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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...
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| Publicat a: | BMC Bioinformatics |
|---|---|
| Autors principals: | , |
| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
BioMed Central
2019
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| Matèries: | |
| Accés en línia: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6617954/ https://ncbi.nlm.nih.gov/pubmed/31291905 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12859-019-2872-8 |
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