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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

Appendices