Sentence examples for predictor and used from inspiring English sources

We developed a novel MBOMP predictor, and used it to perform a Eukaryotic-wide search for β-signal dependent MBOMPs, and a β-signal independent search in yeast and Arabidopsis.

As a strategy to compare the trends between both categories we used linear regression analyses (with 'suicide rates' as outcome and 'quality of study' as predictor) and used the estimated β as an indicator of the likelihood of the trend [ 16].

Therefore, we omit ε from the linear predictor and use this linear predictor for all binomial models For binomial data, it is not immediately obvious how to define the heritability of the trait.

Local traders are constructed with pattern-based multiple predictors, and used to decide the purchase money per recommendation.

Next, we identified relevant predictors and used them to construct Bayesian logistic regression models, trained using a set of well-characterised rare variants.

For each of the seven reproductive traits, we constructed a GLM that included six predictors, and used a Poisson distribution and a log link.

We started with a model with no predictors and used stepwise selection to add significant predictors to the model, starting with the one that had the smallest P value (till P value for entry was less than 0.01).

Proteins meeting this initial criterion within the fold were then employed as candidate predictors and used for a further stepwise protein selection into a predictive model within the same fold.

For baseline demographics and clinical data, we used chi-square analysis for dichotomous predictor variables and used an unpaired t test to compare survivors and nonsurvivors.

We did the same in step 3 to remove the effect of forest attributes by fitting models with all variables (four environmental factors and 12 forest attributes) as predictors, and using the residuals to calculate the Pearson correlation between ecosystem services.

Given a standard clinical MRI, our method automatically computes the predictors and uses the learned information to predict the patient-specific STN.