Sentence examples for variability of correlation from inspiring English sources

This was done since the variability of correlation coefficients hindered efforts to define a single universally applicable cutoff level.

However, the gene-specific correlations shown in Supplementary Table 2 (see Additional file 4) demonstrate variability of correlation across genes.

Fisher realized that this transformation makes the variability of correlations which are close to ± 1.00 comparable to those of mid-range correlation values (Hotelling 1953).

Influences of different compartments of adipose tissues could elucidate the variability of correlations between insulin resistance and high leptin concentrations in lean and obese subjects of both genders [ 43].

Results obtained by ACIS gave excellent inter-and intra-observer variability (coefficient of correlation >0.9 for both, p < 0.0001).

The variability of genetic correlation is critical for understanding trait evolution under natural selection.

The patterns of spatial variability of the correlation of δpopulation are more varied, with local local pollutant pairs showing a larger degree of spatial variability than regional regional pollutant pairs (5th to 95th percentile for correlation coefficients of 0.56 to 0.93 for NOx EC, –0.42 to 0.63 for CO NOx, and –0.46 to 0.59 for CO EC).

Our findings are consistent with the finding of Goncalves et al. (2008) where a large inter-subject variability of the correlation between EEG and fMRI was reported for the alpha frequency band.

Here we demonstrate that application of the algorithm presented here, trained on one known gene cluster, can be used in the search of other gene clusters of a similar type even when the variability of the correlation between the members of the training set is quite high (see Results and Discussion).

This initial model is used, together with the multivariate statistics characterizing the variability of, and correlations within, the numerical dynamo model (Aubert and Fournier 2011; Fournier et al. 2011), to estimate an initial condition for the subsequent integration of that numerical dynamo model.

The variability of this signature correlation value among the tumor hybridization dye swap pairs under different conditions is a good measure of overall variability in the microarray assay.