非线性遗传网络模型中内在和外在噪声的估计。
Estimations of intrinsic and extrinsic noise in models of nonlinear genetic networks.
作者信息
Scott Matthew, Ingalls Brian, Kaern Mads
机构信息
Center for Theoretical Biological Physics, Department of Physics, University of California, San Diego, La Jolla, California, 92093-0374, USA.
出版信息
Chaos. 2006 Jun;16(2):026107. doi: 10.1063/1.2211787.
We discuss two methods that can be used to estimate the impact of internal and external variability on nonlinear systems, and demonstrate their utility by comparing two experimentally implemented oscillatory genetic networks with different designs. The methods allow for rapid estimations of intrinsic and extrinsic noise and should prove useful in the analysis of natural genetic networks and when constructing synthetic gene regulatory systems.
我们讨论了两种可用于估计内部和外部变异性对非线性系统影响的方法，并通过比较两个具有不同设计的实验实现的振荡遗传网络来证明它们的实用性。这些方法能够快速估计内在和外在噪声，并且在分析自然遗传网络以及构建合成基因调控系统时应会很有用。
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