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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Detalles Bibliográficos
Autores principales: Dimitrova, Elena S, Mitra, Indranil, Jarrah, Abdul Salam
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer 2011
Materias:
Research
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

Internet

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

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