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Integration of probabilistic regulatory networks into constraint-based models of metabolism with applications to Alzheimer’s disease
BACKGROUND: Mathematical models of biological networks can provide important predictions and insights into complex disease. Constraint-based models of cellular metabolism and probabilistic models of gene regulatory networks are two distinct areas that have progressed rapidly in parallel over the pas...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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BioMed Central
2019
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6617954/ https://www.ncbi.nlm.nih.gov/pubmed/31291905 http://dx.doi.org/10.1186/s12859-019-2872-8 |