Disease evolution in reaction networks: Implications for a diagnostic problem.

Abstract excerpt

We study the time evolution of symptoms (signs) with some defects in the dynamics of a reaction network as a (microscopic) model for the progress of disease phenotypes. To this end, we take a large population of reaction networks and follow the stochastic dynamics of the system to see how the development of defects affects the macroscopic states of the signs probability distribution. We start from some plausible...

Topics

• Algorithms
• Biological Evolution
• Computer Simulation
• Disease
• Humans
• Phenotype
• Probability