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Model selection in the reconstruction of regulatory networks from time-series data
BACKGROUND: A widely used approach to reconstruct regulatory networks from time-series data is based on the first-order, linear ordinary differential equations. This approach is justified if it is applied to system relaxations after weak perturbations. However, weak perturbations may not be informat...
| Autores principales: | , |
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| Formato: | Texto |
| Lenguaje: | English |
| Publicado: |
BioMed Central
2009
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2688516/ https://www.ncbi.nlm.nih.gov/pubmed/19416509 http://dx.doi.org/10.1186/1756-0500-2-68 |