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Cancer Bioinformatics

  • Ying Xu
  • Juan Cui
  • David Puett

Table of contents

  1. Front Matter
    Pages i-xxvi
  2. Ying Xu, Juan Cui, David Puett
    Pages 1-39
  3. Ying Xu, Juan Cui, David Puett
    Pages 41-63
  4. Ying Xu, Juan Cui, David Puett
    Pages 65-87
  5. Ying Xu, Juan Cui, David Puett
    Pages 89-112
  6. Ying Xu, Juan Cui, David Puett
    Pages 113-147
  7. Ying Xu, Juan Cui, David Puett
    Pages 149-177
  8. Ying Xu, Juan Cui, David Puett
    Pages 205-227
  9. Ying Xu, Juan Cui, David Puett
    Pages 253-278
  10. Ying Xu, Juan Cui, David Puett
    Pages 279-304
  11. Ying Xu, Juan Cui, David Puett
    Pages 305-326
  12. Ying Xu, Juan Cui, David Puett
    Pages 327-351
  13. Ying Xu, Juan Cui, David Puett
    Pages 353-362
  14. Back Matter
    Pages 363-368

About this book

Introduction

This book provides a framework for computational researchers studying the basics of cancer through comparative analyses of omic data. It discusses how key cancer pathways can be analyzed and discovered to derive new insights into the disease and identifies diagnostic and prognostic markers for cancer. Chapters explain the basic cancer biology and how cancer develops, including the many potential survival routes. The examination of gene-expression patterns uncovers commonalities across multiple cancers and specific characteristics of individual cancer types. The authors also treat cancer as an evolving complex system, explore future case studies, and summarize the essential online data sources. Cancer Bioinformatics is designed for practitioners and researchers working in cancer research and bioinformatics. It is also suitable as a secondary textbook for advanced-level students studying computer science, biostatistics or biomedicine.

Keywords

Bioinformatics Cancer bioinformatics Cancer biology Cancer genomes Cancer marker identification Cancer omic data analysis Cancer pathway analysis Cancer systems biology Comparative omic analysis Computational biology Omic databases

Authors and affiliations

  • Ying Xu
    • 1
  • Juan Cui
    • 2
  • David Puett
    • 3
  1. 1.Department of Biochemistry and Molecular BiologyUniversity of GeorgiaAthensUSA
  2. 2.Department of Computer Science and EngineeringUniversity of NebraskaLincolnUSA
  3. 3.Department of Biochemistry and Molecular BiologyUniversity of GeorgiaAthensUSA

Bibliographic information

  • DOI https://doi.org/10.1007/978-1-4939-1381-7
  • Copyright Information Springer Science+Business Media New York 2014
  • Publisher Name Springer, New York, NY
  • eBook Packages Computer Science
  • Print ISBN 978-1-4939-1380-0
  • Online ISBN 978-1-4939-1381-7
  • Buy this book on publisher's site