Methods of Microarray Data Analysis V

  • Patrick McConnell
  • Simon M. Lin
  • Patrick Hurban

Table of contents

  1. Front Matter
    Pages i-xiii
  2. Junior Barrera, Roberto M. Cesar Jr., David C. Martins Jr., Ricardo Z. N. Vêncio, Emilio F. Merino, Márcio M. Yamamoto et al.
    Pages 11-26
  3. A. Sboner, A. Romanel, A. Malossini, F. Ciocchetta, F. Demichelis, I. Azzini et al.
    Pages 27-44
  4. J. Noyola-Martinez, C. Shaw, B. Christian, G. Fox, M. Stevens, N. Garg et al.
    Pages 45-58
  5. Yin Liu, Ning Sun, Junfeng Liu, Liang Chen, Michael McIntosh, Liangbiao Zheng et al.
    Pages 59-74
  6. Xinxia Peng, Michael A. Langston, Arnold M. Saxton, Nicole E. Baldwin, Jay R. Snoddy
    Pages 89-102
  7. Pingzhao Hu, Celia M. T. Greenwood, Cyr Emile M’lan, Joseph Beyene
    Pages 103-119
  8. Aidan J. Peterson, Andrew V. Kossenkov, Michael F. Ochs
    Pages 137-156
  9. J. B. Christian, C. Shaw, J. Noyola-Martinez, M. C. Gustin, D. W. Scott, R. Guerra
    Pages 157-171
  10. Back Matter
    Pages 173-175

About this book


Since the inception of microarrays, studies in this field have drastically evolved with analysis methods needing to advance in-step. The CAMDA conference plays a role in this ever-changing discipline by providing a forum in which investigators can analyze the same datasets using different methods.

Methods of Microarray Data Analysis V is the fifth book in this series, and focuses on the important issue of analyzing array data in a time series with correlating biological data. Previous books in this series focused on classification (Volume I), pattern recognition (Volume II), quality control issues (Volume III), and survival analysis (Volume IV).

In this volume, all investigators analyzed a single dataset on the lifecycle of the most deadly of malaria parasites, Plasmodium falciparum. The emphasis this year is on the application of novel and existing computational methodologies towards infectious disease. We highlight an introductory chapter by Raphael D. Isokpehi, a leading expert in the field of malaria. Ten of the papers presented at the conference are included, which range from the inference of genetic networks to the analysis of the spatial correlation of array data. This book is an excellent reference for academic and industrial researchers who want to keep abreast of the state-of-the-art in microarray data analysis.

Patrick McConnell is a researcher in the Duke Bioinformatics Group in the Duke Comprehensive Cancer Center.

Simon M. Lin is a faculty member in the Robert H. Lurie Comprehensive Cancer Center and associate director of Bioinformatics at Northwestern University.

Patrick Hurban is director of Investigational Genomics at Icoria, Inc., a Clinical Data company.


CAMDA 2005 Expression Nucleotide Protein Regulation Translation chromosome classification gene expression genes malaria microarray data analysis quality transcription

Editors and affiliations

  • Patrick McConnell
    • 1
  • Simon M. Lin
    • 2
  • Patrick Hurban
    • 3
  1. 1.Duke UniversityUSA
  2. 2.Northwestern UniversityUSA
  3. 3.Icoria, Inc.USA

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