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A machine learning approach to predict metabolic pathway dynamics from time-series multiomics data
New synthetic biology capabilities hold the promise of dramatically improving our ability to engineer biological systems. However, a fundamental hurdle in realizing this potential is our inability to accurately predict biological behavior after modifying the corresponding genotype. Kinetic models ha...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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Nature Publishing Group UK
2018
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5974308/ https://www.ncbi.nlm.nih.gov/pubmed/29872542 http://dx.doi.org/10.1038/s41540-018-0054-3 |