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Systematic comparison of modeling fidelity levels and parameter inference settings applied to negative feedback gene regulation
Quantitative stochastic models of gene regulatory networks are important tools for studying cellular regulation. Such models can be formulated at many different levels of fidelity. A practical challenge is to determine what model fidelity to use in order to get accurate and representative results. T...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Public Library of Science
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9799300/ https://www.ncbi.nlm.nih.gov/pubmed/36520957 http://dx.doi.org/10.1371/journal.pcbi.1010683 |