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  • © 2007

Microarray Data Analysis

Methods and Applications

  • Information on an array of topics including genomic signal processing, matrix algebra and genetic networks, predictive models of gene regulation, comparing microarray studies, identifying progression-associated genes in astrocytoma, analysis of comparative genomic hybridization data on cDNA microarrays, statistical framework for gene expression analysis, and interpretation ingof microarray results with gene ontology and MeSH ontology
  • Use classic, novel, and state-of-the-art methods in a readily reproducible format
  • Master tricks of the trade, troubleshoot, and avoid known pitfalls

Part of the book series: Methods in Molecular Biology (MIMB, volume 377)

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Table of contents (16 protocols)

  1. Front Matter

    Pages i-xiii
  2. Microarray Data Analysis

    • Ashani T. Weeraratna, Dennis D. Taub
    Pages 1-16
  3. Signal Processing and the Design of Microarray Time-Series Experiments

    • Robert R. Klevecz, Caroline M. Li, James L. Bolen
    Pages 75-94
  4. Predictive Models of Gene Regulation

    • Debopriya Das, Michael Q. Zhang
    Pages 95-110
  5. Statistical Framework for Gene Expression Data Analysis

    • Olga Modlich, Marc Munnes
    Pages 111-130
  6. Gene Expression Profiles and Prognostic Markers for Primary Breast Cancer

    • Yixin Wang, Jan Klijn, Yi Zhang, David Atkins, John Foekens
    Pages 131-138
  7. Comparing Microarray Studies

    • Mayte Suárez-Fariñas, Marcelo O. Magnasco
    Pages 139-152
  8. A Pitfall in Series of Microarrays

    • Gábor Balázsi, Zoltán N. Oltvai
    Pages 153-161
  9. In-Depth Query of Large Genomes Using Tiling Arrays

    • Manoj Pratim Samanta, Waraporn Tongprasit, Viktor Stolc
    Pages 163-173
  10. Integrated High-Resolution Genome-Wide Analysis of Gene Dosage and Gene Expression in Human Brain Tumors

    • Dejan Juric, Claudia Bredel, Branimir I. Sikic, Markus Bredel
    Pages 187-202
  11. Progression-Associated Genes in Astrocytoma Identified by Novel Microarray Gene Expression Data Reanalysis

    • Tobey J. MacDonald, Ian F. Pollack, Hideho Okada, Soumyaroop Bhattacharya, James Lyons-Weiler
    Pages 203-221
  12. Interpreting Microarray Results With Gene Ontology and MeSH

    • John D. Osborne, Lihua (Julie) Zhu, Simon M. Lin, Warren A. Kibbe
    Pages 223-241
  13. Incorporation of Gene Ontology Annotations to Enhance Microarray Data Analysis

    • Michael F. Ochs, Aidan J. Peterson, Andrew Kossenkov, Ghislain Bidaut
    Pages 243-254
  14. Predicting Survival in Follicular Lymphoma Using Tissue Microarrays

    • Michael J. Korenberg, Pedro Farinha, Randy D. Gascoyne
    Pages 255-268
  15. Back Matter

    Pages 269-273

About this book

In this new volume, renowned authors contribute fascinating, cutting-edge insights into microarray data analysis. Included in this innovative book includes are in-depth looks intopresentations of genomic signal processing, artificial neural network use for microarray data analysis, signal processing and design of microarray time series experiments, application of regression methods, gene expression sprofiles and prognostic markers for primary breast cancer, and factors affecting the cross-correlation of gene expression profiles. Also detailed are use of tiling arrays for large genomes analysis using tiling arrays, acomparative genomic hybridization data on cDNA microarrays, integrated high-resolution genome-wide analysis of gene dosage and gene expression in human brain tumors, gene and MeSH ontology, and predicting survival prediction in follicular lymphoma using tissue microarrays.

The protocols follow the successful Methods in Molecular Biology™ series format, offering step-by-step instructions, an introduction outlining the principles behind the technique, lists of the necessary equipment and reagents, and tips on troubleshooting and avoiding pitfalls.

Editors and Affiliations

  • Department of Electrical and Computer Engineering, Queen’s University, Kingston, Canada

    Michael J. Korenberg

Bibliographic Information

  • Book Title: Microarray Data Analysis

  • Book Subtitle: Methods and Applications

  • Editors: Michael J. Korenberg

  • Series Title: Methods in Molecular Biology

  • DOI: https://doi.org/10.1007/978-1-59745-390-5

  • Publisher: Humana Totowa, NJ

  • eBook Packages: Springer Protocols

  • Copyright Information: Humana Press 2007

  • Hardcover ISBN: 978-1-58829-540-8Published: 03 May 2007

  • Softcover ISBN: 978-1-62703-909-3Published: 31 October 2014

  • eBook ISBN: 978-1-59745-390-5Published: 03 February 2008

  • Series ISSN: 1064-3745

  • Series E-ISSN: 1940-6029

  • Edition Number: 1

  • Number of Pages: XIII, 273

  • Topics: Biochemistry, general, Human Genetics, Bioinformatics

Buy it now

Buying options

eBook USD 84.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 109.00
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book USD 109.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access