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Network-level analysis of metabolic regulation in the human red blood cell using random sampling and singular value decomposition
BACKGROUND: Extreme pathways (ExPas) have been shown to be valuable for studying the functions and capabilities of metabolic networks through characterization of the null space of the stoichiometric matrix (S). Singular value decomposition (SVD) of the ExPa matrix P has previously been used to chara...
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| Autori principali: | , , |
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| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
BioMed Central
2006
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| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC1421444/ https://ncbi.nlm.nih.gov/pubmed/16533395 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/1471-2105-7-132 |
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