Towards predictive stochastic dynamical modeling of cancer genesis and progression
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Based on an innovative endogenous network hypothesis on cancer genesis and progression we have been working towards a quantitative cancer theory along the systems biology perspective. Here we give a brief report on our progress and illustrate that combing ideas from evolutionary and molecular biology, mathematics, engineering, and physics, such quantitative approach is feasible.
Key wordscancer stochastic processes systems biology endogenous network functional landscape
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