精品文档---下载后可任意编辑非线性基因调控网络的随机动力学讨论的开题报告【摘要】基因调控网络是由多个基因的表达调节组成的动态系统，它能够反映基因之间相互作用的拓扑结构、信号转导机制和表达调控模式。非线性基因调控网络模型具有更好的表征性能和预测能力，但其动力学行为和规律性仍存在许多未知领域。本文计划在非线性基因调控网络讨论中借助随机动力学的方法，探究网络的稳定性、自我适应性和复杂适应性，探究基因调控网络在分子、细胞和组织层面的多重调控机制。最终，本文将有望从理论角度为基因表达的调控机制和生物多样性的形成提供深刻的认识。【关键词】基因调控网络，非线性动力学，随机系统，稳定性，自我适应性，复杂适应性【Abstract】Gene regulatory network is a dynamic system composed of multiple genes for expression regulation, which can reflect the topological structure, signal transduction mechanism and expression regulation pattern of genes. The nonlinear gene regulatory network model has better characterization and prediction ability, but its dynamical behaviors and regularities still have many unknowns. In this paper, we plan to explore the stability, self- adaptability and complexity adaptability of the network by using stochastic dynamics methods in non-linear gene regulatory network research, and explore the multiple regulatory mechanisms of gene regulatory network at the molecular, cellular and tissue levels. Ultimately, this paper is expected to provide a profound understanding of the regulation mechanism of gene expression and the formation of biological diversity from a theoretical perspective.【Keywords】Gene Regulatory Network, Nonlinear Dynamics, Stochastic Systems, Stability, Self-adaptability, Complexity Adaptability
