- Location
-
Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
-
1752-0509
- Extent
-
Online-Ressource
- Language
-
Englisch
- Notes
-
online resource.
- Bibliographic citation
-
Improving metabolic flux predictions using absolute gene expression data ; volume:6 ; number:1 ; day:19 ; month:6 ; year:2012 ; pages:1-9 ; date:12.2012
BMC systems biology ; 6, Heft 1 (19.6.2012), 1-9, 12.2012
- Creator
-
Lee, Dave
- Contributor
-
Smallbone, Kieran
Dunn, Warwick B.
Murabito, Ettore
Winder, Catherine L.
Kell, Douglas B.
Mendes, Pedro
Swainston, Neil
SpringerLink (Online service)
- DOI
-
10.1186/1752-0509-6-73
- URN
-
urn:nbn:de:1111-2016072961315
- Rights
-
Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
-
14.08.2025, 11:00 AM CEST
Data provider
This object is provided by:
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Associated
- Lee, Dave
- Smallbone, Kieran
- Dunn, Warwick B.
- Murabito, Ettore
- Winder, Catherine L.
- Kell, Douglas B.
- Mendes, Pedro
- Swainston, Neil
- SpringerLink (Online service)
Other Objects (12)
A network characterization of metabolix flux predictions, medium-dependant essentiality and metabolic inconsistency
Flux-P: Automating Metabolic Flux Analysis
Flux-P : automating metabolic flux analysis
LC–MS-based absolute metabolite quantification: application to metabolic flux measurement in trypanosomes
Improving predictions of tree structured algorithms
Improving Network Delay Predictions Using GNNs
Flux cones of metabolic networks
Generalized metabolic flux analysis framework provides mechanism-based predictions of ophthalmic complications in type 2 diabetes patients
Improving the phenotype predictions of a yeast genome‐scale metabolic model by incorporating enzymatic constraints
Improving accuracy in predictions about future performance
Flux-dependent graphs for metabolic networks
OpenFLUX: efficient modelling software for 13C-based metabolic flux analysis
A network characterization of metabolix flux predictions, medium-dependant essentiality and metabolic inconsistency
Flux-P: Automating Metabolic Flux Analysis
Flux-P : automating metabolic flux analysis
LC–MS-based absolute metabolite quantification: application to metabolic flux measurement in trypanosomes
Improving predictions of tree structured algorithms
Improving Network Delay Predictions Using GNNs
Flux cones of metabolic networks
Generalized metabolic flux analysis framework provides mechanism-based predictions of ophthalmic complications in type 2 diabetes patients
Improving the phenotype predictions of a yeast genome‐scale metabolic model by incorporating enzymatic constraints
Improving accuracy in predictions about future performance
Flux-dependent graphs for metabolic networks
OpenFLUX: efficient modelling software for 13C-based metabolic flux analysis
A network characterization of metabolix flux predictions, medium-dependant essentiality and metabolic inconsistency
Flux-P: Automating Metabolic Flux Analysis
Flux-P : automating metabolic flux analysis
LC–MS-based absolute metabolite quantification: application to metabolic flux measurement in trypanosomes
Improving predictions of tree structured algorithms
Improving Network Delay Predictions Using GNNs
Flux cones of metabolic networks
Generalized metabolic flux analysis framework provides mechanism-based predictions of ophthalmic complications in type 2 diabetes patients
Improving the phenotype predictions of a yeast genome‐scale metabolic model by incorporating enzymatic constraints
Improving accuracy in predictions about future performance
Flux-dependent graphs for metabolic networks