Estimation of time-varying growth, uptake and excretion rates from dynamic metabolomics data

MOTIVATION: Technological advances in metabolomics have made it possible to monitor the concentration of extracellular metabolites over time. From these data, it is possible to compute the rates of uptake and excretion of the metabolites by a growing cell population, providing precious information o...

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Detalles Bibliográficos
Autores principales: Cinquemani, Eugenio, Laroute, Valérie, Cocaign-Bousquet, Muriel, de Jong, Hidde, Ropers, Delphine
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2017
Materias:
Ismb/Eccb 2017: The 25th Annual Conference Intelligent Systems for Molecular Biology Held Jointly with the 16th Annual European Conference on Computational Biology, Prague, Czech Republic, July 21–25, 2017
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5870603/
https://www.ncbi.nlm.nih.gov/pubmed/28881984
http://dx.doi.org/10.1093/bioinformatics/btx250

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5870603/
https://www.ncbi.nlm.nih.gov/pubmed/28881984
http://dx.doi.org/10.1093/bioinformatics/btx250

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