Sentence examples for correlated adding from inspiring English sources

If viral communities follow this pattern, microbial and viral community composition should be correlated, adding to recent evidence that phage predation can exert top-down control on microbial communities [2], [3].

Considering, moreover, that the transcriptome programme differs widely between tissues and across development stages of the same organism while simultaneously many expression levels are highly inter correlated adds an additional layer of complexity to the problem.

Correlations among these measures were assessed to address multicollinearity issues that would arise from adding overly correlated measures into the same model.

EOF analysis of the seasonal data consists of linear recombination of typical anomaly patterns (EOFs) to capture large-scale features, and adding spatially correlated noise for features of small scales (Fig. 2).

That is: when adding highly correlated SNPs to the analysis, power only increases if these SNPs are actually DSL that convey an independent association signal.

Hence, no bias is created by adding less correlated exome samples and only the effect of the size of the reference set is evaluated.

It has been shown that it is possible to simulate exposure reduction by adding spatially correlated noise to reconstructed images [ 5]; however, the same research group states that there is no doubt that the ideal method is to add noise to raw projection data.

For each of the remaining categories, starting with the category with the most correlated feature, we keep adding features (starting with second-best feature from the category) as long as the addition of a feature increased the AUC value for the 5-fold cross validation on the MxD dataset.

(E ) Correlated noise is added to each (CP, CD) point shown in D, with the correlated noise distributions previously measured as in panel C.

The same behavior was also demonstrated by Wendemuth et al. (1993), who found that the combination of correlated inputs potentially adds more weight not only to the predictive information, but also to the biases.

Models were also optimized by comparing the −2 log likelihood and Hosmer-Lemeshow goodness of fit when correlated variables were added or removed.