Sentence examples for multiple independent parameters from inspiring English sources
Using a mean variance based ranking system of multiple independent parameters, statistical differences became apparent.
The predicted deleterious effect of each nsSNP was measured taking into account multiple independent parameters including sequence conservation, effect on structural stability, proximity to phosphorylation sites, glycosylation sites and disulphide bonds (see Supporting Information S1).
Rather than using Cox proportional hazard models to adjust KM results for multiple independent parameters, parametric techniques were instead used.
ErbB2-deficient conditional mutant mice were viable; however, physiological analysis revealed the onset of multiple independent parameters of dilated cardiomyopathy.
We then analyzed the resulting distribution of steady-state protein abundance obtained from multiple independent simulations under 6400 different parameter conditions (see Additional file 1: Figure S3 legend).
The set of independent parameters used in the multiple regression describe the deterministic and the stochastic character of the incoming flow.
Stepwise multiple regression analysis was used to identify independent parameters correlated with changes in pulmonary function.
Multiple stepwise regression analysis was conducted to identify independent parameters that significantly explained serum amylase levels.
Multibiomarker signatures and gene associations have been implicated in PCa progression but few markers emerge among multiple independent studies as potentially prognostic, outperform established clinicopathologic parameters in predicting BF following prostatectomy, or have become routinely used in clinical labs [ 6- 18].
The average value and standard deviation of this parameter was obtained from the multiple independent measurements performed under the same experimental conditions.
Contextual additive modeling [45 48] assumes model parameters to be a sum of multiple independent components, each having different context dependencies; therefore, different decision trees have to be trained for them.
