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Stepwise inference of likely dynamic flux distributions from metabolic time series data
MOTIVATION: Most metabolic pathways contain more reactions than metabolites and therefore have a wide stoichiometric matrix that corresponds to infinitely many possible flux distributions that are perfectly compatible with the dynamics of the metabolites in a given dataset. This under-determinedness...
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| Pubblicato in: | Bioinformatics |
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| Autori principali: | , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
Oxford University Press
2017
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| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5860468/ https://ncbi.nlm.nih.gov/pubmed/28334199 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/bioinformatics/btx126 |
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