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Updated: May 12, 2025

Inherent Dynamics Visualizer, an Interactive Application for Evaluating and Visualizing Outputs from a Gene Regulatory Network Inference Pipeline
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通过分析和计算的双重方法来探索激活器-抑制器系统中的时空动态

Vincent Nandwa Chiteri1, Victor Ogesa Juma2, James Mariita Okwoyo1

  • 1Department of Mathematics, University of Nairobi, Nairobi, 00100, Kenya.

Mathematical biosciences
|May 2, 2025
PubMed
概括

这项研究使用反应-扩散系统来模拟细胞收缩性,揭示了稳定,振荡和可变动力学. 它包含Myo9b用于RhoA调节,增强对细胞信号和模式形成的理解.

关键词:
激活器抑制器系统的激活器抑制器.由扩散驱动的不稳定性有限差分方法的方法.在 GEF-Rho-Myosin 信号网络中.线性稳定性分析在局部不对称地稳定.大规模保护大规模保护.模式隔离模式的隔离方式模式形成的形成模式.反应扩散系统的反应.灵敏度分析是一种灵敏度分析.

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The frequency-domain technique, commonly used in analyzing and designing feedback control systems, is effective for linear, time-invariant systems. However, it falls short when dealing with nonlinear, time-varying, and multiple-input multiple-output systems. The time-domain or state-space approach addresses these limitations by utilizing state variables to construct simultaneous, first-order differential equations, known as state equations, for an nth-order system.
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Linear time-invariant Systems

A system is linear if it displays the characteristics of homogeneity and additivity, together termed the superposition property. This principle is fundamental in all linear systems. Linear time-invariant (LTI) systems include systems with linear elements and constant parameters.
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