Computational Systems Biology of Cancer
eBook - PDF

Computational Systems Biology of Cancer

  1. 461 pages
  2. English
  3. PDF
  4. Available on iOS & Android
eBook - PDF

About this book

The future of cancer research and the development of new therapeutic strategies rely on our ability to convert biological and clinical questions into mathematical models-integrating our knowledge of tumour progression mechanisms with the tsunami of information brought by high-throughput technologies such as microarrays and next-generation sequencin

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Yes, you can access Computational Systems Biology of Cancer by Emmanuel Barillot, Laurence Calzone, Philippe Hupe, Jean-Philippe Vert, Andrei Zinovyev in PDF and/or ePUB format, as well as other popular books in Computer Science & Programming Games. We have over one million books available in our catalogue for you to explore.

Information

Table of contents

  1. Front Cover
  2. Contents
  3. List of Figures
  4. List of Tables
  5. List of Acronyms
  6. Preface
  7. Acknowledgements
  8. 1. Introduction: Why systems biology of cancer?
  9. 2. Basic principles of the molecular biology of cancer
  10. 3. Experimental high-throughput technologies for cancer research
  11. 4. Bioinformatics tools and standards for systems biology
  12. 5. Exploring the diversity of cancers
  13. 6. Prognosis and prediction: Towards individualised treatments
  14. 7. Mathematical modelling applied to cancer cell biology
  15. 8. Mathematical modelling of cancer hallmarks
  16. 9. Cancer robustness: Facts and hypotheses
  17. 10. Cancer robustness: Mathematical foundations
  18. 11. Finding new cancer targets
  19. 12. Conclusion
  20. Appendices
  21. Glossary
  22. Bibliography