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Inferring a nonlinear biochemical network model from a heterogeneous single-cell time course data
Mathematical modeling and analysis of biochemical reaction networks are key routines in computational systems biology and biophysics; however, it remains difficult to choose the most valid model. Here, we propose a computational framework for data-driven and systematic inference of a nonlinear bioch...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Nature Publishing Group UK
2018
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5931614/ https://www.ncbi.nlm.nih.gov/pubmed/29717206 http://dx.doi.org/10.1038/s41598-018-25064-w |