Methods of Microarray Data Analysis

  • Jennifer S. Shoemaker
  • Simon M. Lin

Table of contents

  1. Front Matter
    Pages i-xvi
  2. Pages 1-8
  3. Peter J. Park
    Pages 21-34
  4. Jeffrey S. Morris, Guosheng Yin, Keith Baggerly, Chunlei Wu, Li Zhang
    Pages 51-66
  5. Linda Warnock, Richard Stephens, JoAnn Coleman
    Pages 67-80
  6. Xiwu Lin, Daniel Park, Sergio Eslava, Kwan R. Lee, Raymond L.H. Lam, Lei A. Zhu
    Pages 81-94
  7. Jianhua Hu, Guosheng Yin, Jeffrey S. Morris, Li Zhang, Fred A. Wright
    Pages 95-108
  8. Sin-Ho Jung, Kouros Owzar, Stephen George
    Pages 109-120
  9. Craig Friedman, Wenbo Cao, Cheng Fan
    Pages 133-146
  10. Daniel Berrar, Brian Sturgeon, Ian Bradbury, C. Stephen Downes, Werner Dubitzky
    Pages 147-162
  11. Liat Ben-Tovim Jones, Shu-Kay Ng, Christophe Ambroise, Katrina Monico, Nazim Khan, Geoff McLachlan
    Pages 163-173
  12. Wenting Zhou, Weichen Wu, Nathan Palmer, Emily Mower, Noah Daniels, Lenore Cowen et al.
    Pages 175-190
  13. F. Crimins, R. Dimitri, T. Klein, N. Palmer, L. Cowen
    Pages 191-205
  14. Gaolin Zheng, E. Olusegun George, Giri Narasimhan
    Pages 207-222
  15. Michael A. Langston, Lan Lin, Xinxia Peng, Nicole E. Baldwin, Christopher T. Symons, Bing Zhang et al.
    Pages 223-238
  16. Andrew V. Kossenkov, Ghislain Bidaut, Michael F. Ochs
    Pages 239-253
  17. Back Matter
    Pages 255-256

About this book


As studies using microarray technology have evolved, so have the data analysis methods used to analyze these experiments. The CAMDA conference plays a role in this evolving field by providing a forum in which investors can analyze the same data sets using different methods. METHODS OF MICROARRAY DATA ANALYSIS IV is the fourth book in this series, and focuses on the important issue of associating array data with a survival endpoint. Previous books in this series focused on classification (Volume I), pattern recognition (Volume II), and quality control issues (Volume III).

In this volume, four lung cancer data sets are the focus of analysis. We highlight three tutorial papers, including one to assist with a basic understanding of lung cancer, a review of survival analysis in the gene expression literature, and a paper on replication. In addition, 14 papers presented at the conference are included. This book is an excellent reference for academic and industrial researchers who want to keep abreast of the state-of-the-art of microarray data analysis.

Jennifer Shoemaker is a faculty member in the Department of Biostatistics and Bioinformatics and the Director of the Bioinformatics Unit for the Cancer and Leukemia Group B Statistical Center, Duke University Medical Center. Simon Lin is a faculty member in the Department of Biostatistics and Bioinformatics and the Manager of the Duke Bioinformatics Shared Resource, Duke University Medical Center.


Microarray bioinformatics carcinoma classification gene expression genes

Editors and affiliations

  • Jennifer S. Shoemaker
    • 1
  • Simon M. Lin
    • 1
  1. 1.Duke Bioinformatics Shared ResourceDuke University Medical CenterDurhamUSA

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