Linear mapping approximation of gene regulatory networks with stochastic dynamics

The intractability of most stochastic models of gene regulatory networks (GRNs) limits their utility. Here, the authors present a linear-mapping approximation mapping models onto simpler ones, giving approximate but accurate analytic or semi- analytic solutions for a wide range of model GRNs.

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Bibliographic Details
Main Authors: Zhixing Cao, Ramon Grima
Format: article
Language:EN
Published: Nature Portfolio 2018
Subjects:
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Online Access:https://doaj.org/article/959a6486a2594874837b30b8d6153b6a
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