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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Detalles Bibliográficos
Autores principales: Yu, Han, Blair, Rachael Hageman
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2019
Materias:
Research Article
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

Internet

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

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