Integration of probabilistic regulatory networks into constraint-based models of metabolism with applications to Alzheimer's disease.

Abstract excerpt

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 past decade. In principle, gene regulatory networks and metabolic networks underly the same complex phenotypes and...

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