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Cancer Informatics in the Post Genomic Era

Toward Information-Based Medicine

  • Igor Jurisica
  • Dennis A. Wigle
  • Bill Wong

Part of the Cancer Treatment and Research book series (CTAR, volume 137)

Table of contents

  1. Front Matter
    Pages i-xx
  2. Part I

    1. Dennis A. Wigle, Igor Jurisica
      Pages 1-13
  3. Part II

    1. Ming Tsao
      Pages 15-23
    2. Dennis A. Wigle, Jiang Liu, Michael Johnston
      Pages 25-43
    3. Dennis A. Wigle, Igor Jurisica
      Pages 45-58
    4. Thomas Kislinger
      Pages 59-83
  4. Part III

    1. Bill Wong, Igor Jurisica
      Pages 85-86
    2. Bill Wong
      Pages 87-128
    3. Igor Jurisica
      Pages 129-145
  5. Part IV

    1. Igor Jurisica, Dennis A. Wigle
      Pages 147-149
  6. Back Matter
    Pages 151-180

About this book

Introduction

Medical information science requires analytic tools. This is achieved by developing and assessing methods and systems for the acquisition, processing, and interpretation of patient data, aided by scientific discovery. Cancer Informatics in Post-Genomic Era provides both the necessary methodology and practical information tools.

Key challenges include integrating research and clinical care, sharing data, and establishing partnerships within and across sectors of patient diagnosis and treatment.

Addressing important clinical questions in cancer research will benefit from expanding computational biology.

The advent of genomic and proteomic technologies has ushered forth the era of genuine medicine. The promise of these advances is true "personalized medicine" where treatment strategies can be individually tailored and advance to initiating intervention before visible symptoms appear.

 

Series editor comments:

"Cancer informatics has become a critical component of modern investigations. A combination of system's biology and the magnitude of data sets associated with cancer research require sophisticated technologies to manage the broad spectrum of collective knowledge. This text provides a comprehensive review of the field presented by leaders in the discipline."

Steven T. Rosen, M.D.

Series Editor

Keywords

cancerresearch computationalbiology diagnosis gene expression genemapping genes genomics informatics information-basedmedicine systemsbiology

Editors and affiliations

  • Igor Jurisica
    • 1
  • Dennis A. Wigle
    • 2
  • Bill Wong
    • 3
  1. 1.Division of Signaling BiologyOntario Cancer Institute, PMH/UHN Toronto Medical Discovery TowerTorontoCanada
  2. 2.Division of Thoracic SurgeryMayo Clinic Cancer CenterRochesterUSA
  3. 3.Database Competitive TechnologiesIBM Toronto LaboratoryMarkhamCanada

Bibliographic information

  • DOI https://doi.org/10.1007/978-0-387-69321-7
  • Copyright Information Springer-Verlag US 2007
  • Publisher Name Springer, Boston, MA
  • eBook Packages Medicine
  • Print ISBN 978-0-387-69320-0
  • Online ISBN 978-0-387-69321-7
  • Series Print ISSN 0927-3042
  • Buy this book on publisher's site