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Unveiling the hidden structure of complex stochastic biochemical networks
Complex Markov models are widely used and powerful predictive tools to analyze stochastic biochemical processes. However, when the network of states is unknown, it is necessary to extract information from the data to partially build the network and estimate the values of the rates. The short-time be...
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| Hlavní autoři: | , , |
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| Médium: | Artigo |
| Jazyk: | Inglês |
| Vydáno: |
American Institute of Physics
2014
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| Témata: | |
| On-line přístup: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4108629/ https://ncbi.nlm.nih.gov/pubmed/24527894 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1063/1.4863997 |
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