Methods of Microarray Data Analysis V

Editors: McConnell, Patrick, Lin, Simon, Hurban, Patrick (Eds.)

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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.

Table of contents (11 chapters)

  • Data Mining of Malaria Parasite Gene Expression for Possible Translational Research

    Isokpehi, Raphael D.

    Pages 1-10

  • Constructing Probabilistic Genetic Networks of Plasmodium falciparum from Dynamical Expression Signals of the Intraerythrocytic Development Cycle

    Barrera, Junior (et al.)

    Pages 11-26

  • Simple Methods for Peak and Valley Detection in Time Series Microarray Data

    Sboner, A. (et al.)

    Pages 27-44

  • Oxidative Stress Genes in Plasmodium falciparum as Indicated by Temporal Gene Expression

    Noyola-Martinez, J. (et al.)

    Pages 45-58

  • Identifying Stage-Specific Genes by Combining Information from Two Different Types of Oligonucleotide Arrays

    Liu, Yin (et al.)

    Pages 59-74

Buy this book

eBook $119.00
price for USA in USD (gross)
  • ISBN 978-0-387-34569-7
  • Digitally watermarked, DRM-free
  • Included format: PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $159.99
price for USA in USD
  • ISBN 978-0-387-34568-0
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Softcover $159.00
price for USA in USD
  • ISBN 978-1-4419-4179-4
  • 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 V
Editors
  • Patrick McConnell
  • Simon Lin
  • Patrick Hurban
Copyright
2007
Publisher
Springer US
Copyright Holder
Springer-Verlag US
eBook ISBN
978-0-387-34569-7
DOI
10.1007/978-0-387-34569-7
Hardcover ISBN
978-0-387-34568-0
Softcover ISBN
978-1-4419-4179-4
Edition Number
1
Number of Pages
XIV, 176
Number of Illustrations and Tables
115 b/w illustrations
Topics