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Data Mining for Biomarker Discovery

  • Panos M. Pardalos
  • Petros Xanthopoulos
  • Michalis Zervakis

Part of the Springer Optimization and Its Applications book series (SOIA, volume 65)

Table of contents

  1. Front Matter
    Pages i-xiv
  2. Stefania Mondello, Firas Kobeissy, Isaac Fingers, Zhiqun Zhang, Ronald L. Hayes, Kevin K. W. Wang
    Pages 1-13
  3. Kostas Michalopoulos, Vasiliki Iordanidou, Michalis Zervakis
    Pages 15-29
  4. Alkiviadis Tsimpiris, Dimitris Kugiumtzis
    Pages 31-56
  5. Jui-Hong Chien, Deng-Shan Shiau, J. Chris Sackellares, Jonathan J. Halford, Kevin M. Kelly, Panos M. Pardalos
    Pages 57-77
  6. Angeliki Skoura, Vasileios Megalooikonomou, Athanasios Diamantopoulos, George C. Kagadis, Dimitrios Karnabatidis
    Pages 79-90
  7. Kostas Marias, Vangelis Sakkalis, Norbert Graf
    Pages 91-116
  8. Evaggelia Tsolaki, Evanthia Kousi, Eftychia Kapsalaki, Ioannis Dimou, Kyriaki Theodorou, Georgios C. Manikis et al.
    Pages 117-142
  9. Michael B. Fenn, Vijay Pappu
    Pages 143-168
  10. Gregorio Patrizi, Vincenzo Pietropaolo, Antonella Carbone, Renato De Leone, Laura Di Giacomo, Valentina Losacco et al.
    Pages 169-185
  11. Vera Tomaino, Ashwin Arulselvan, Pierangelo Veltri, Panos M. Pardalos
    Pages 187-197
  12. Konstantinos P. Exarchos, George Rigas, Yorgos Goletsis, Dimitrios I. Fotiadis
    Pages 199-212
  13. Panagis Drakatos, Dimosthenis Lykouras, Fotis Sampsonas, Kiriakos Karkoulias, Kostas Spiropoulos
    Pages 213-226
  14. J. Pérez, F. Henriques, R. Santaolaya, O. Fragoso, A. Mexicano
    Pages 227-246

About this book

Introduction

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.

Keywords

Bioinformatics Biomarker Discovery Biomedical Engineering Biomedical Informatics Biomedical Research Data Mining Geneomics Proteomics

Editors and affiliations

  • Panos M. Pardalos
    • 1
  • Petros Xanthopoulos
    • 2
  • Michalis Zervakis
    • 3
  1. 1., Department of Industrial & Systems EnginUniversity of FloridaGainesvilleUSA
  2. 2., Department of Industrial & Systems EnginUniversity of FloridaGainesvilleUSA
  3. 3.Dept. Electronic & Computer, EngineeringTechnical University of CreteChania, CreteGreece

Bibliographic information

  • DOI https://doi.org/10.1007/978-1-4614-2107-8
  • Copyright Information Springer Science+Business Media, LLC 2012
  • Publisher Name Springer, Boston, MA
  • eBook Packages Mathematics and Statistics
  • Print ISBN 978-1-4614-2106-1
  • Online ISBN 978-1-4614-2107-8
  • Series Print ISSN 1931-6828
  • Buy this book on publisher's site