Sentence examples for model we converted from inspiring English sources

Using this model we converted the raw score to adjusted score, and a ROC curve was calculated using the adjusted score.

Once the gap-filler no longer added reactions to the model, we converted the model into a true FBA model, without any try-sets.

As a final check on the possibility that collinearity among lead variables significantly affected the pattern of results in the mixed model, we converted the group of lead variables to orthogonal variables and ran the model again.

Since we could not derive a correlation coefficient from the output of the repeated measures model, we converted the PB and BM WT1 ratios and bcr/abl measurements into z-scores and used this standardized coefficient as a proxy for the correlation coefficient.

We assumed the fluxes of a reaction among all 977 single gene deletion simulations have a normal distribution (with the population mean the flux of the original model) thus we converted all fluxes into Z-scores and calculated their P values.

For model optimization, we convert our model as two individual convex subproblems with one non-smooth, and implement an alternating direction method to generate an efficient optimal solution.

In the performance of differential elimination, the ranking of variables was: xA ≻ xB ≻ xAB in Model 1 and P(Pool) ≻ x4 ≻ x3 ≻ x2 ≻ x1 in Model 2. Subsequently, we converted the form of the polynomial equations derived by differential elimination to the Java code by using the CodeGeneration feature in Maple 10.

Because readmission rates ranged from nearly 18%to25%5%, we converted model adjusted odds ratios to risk ratios to simplify direct interpretation.

By introducing the expected value model of uncertain variables (vector), we converted one class of uncertain variational inequality problems into a class of deterministic variational inequality problems, which can be solved by many classical methods such as those presented in [1, 22].

To calculate range size of each clade, we converted the model raster files into polygons in ArcGIS 9.3 and recorded polygon area in square kilometers.

Applying the MIMICS® software (http://biomedical.materialise.com/mimics), we converted the geometrical models into finite element models.