu, R. Wolfinger. How Many Mice and How Many Arrays? Replication in Mouse CDNA Microarray Experiments; Xiangqin Cui, G.A. Churchill. Bayesian Characterization of Natural Variation in Gene Expression; M. Bhattacharjee, C. Pritchard, M.J. Sillanpää, E. Arjas. Section VI: Investigating Cross Hybridization On Oligonucleotide Microarrays. Quantification of Cross Hybridization on Oligonucleotide Microarrays; Li Zhang, K.R. Coombes, Lianchun Xiao. Assessing The Potential Effect Of Cross-Hybridization On Oligonucleotide Microarrays; S. Kachalo, Z. Arbieva, Jie Liang. Who Are Those Strangers in the Latin Square? Wen-Ping Hsieh, Tzu-Ming Chu, R. Wolfinger. Section VII: Finding Patterns and Seeking Biological Explanations. Bayesian Decomposition Classification of the Project Normal Data Set; T.D. Moloshok, D. Datta, A.V. Kossenkov, M.F. Ochs. The Use of Go Terms to Understand the Biological Significance of Microarray Differential Gene Expression Data; R. Díaz-Uriarte, F. Al-Shahrour, J. Dopazo.Acknowledgments. Index.
Read More Show Less

Customer Reviews

Be the first to write a review
( 0 )
Rating Distribution

5 Star


4 Star


3 Star


2 Star


1 Star


Your Rating:

Your Name: Create a Pen Name or

Barnes & Review Rules

Our reader reviews allow you to share your comments on titles you liked, or didn't, with others. By submitting an online review, you are representing to Barnes & that all information contained in your review is original and accurate in all respects, and that the submission of such content by you and the posting of such content by Barnes & does not and will not violate the rights of any third party. Please follow the rules below to help ensure that your review can be posted.

Reviews by Our Customers Under the Age of 13

We highly value and respect everyone's opinion concerning the titles we offer. However, we cannot allow persons under the age of 13 to have accounts at or to post customer reviews. Please see our Terms of Use for more details.

What to exclude from your review:

Please do not write about reviews, commentary, or information posted on the product page. If you see any errors in the information on the product page, please send us an email.

Reviews should not contain any of the following:

  • - HTML tags, profanity, obscenities, vulgarities, or comments that defame anyone
  • - Time-sensitive information such as tour dates, signings, lectures, etc.
  • - Single-word reviews. Other people will read your review to discover why you liked or didn't like the title. Be descriptive.
  • - Comments focusing on the author or that may ruin the ending for others
  • - Phone numbers, addresses, URLs
  • - Pricing and availability information or alternative ordering information
  • - Advertisements or commercial solicitation


  • - By submitting a review, you grant to Barnes & and its sublicensees the royalty-free, perpetual, irrevocable right and license to use the review in accordance with the Barnes & Terms of Use.
  • - Barnes & reserves the right not to post any review -- particularly those that do not follow the terms and conditions of these Rules. Barnes & also reserves the right to remove any review at any time without notice.
  • - See Terms of Use for other conditions and disclaimers.
Search for Products You'd Like to Recommend

Recommend other products that relate to your review. Just search for them below and share!

Create a Pen Name

Your Pen Name is your unique identity on It will appear on the reviews you write and other website activities. Your Pen Name cannot be edited, changed or deleted once submitted.

Your Pen Name can be any combination of alphanumeric characters (plus - and _), and must be at least two characters long.

Continue Anonymously

    If you find inappropriate content, please report it to Barnes & Noble
    Why is this product inappropriate?
    Comments (optional)