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Kinetic Theory Modeling and Efficient Numerical Simulation of Gene Regulatory Networks Based on Qualitative Descriptions

机译:基于定性描述的基因调控网络动力学理论建模和高效数值模拟

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In this work, we begin by considering the qualitative modeling of biological regulatory systems using process hitting, from which we define its probabilistic counterpart by considering the chemical master equation within a kinetic theory framework. The last equation is efficiently solved by considering a separated representation within the proper generalized decomposition framework that allows circumventing the so-called curse of dimensionality. Finally, model parameters can be added as extra-coordinates in order to obtain a parametric solution of the model.
机译:在这项工作中,我们首先考虑使用过程碰撞对生物调节系统进行定性建模,然后通过在动力学理论框架内考虑化学主方程式来定义其概率对应物。通过考虑适当的广义分解框架中的分离表示形式可以有效地解决最后一个方程式,从而可以避免所谓的维数诅咒。最后,可以将模型参数添加为额外坐标,以获得模型的参数解。

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