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Springer Optimization and Its Applications

Data Mining for Biomarker Discovery

Editors: Pardalos, Panos, Xanthopoulos, Petros, Zervakis, Michalis (Eds.)

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  • Presents the most challenging problems in biomarker discovery together with the most prominent methodological approaches for developing their effective solution
  • Offers the collaborative perspectives of distinguished researchers in the fields of biomedicine, biochemistry, data mining and machine learning
  • Introduces new spectral clustering, and hierarchical clustering algorithms specifically crafted for use in a large bioinformatics database
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About this book

Biomarker discovery is an important area of biomedical research that may lead to significant breakthroughs in disease analysis and targeted therapy. Biomarkers are biological entities whose alterations are measurable and are characteristic of a particular biological condition. Discovering, managing, and interpreting knowledge of new biomarkers are challenging and attractive problems in the emerging field of biomedical informatics.

This volume is a collection of state-of-the-art research into the application of data mining to the discovery and analysis of new biomarkers. Presenting new results, models and algorithms, the included contributions focus on biomarker data integration, information retrieval methods, and statistical machine learning techniques.

This volume is intended for students, and researchers in bioinformatics, proteomics, and genomics, as well engineers and applied scientists interested in the interdisciplinary application of data mining techniques.

Table of contents (13 chapters)

Table of contents (13 chapters)
  • Data Mining Strategies Applied in Brain Injury Models

    Pages 1-13

    Mondello, Stefania (et al.)

  • Application of Decomposition Methods in the Filtering of Event-Related Potentials

    Pages 15-29

    Michalopoulos, Kostas (et al.)

  • EEG Features as Biomarkers for Discrimination of Preictal States

    Pages 31-56

    Tsimpiris, Alkiviadis (et al.)

  • Using Relative Power Asymmetry as a Biomarker for Classifying Psychogenic Nonepileptic Seizure and Complex Partial Seizure Patients

    Pages 57-77

    Chien, Jui-Hong (et al.)

  • Classification of Tree and Network Topology Structures in Medical Images

    Pages 79-90

    Skoura, Angeliki (et al.)

Buy this book

eBook $109.00
price for USA in USD
  • ISBN 978-1-4614-2107-8
  • Digitally watermarked, DRM-free
  • Included format: PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $149.99
price for USA in USD
  • ISBN 978-1-4614-2106-1
  • Free shipping for individuals worldwide
  • Immediate ebook access, if available*, with your print order
  • Usually ready to be dispatched within 3 to 5 business days.
Softcover $149.99
price for USA in USD
  • ISBN 978-1-4899-9643-5
  • Free shipping for individuals worldwide
  • Immediate ebook access, if available*, with your print order
  • Usually ready to be dispatched within 3 to 5 business days.
Rent the eBook  
  • Rental duration: 1 or 6 month
  • low-cost access
  • online reader with highlighting and note-making option
  • can be used across all devices
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Bibliographic Information

Bibliographic Information
Book Title
Data Mining for Biomarker Discovery
Editors
  • Panos Pardalos
  • Petros Xanthopoulos
  • Michalis Zervakis
Series Title
Springer Optimization and Its Applications
Series Volume
65
Copyright
2012
Publisher
Springer-Verlag New York
Copyright Holder
Springer Science+Business Media, LLC
eBook ISBN
978-1-4614-2107-8
DOI
10.1007/978-1-4614-2107-8
Hardcover ISBN
978-1-4614-2106-1
Softcover ISBN
978-1-4899-9643-5
Series ISSN
1931-6828
Edition Number
1
Number of Pages
XIV, 246
Topics

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