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In general, our model predictions were comparable with observed event rates for a Scottish randomised statin trial population which has an overlapping follow-up period with SHHEC.
At the level of functional implications, the fractions of alternative N- and C-termini out of the total functional predictions were comparable with those observed in the ON-stimulus state (36/36% OFF and 37/38%, ON).
The accuracies of predictions were comparable with other work in wheat, which have used different fingerprinting approaches (Crossa et al. 2010; Heffner et al. 2011), adding confidence to the GBS approach.
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Numerical results indicate that the obtained predictions are comparable with those generated by ABAQUS and available results predicted by 3D elasticity theory, first-order and third-order shear deformation theories.
The results show that, after addressing dielectric breakdown, the FE predictions are comparable with experimental results for various LSP systems.
Results indicate that both the Gravity and CDM model predictions are comparable in the high-hazard zone, but are different in other hazard zones.
The uncertainties in thermal conductivity predictions are comparable with those obtained with the well-correlated NIST REFPROP extended corresponding states approach (ECS), with maximum average deviations of around 3%.
These findings also support a recent claim that backward predictions and forward predictions are comparable in associative learning [15].
Even though the data set used is not the same, this model prediction is comparable with the previous Kp index prediction by Wing et al. (2005) and Boberg et al. (2000).
Single copy read prediction was comparable on different sequencing platforms.
The accuracy achieved in disease prediction is comparable or better than the previously published results.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com