Sentence examples for set of predictors that from inspiring English sources

We calculated a set of predictors that aggregated the information available for the diversity and community composition of woody plants and for the diversity of heterotrophic organisms at higher trophic levels (see Supplementary Table 12 for details on observed values).

(See Table 1) For consistency in presentation and interpretation, the final model for each scenario included the same set of predictors that showed a meaningful relationship with willingness to donate under at least one scenario.

Though, finding a stable set of predictors that can consistently be used in a broad patient population proves to be difficult.

In contrast to the failure of static measures, a novel set of predictors that rely on perturbing the circulation accurately foretell whether fluids will augment cardiac output.

In conclusion, we report a set of predictors that are easy to measure that could be used to screen for seniors who are more likely to have poorer health outcomes as a result of their CAP.

We extracted the best predictors with nested model comparisons by calculating the Akaike Information Criterion (AIC); explanatory variables were removed and added to the models to determine the set of predictors that yielded the lowest AIC.

Predictions of the intrinsic disorder propensity can be performed using a set of per-residue Predictors Of Natural disordered regions (PONDR®) algorithms, PONDR® VLXT, VL3 and VSL1/2 or a set of binary predictors that predict disorder on the level of whole proteins, charge-hydrophathy plot (CH-plot) and cumulative distribution function (CDF) analysis.

We present a general approach for characterizing frequentist variability in LASSO-based model choice, LLARRMA, and apply it to a problem for which it should be well suited: discriminating true from false signals among a set of SNP predictors that are often highly correlated.

Class prediction was performed by using prediction analysis of microarrays (PAM), a statistical package [ 45] that applies nearest shrunken centroid analysis and cross-validation to determine a minimal set of predictor genes that achieve optimal prediction accuracy for sample classification [ 46].

This study utilized a multiple regression approach to determine the best set of predictor variables that explain rate asymmetry among paralogs at the sequence level.

The PLSR model identifies the relative importance of a set of predictors (cytokine measurements) that best correlates with the outcome response (osteoclastogenesis).