Cancer Bioinformatics

Authors: Xu, Ying, Cui, Juan, Puett, David

  • Focuses on the understanding of cancer biology from an informatics perspective
  • Provides a unified conceptual framework for studying a variety of cancer related problems by considering cancer a process of cell survival through cell proliferation
  • Teaches hypothesis-driven omic data mining and statistical inference of mechanistic relationships important to cancer initiation, progression, metastasis and post-metastasis development
  • Gives a large collection of examples related to different aspects of cancer study using omic data analyses to answer a wide range of questions
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eBook $99.00
price for USA (gross)
  • ISBN 978-1-4939-1381-7
  • Digitally watermarked, DRM-free
  • Included format: PDF, EPUB
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $129.00
price for USA
  • ISBN 978-1-4939-1380-0
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Softcover $129.00
price for USA
  • ISBN 978-1-4939-4303-6
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
About this book

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.

Table of contents (14 chapters)

  • Basic Cancer Biology

    Xu, Ying (et al.)

    Pages 1-39

  • Omic Data, Information Derivable and Computational Needs

    Xu, Ying (et al.)

    Pages 41-63

  • Cancer Classification and Molecular Signature Identification

    Xu, Ying (et al.)

    Pages 65-87

  • Understanding Cancer at the Genomic Level

    Xu, Ying (et al.)

    Pages 89-112

  • Elucidation of Cancer Drivers Through Comparative Omic Data Analyses

    Xu, Ying (et al.)

    Pages 113-147

Buy this book

eBook $99.00
price for USA (gross)
  • ISBN 978-1-4939-1381-7
  • Digitally watermarked, DRM-free
  • Included format: PDF, EPUB
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $129.00
price for USA
  • ISBN 978-1-4939-1380-0
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Softcover $129.00
price for USA
  • ISBN 978-1-4939-4303-6
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
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Bibliographic Information

Bibliographic Information
Book Title
Cancer Bioinformatics
Authors
Copyright
2014
Publisher
Springer-Verlag New York
Copyright Holder
Springer Science+Business Media New York
eBook ISBN
978-1-4939-1381-7
DOI
10.1007/978-1-4939-1381-7
Hardcover ISBN
978-1-4939-1380-0
Softcover ISBN
978-1-4939-4303-6
Edition Number
1
Number of Pages
XXVI, 368
Number of Illustrations and Tables
68 b/w illustrations
Topics