Sentence examples for model data have from inspiring English sources
10 Our mouse model data have also shown that exenatide is effective in reversing GC-induced glucose intolerance.
In vitro cell culture studies together with sparse in vivo rat model data have shown that important cell signalling pathways are affected by RCM.
13 While animal model data have shown that epothilones induce a dose-limiting neurotoxicity and recovery after withdrawal of treatment, 14 there is no longitudinal pathological human data to confirm this finding.
Furthermore, while animal model data have shown that IL13 blockade inhibits AHR, this has not translated into humans with any of the biologics studied so far, indicating species differences between mice and men in the underlying mechanisms of airway hyperresponsiveness.
Because of our large-scale Monte Carlo ensembles, we believe that the variations in the underlying H1N1 model data have been well explored; therefore, we expect that heterogeneity in the results of the simulations to be dominated by the impact of network structure and contact duration rather than simulation artifacts.
Because relevant atmospheric model data had been archived, it was comparatively easy to run HYSPLIT with the same information for the Te Maari eruption as would be available for an eruption today.
In renal cancer models, data have suggested that the PI3K/AKT/mTOR pathway could be involved in resistance to sunitinib (Makhov et al, 2012).
Modeling data have shown that the ability of border screening to delay global pandemic influenza is closely linked to the effectiveness of the screening process or travel restriction used.
Modelling data has shown that testing rates need to be increased to 30% or more in order to reduce the prevalence of chlamydia [ 8].
The approaches used to model the data have their own advantages and disadvantages.
Theoretical Computer Science has brought to bear powerful ideas to find nearly optimal clusterings, while in Statistics mixture models of data have been useful in understanding the structure of data and in developing clustering algorithms.
