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Probabilistic polynomial dynamical systems for reverse engineering of gene regulatory networks
Elucidating the structure and/or dynamics of gene regulatory networks from experimental data is a major goal of systems biology. Stochastic models have the potential to absorb noise, account for un-certainty, and help avoid data overfitting. Within the frame work of probabilistic polynomial dynamica...
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| Asıl Yazarlar: | , , |
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| Materyal Türü: | Artigo |
| Dil: | Inglês |
| Baskı/Yayın Bilgisi: |
BioMed Central
2011
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| Konular: | |
| Online Erişim: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3171177/ https://ncbi.nlm.nih.gov/pubmed/21910920 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/1687-4153-2011-1 |
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