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Disease evolution in reaction networks: Implications for a diagnostic problem
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 develo...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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Public Library of Science
2020
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7272006/ https://www.ncbi.nlm.nih.gov/pubmed/32497038 http://dx.doi.org/10.1371/journal.pcbi.1007889 |