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Because PS appears as the most important PF in both models, we evaluated the accuracy of PS as a PF for early death (see Figure 2).
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Finally, for both models, we evaluate our algorithms on pairs of plant genomes.
In contrast, in both combination models we evaluated, the TC1 cell line with Ad.E7 (left panel) and LLC cell line with Ad.IFN β (right panel), DMXAA significantly increased the percentage of the classically activated, tumour-inhibitory 'M1' macrophages (defined as CD11b+/F4-80+/CD206−) by approximately two-fold compared with vaccine alone (P<0.05).
In these univariate models, we evaluated both linear terms (β z i ) and nonlinear smooth functions (f z i ); using a thin-plate spline basis with basis dimension k = 4) of each GIS covariate z i.
With the trained models, we evaluate our method on the test data from both HumanEva and IXMAS datasets.
To execute our model, we evaluated and adjusted the weights for each input.
Using this model, we evaluated the protective effects of OxPAPC.
As an example we evaluate a service business model alternative.
Both models were evaluated, giving good PROSA scores (−4.88 for wt and −5.25 for mutant).
Neither theory nor empirical studies suggest the exact number of lagged values to include in both models, therefore, we proceeded to evaluate different structures in terms of lags and chosen the model that best fits the data (Lass 2005; Capps and Sherwell 2007; Cacchiarelli and Sorrentino, 2013).
Both models evaluated the change in response over time using various nonlinear model structures.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com