Sentence examples for measured as the correlation between from inspiring English sources

The similarity between the voxel and factor activation profiles was measured as the correlation between these two vectors.

Accuracy was measured as the correlation between EBV and TBV.

The phasing accuracy was measured as the correlation between true and predicted alleles by origin.

Functional connectivity was measured as the correlation between the average time series of different ROI-pairs.

Accuracy of imputation was measured as the correlation between true genotype with imputed genotype or genotype probability for reasons outlined in [ 21].

Prediction accuracy was measured as the correlation between predicted breeding values and observed phenotypes divided by the square root of the heritability.

The optimal parameter values are chosen by using the RF estimate in the LN model to simulate responses to the training stimulus (with f also estimated from the training data as in [20]) and maximizing the predictive power measured as the correlation coefficient between the simulated and actual responses.

While prediction accuracy is traditionally measured as the correlation (r) between predicted and observed line values given this statistics connection with selection accuracy, we measured the coefficient of determination (r) obtained by regressing line values against predicted line values obtained by GBLUP or by bagging family-nested QTL models during cross-validation.

The similarity between two probe-set patterns was measured as the correlation coefficient (CC) between them by using the formula shown below, (1) C C = ∑ i = 1 n f i A - f A ¯ f i B - f B ¯ ∑ i = 1 n f i A - f A ¯ ∑ i = 1 n f i B - f B ¯ where f i A and f i B represent the frequencies of probe i in organism A and organism B, respectively, and n denotes the number of probes.

In addition, the accuracy of the DGV (measured as simple correlations between DGV and phenotype) ranged from -0.06 to 0.57.

In addition, these markers could be used to calculate a direct genomic breeding values (DGV) for a given fatty acids with an accuracy (measured as simple correlations between DGV and phenotype) ranging from -0.06 to 0.57.