Sentence examples for by the squared correlation from inspiring English sources

LD was measured by the squared correlation coefficient r2 between pairs of SNPs.

A coefficient of determination (R) was approximated by the squared correlation between observed and predicted values [ 31].

Knowledge about linkage disequilibrium (LD) measured by the squared correlation between two loci is important for applications of molecular markers in association mapping and genomic prediction.

The strength of this association reflects the extent of linkage disequilibrium (LD), which can be represented by the squared correlation between genotypes at two loci.

The fitting and predictive performances of model were measured by the squared correlation coefficient (q) and root mean square error (RMSE) for both the training set and the external test set.

The reliability and reproducibility of the expression values of the selected transcripts were confirmed by the squared correlation coefficient (r2 = 0.98) calculated between the qRT-PCR and the RPK values.

Discriminate validity is examined by comparing the squared correlation between each pairs of constructs with average variance extracted.

The level of LD in the four simulated scenarios could then be assessed by calculating the squared correlation coefficient (r) between each pair of markers in the last generation.

The LD was estimated by computing the squared correlation coefficient (r) between pairs of markers (Hill and Robertson 1968), using all of the loci, only the loci with a frequency >0.1 and <0.9, and only the loci with a frequency >0.2 and <0.8.

The performance of a prediction model can be measured by r L 2, the squared correlation between each individual's predicted risk Gi and their liability value (r L 2 can be computed from r O 2, the squared correlation between Gi and case/control status, using the transformation above).

Reliability of the model was assessed by the MSEC of the training set by LOOCV, as well as the squared correlation coefficient (R) between predicted and measured y values in both the training set and the test set.