eBook - PDF
Computational Systems Biology of Cancer
- 461 pages
- English
- PDF
- Available on iOS & Android
eBook - PDF
Computational Systems Biology of Cancer
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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Information
Table of contents
- Front Cover
- Contents
- List of Figures
- List of Tables
- List of Acronyms
- Preface
- Acknowledgements
- 1. Introduction: Why systems biology of cancer?
- 2. Basic principles of the molecular biology of cancer
- 3. Experimental high-throughput technologies for cancer research
- 4. Bioinformatics tools and standards for systems biology
- 5. Exploring the diversity of cancers
- 6. Prognosis and prediction: Towards individualised treatments
- 7. Mathematical modelling applied to cancer cell biology
- 8. Mathematical modelling of cancer hallmarks
- 9. Cancer robustness: Facts and hypotheses
- 10. Cancer robustness: Mathematical foundations
- 11. Finding new cancer targets
- 12. Conclusion
- Appendices
- Glossary
- Bibliography
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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.