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Some preliminary characterization data have been presented.
All the main experimental and characterization data have been presented in the form of tables and figures.
Obtained characterization data have led to identify key growth parameters of this novel approach, and to propose growth mechanism models that best describe our observations.
The results indicate that integrative analyses of genome characterization data have the potential to identify groups of genes that have related roles in producing cancer phenotypes.
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This characterization assumes that data have some sort of representational content; they represent an object as instantiating some property or properties; (see Van Fraassen 2008, Ch. 6 7).
However, these cannot be implemented by simple statistical models as the healthcare costs data have specific characterizations [2].
Satellite remote sensing data have been used for characterization of the landscape and stratification for ground inventory.
XPS and XRD data have been used for the characterization of the catalyst before and after a catalytic run.
Gene expression data have also been used to refine the characterization of metabolic fluxes in models.
Geophysical data have proven to be very useful for lithological characterization.
The report is distributed to public health professionals, including epidemiologists, virologists, and local-level health professionals, but comprehensive spatiotemporal characterization of the surveillance data has not been conducted.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com