Systems Biology of Cancer
eBook - PDF

Systems Biology of Cancer

  1. English
  2. PDF
  3. Available on iOS & Android
eBook - PDF

Systems Biology of Cancer

Book details
Table of contents
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About This Book

With over two hundred types of cancer diagnosed to date, researchers the world over have been forced to rapidly update their understanding of the biology of cancer. In fact, only the study of the basic cellular processes, and how these are altered in cancer cells, can ultimately provide a background for rational therapies. Bringing together the state-of-the-art contributions of international experts, Systems Biology of Cancer proposes an ultimate research goal for the whole scientific community: exploiting systems biology to generate in-depth knowledge based on blueprints that are unique to each type of cancer. Readers are provided with a realistic view of what is known and what is yet to be uncovered on the aberrations in the fundamental biological processes, deregulation of major signaling networks, alterations in major cancers and the strategies for using the scientific knowledge for effective diagnosis, prognosis and drug discovery to improve public health.

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Yes, you can access Systems Biology of Cancer by Sam Thiagalingam in PDF and/or ePUB format, as well as other popular books in Biological Sciences & Genetics & Genomics. We have over one million books available in our catalogue for you to explore.

Information

Publisher
Cambridge University Press
Year
2015
ISBN
9781316235744
Topic
Biological Sciences
Subtopic
Genetics & Genomics
Index
Biological Sciences

Table of contents

  1. Cover
  2. Half-title
  3. Title page
  4. Copyright information
  5. Dedication
  6. Table of contents
  7. List of contributors
  8. Preface
  9. Part 1 Introduction to modular organization of the networks of gene functions and cancer
  10. Part 2 Alterations in the regulatory networks of cellular and molecular events
  11. Part 3 Events responsible for aberrant genetic and epigenetic codes in cancer
  12. Part 4 Functional networks of events that modulate phenotypic manifestation of cancer
  13. Part 5 Current state of the evolving MMMN cancer progression models of cancer
  14. Part 6 Applications of comprehensive cancer progression models in the fight against cancer
  15. Index