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Data Mining for Biomarker Discovery (Springer Optimization and Its Applications, 65)

Data Mining for Biomarker Discovery (Springer Optimization and Its Applications, 65)

Data Mining for Biomarker Discovery (Springer Optimization and Its Applications,
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Data Mining for Biomarker Discovery (Springer Optimization and Its Applications, 65) Hardback - 2012 - 2012th Edition

by Pardalos, Panos M

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Springer, 2012-02-10. 2012. hardcover. New. 6.20x0.90x9.20. Buy with confidence. Excellent Customer Service & Return policy.
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Details

  • Title Data Mining for Biomarker Discovery (Springer Optimization and Its Applications, 65)
  • Author Pardalos, Panos M
  • Binding Hardback
  • Edition number 2012th
  • Edition 2012
  • Condition New
  • Pages 246
  • Volumes 1
  • Language ENG
  • Publisher Springer
  • Publication date 2012-02-10
  • Illustrated Yes
  • Features Illustrated
  • Bookseller's Inventory # DADAX1461421063
  • ISBN 9781461421061 / 1461421063
  • Weight 1.1 lbs (0.50 kg)
  • Dimensions 9.2 x 6.2 x 0.9 in (23.37 x 15.75 x 2.29 cm)
  • Size 6.20x0.90x9.20
  • Themes
    • Aspects (Academic): Science/Technology Aspects
  • Category Medical / Nursing
  • Dewey Decimal Code 006.312
  • Quantity available 1

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From the publisher

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.

From the rear cover

Data Mining for Biomarker Discovery is designed to motivate collaboration and discussion among various disciplines and will be of interest to students and researchers in engineering, computer science, applied mathematics, medicine, and anyone interested in the interdisciplinary application of data mining techniques. Biomarker discovery is an important area of biomedical research that can lead to significant breakthroughs in disease analysis and targeted therapy. Moreover, the discovery and management of new biomarkers is a challenging and attractive problem in the emerging field of biomedical informatics.

This volume is a collection of state-of-the-art research from select participants of the "International Conference on Biomedical Data and Knowledge Mining: Towards Biomarker Discovery," held July 7-9, 2010 in Chania, Greece. Contributions focus on biomarker data integration, information retrieval methods, and statistical machine learning techniques, all presented with new results, models, and algorithms.

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