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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...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Springer
2011
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3171177/ https://www.ncbi.nlm.nih.gov/pubmed/21910920 http://dx.doi.org/10.1186/1687-4153-2011-1 |