Identification of metabolic network models from incomplete high-throughput datasets

Motivation: High-throughput measurement techniques for metabolism and gene expression provide a wealth of information for the identification of metabolic network models. Yet, missing observations scattered over the dataset restrict the number of effectively available datapoints and make classical re...

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Detalles Bibliográficos
Autores principales: Berthoumieux, Sara, Brilli, Matteo, de Jong, Hidde, Kahn, Daniel, Cinquemani, Eugenio
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2011
Materias:
Ismb/Eccb 2011 Proceedings Papers Committee July 17 to July 19, 2011, Vienna, Austria
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3117355/
https://www.ncbi.nlm.nih.gov/pubmed/21685069
http://dx.doi.org/10.1093/bioinformatics/btr225

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3117355/
https://www.ncbi.nlm.nih.gov/pubmed/21685069
http://dx.doi.org/10.1093/bioinformatics/btr225

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