不过也可以大致说明他关于肿瘤发生的数理解释的思想了。
《Cancer as robust intrinsic state of endogenous molecular-cellular network shaped by evolution》
Summary
An endogenous molecular--cellular network for both normal and abnormal functions is assumed to exist. This endogenous network forms a nonlinear stochastic dynamical system, with many stable attractors in its functional landscape. Normal or abnormal robust states can be decided by this network in a manner similar to the neural network. In this context cancer is hypothesized as one of its robust intrinsic states.
This hypothesis implies that a nonlinear stochastic mathematical cancer model is constructible based on available experimental data and its quantitative prediction is directly testable. Within such model the genesis and progression of cancer may be viewed as stochastic transitions between different attractors. Thus it further suggests that progressions are not arbitrary. Other important issues on cancer, such as genetic vs epigenetics, double-edge effect, dormancy, are discussed in the light of present hypothesis. A different set of strategies for cancer prevention, cure, and care, is therefore suggested.
恩啊。用非线性的吸引子什么的理论模型的性质来解释这个问题的。
而这个理论模型的或许来源于之前的:开创了随即动力学方程组的特解方法,并利用这一方法的优势,第一次将Darwin-Wallace 进化动力学融入了具备一致性和简明性特点的数学框架中,并以此澄清了R.A. Fisher的自然选择基本理论与S. Wright’s的适应性理论之间的悖论。
相关的进化动力学
再找找哈。先到这里