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Methods of Microarray Data Analysis V

  • Book
  • © 2007

Overview

Editors:
  1. Patrick McConnell

    1. Duke University, USA

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    You can also search for this editor in PubMed   Google Scholar

  2. Simon M. Lin

    1. Northwestern University, USA

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    You can also search for this editor in PubMed   Google Scholar

  3. Patrick Hurban

    1. Icoria, Inc., USA

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    You can also search for this editor in PubMed   Google Scholar

  • Dedicated solely to the analysis of microarray data
  • Unique approach of "presenting different methods by analyzing the same data set" shows the strengths and weakness of each method
  • Provides a wide range of input from all types of researchers, for academic and industrial researchers, and core bioinformatics/genomics courses in undergraduate and graduate programs
  • Microarray data from the causative agent of malaria
  • Includes supplementary material: sn.pub/extras

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Table of contents (11 chapters)

  1. Front Matter

    Pages i-xiii
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  2. Data Mining of Malaria Parasite Gene Expression for Possible Translational Research

    • Raphael D. Isokpehi
    Pages 1-10

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

    • 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

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

    • A. Sboner, A. Romanel, A. Malossini, F. Ciocchetta, F. Demichelis, I. Azzini et al.
    Pages 27-44

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

    • J. Noyola-Martinez, C. Shaw, B. Christian, G. Fox, M. Stevens, N. Garg et al.
    Pages 45-58

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

    • Yin Liu, Ning Sun, Junfeng Liu, Liang Chen, Michael McIntosh, Liangbiao Zheng et al.
    Pages 59-74

  7. Construction of Malaria Gene Expression Network Using Partial Correlations

    • Raya Khanin, Ernst Wit
    Pages 75-88

  8. Detecting Network Motifs in Gene Co-expression Networks Through Integration of Protein Domain Information

    • Xinxia Peng, Michael A. Langston, Arnold M. Saxton, Nicole E. Baldwin, Jay R. Snoddy
    Pages 89-102

  9. Chromosomal Clustering of Periodically Expressed Genes in Plasmodium falciparum

    • Pingzhao Hu, Celia M. T. Greenwood, Cyr Emile M’lan, Joseph Beyene
    Pages 103-119

  10. PlasmoTFBM: An Intelligent Queriable Database for Predicted Transcription Factor Binding Motifs in Plasmodium falciparum

    • Chengyong Yang, Erliang Zeng, Kalai Mathee, Giri Narasimhan
    Pages 121-136

  11. Linking Gene Expression Patterns and Transcriptional Regulation in Plasmodium falciparum

    • Aidan J. Peterson, Andrew V. Kossenkov, Michael F. Ochs
    Pages 137-156

  12. Chromosomal Spatial Correlation of Gene Expression in Plasmodium falciparum

    • J. B. Christian, C. Shaw, J. Noyola-Martinez, M. C. Gustin, D. W. Scott, R. Guerra
    Pages 157-171

  13. Back Matter

    Pages 173-175
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Keywords

About this book

As studies using microarray technology have evolved, so have the data analysis methods used to analyze these experiments. The CAMDA (Critical Assessment of Microarray Data Analysis) conference was the first to establish a forum for a cross section of researchers to look at a common data set and apply innovative analytical techniques to microarray data. Methods of Microarray Analysis V includes selected papers from CAMDA'04, and focuses on data sets relating to a significant global health issue, malaria. Previous books focused on classification (V. I), pattern recognition (V. II), quality control issues (V. III), and associating array data with a survival endpoint, lung cancer, (V. IV). The contributions come from research fields including statistics, biology, computer science and mathematics. Part of the book is devoted to review papers, which provide a more general look at various analytical approaches. It also presents some background readings for the advanced topics discussed in the CAMDA papers.

Editors and Affiliations

  • Duke University, USA

    Patrick McConnell

  • Northwestern University, USA

    Simon M. Lin

  • Icoria, Inc., USA

    Patrick Hurban

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