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  • © 2010

Computational Biology

Issues and Applications in Oncology

Editors:

  • Will cover the entire spectrum of techniques in computational biology and their applications in the field of oncology, including microarrays, gels, mass spectra, SNPs and haplotypes, and even a brief discussion of the applications of systems biology

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Table of contents (12 chapters)

  1. Front Matter

    Pages i-viii
  2. Statistical Analysis on Microarray Data: Selection of Gene Prognosis Signatures

    • Kim-Anh Lê Cao, Geoffrey J. McLachlan
    Pages 55-76
  3. Agent-Based Modeling of Ductal Carcinoma In Situ: Application to Patient-Specific Breast Cancer Modeling

    • Paul Macklin, Jahun Kim, Giovanna Tomaiuolo, Mary E. Edgerton, Vittorio Cristini
    Pages 77-111
  4. Analysis of Cancer Data Using Evolutionary Computation

    • Cuong C. To, Tuan Pham
    Pages 125-147
  5. Analysis of Population-Based Genetic Association Studies Applied to Cancer Susceptibility and Prognosis

    • Xavier Solé, Juan Ramón González, Víctor Moreno
    Pages 149-191
  6. Computational Tools and Resources for Systems Biology Approaches in Cancer

    • Andriani Daskalaki, Christoph Wierling, Ralf Herwig
    Pages 227-242
  7. Laser Speckle Imaging for Blood Flow Analysis

    • Thinh M. Le, J. S. Paul, S. H. Ong
    Pages 243-271
  8. The Challenges in Blood Proteomic Biomarker Discovery

    • Guangxu Jin, Xiaobo Zhou, Honghui Wang, Stephen T. C. Wong
    Pages 273-299
  9. Back Matter

    Pages 301-309

About this book

Computational Biology: Issues and Applications in Oncology provides a comprehensive report on recent techniques and results in computational oncology essential to the knowledge of scientists, engineers, as well as postgraduate students working on the areas of computational biology, bioinformatics, and medical informatics.

With chapters timely prepared and written by experts in the field, this in-depth and up-to-date volume covers advanced statistical methods, heuristic algorithms, cluster analysis, data modeling, image and pattern analysis applied to cancer research. The literature and coverage of a spectrum of key topics in issues and applications in oncology make this a useful resource to computational life-science researchers wishing to enhance the most recent knowledge to facilitate their own investigations.

Editors and Affiliations

  • Discipline of Information Technology, James Cook University, Townsville, Australia

    Tuan Pham

Bibliographic Information

Buy it now

Buying options

eBook USD 179.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 229.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book USD 249.99
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