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.
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2018-08-01
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| Series: | Nature Communications |
| Online Access: | https://doi.org/10.1038/s41467-018-05822-0 |