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Bayesian inference of metabolic kinetics from genome-scale multiomics data
Modern biological tools generate a wealth of data on metabolite and protein concentrations that can be used to help inform new strain designs. However, learning from these data to predict how a cell will respond to genetic changes, a key need for engineering, remains challenging. A promising techniq...
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| Publicado no: | PLoS Comput Biol |
|---|---|
| Main Authors: | , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Public Library of Science
2019
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6855570/ https://ncbi.nlm.nih.gov/pubmed/31682600 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pcbi.1007424 |
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