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Computational Biology

Issues and Applications in Oncology

  • Tuan Pham

Table of contents

  1. Front Matter
    Pages i-viii
  2. Kim-Anh Lê Cao, Geoffrey J. McLachlan
    Pages 55-76
  3. Paul Macklin, Jahun Kim, Giovanna Tomaiuolo, Mary E. Edgerton, Vittorio Cristini
    Pages 77-111
  4. Cuong C. To, Tuan Pham
    Pages 125-147
  5. Andriani Daskalaki, Christoph Wierling, Ralf Herwig
    Pages 227-242
  6. Thinh M. Le, J. S. Paul, S. H. Ong
    Pages 243-271
  7. Guangxu Jin, Xiaobo Zhou, Honghui Wang, Stephen T. C. Wong
    Pages 273-299
  8. Back Matter
    Pages 301-309

About this book

Introduction

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.

Keywords

Radiologieinformationssystem carcinoma classification cluster analysis diagnosis imaging

Editors and affiliations

  • Tuan Pham
    • 1
  1. 1.Discipline of Information TechnologyJames Cook UniversityTownsvilleAustralia

Bibliographic information

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