Computational Systems Biology of Cancer [Hardcover]

Introduction: Why Systems Biology of Cancer? Basic Principles of the Molecular Biology of Cancer. Experimental High-Throughput Technologies for Cancer Research. Bioinformatics Tools and Standards for Systems Biology. Exploring the Diversity of Cancers. Prognosis and Prediction: Towards Individualised Treatments. Mathematical Modelling Applied to Cancer Cell Biology. Mathematical Modelling of Cancer Hallmarks. Cancer Robustness: Facts and Hypotheses. Cancer Robustness: Mathematical Foundations. Finding New Cancer Targets. Conclusion. Appendices. Glossary. Bibliography. Index.

The future of cancer research and the development of new therapeutic strategies rely on our ability to convert biological and clinical questions into mathematical modelsintegrating our knowledge of tumour progression mechanisms with the tsunami of information brought by high-throughput technologies such as microarrays and next-generation sequencing. Offering promising insights on how to defeat cancer, the emerging field of systems biology captures the complexity of biological phenomena using mathematical and computational tools.

Novel Approaches to Fighting Cancer
Drawn from the authors decade-long work in the cancer computational systems biology laboratory at Institut Curie (Paris, France), Computational Systems Biology of Cancer explains how to apply computational systems biology approaches to cancer research. The authors provide proven techniques and tools for cancer bioinformatics and systems biology research.

Effectively Use Algorithmic Methods and Bioinformatics Tools in Real Biological Applications
Suitable for readers in both the computational and life sciences, this self-contained guide assumes very limited background in biology, mathematics, and computer science. It explores how computational systems biology can help fight cancer in tlcN