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A method for estimating Hill function-based dynamic models of gene regulatory networks
Gene regulatory networks (GRNs) are quite large and complex. To better understand and analyse GRNs, mathematical models are being employed. Different types of models, such as logical, continuous and stochastic models, can be used to describe GRNs. In this paper, we present a new approach to identify...
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| Yayımlandı: | R Soc Open Sci |
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| Asıl Yazarlar: | , |
| Materyal Türü: | Artigo |
| Dil: | Inglês |
| Baskı/Yayın Bilgisi: |
The Royal Society Publishing
2018
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| Konular: | |
| Online Erişim: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5830732/ https://ncbi.nlm.nih.gov/pubmed/29515843 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1098/rsos.171226 |
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