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West, J., Bianconi, G., Severini, S. & Teschendorff, A. E. Differential network entropy reveals cancer system hallmarks.
Interactions among components of the cancer system over time and space are often multiscalar and typically nonlinear.
Simple-structure models, which are often obtained on the basis of some simplifying assumptions, can be viewed only as an approximation of the cancer system.
Examining the relationship between extrinsic ligand concentrations, intrinsic molecular profiles and microscopic patterns, the results confirmed that increasing the amount of available growth factor leads to a spatially more aggressive cancer system.
Differential network entropy reveals cancer system hallmarks.
Staging was recorded according to the International Union against Cancer system (UICC 2002).
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Our coursework component includes two courses in cancer systems biology, and one course in medical ethics.
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Invited speakers share insights about state-of-the-art trends and advice on navigating a career in cancer systems biology.
They also provide extremely useful research tools with which to study epigenetic mechanisms in cancer systems.
Focus is on major principles of cancer systems biology research that integrates experimental and computational biology in order to systematically unravel the complexity of cancer.
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