Sentence examples for between datasets were calculated from inspiring English sources

Correlations between datasets were calculated by the Pearson product moment correlation coefficient in MATLAB.

Statistical significances of the correlations between datasets were calculated using Pearson's R values.

Distances between datasets were calculated as one minus the correlation coefficient of the resulting taxonomic distributions.

Accordingly, the distance between datasets was calculated as the average interpoint distance of all points in one dataset from all points in the other dataset.

The mean and 95% CI of AUCs produced from the 1,000 datasets were calculated, and comparisons between parameters were made by the Student t test.

The correlation between REGγ and every other gene in these datasets were calculated and evaluated statistically.

Pearson correlation coefficients between genetic purity values obtained for all eight datasets were calculated using MINITAB v14.

Then, log2 ratio between the mixed datasets was calculated.

Thus, the sensitivity of the HEK-293 cell-based assay results in comparison to male patient PBMC α-Gal A responses for this small number of mutant forms shared between the two datasets was calculated to be 1.0 (11÷11 = 1.0).

Thus, the specificity of the HEK-293 cell-based assay results in comparison to male patient PBMC α-Gal A responses for this small number of mutant forms shared between the two datasets was calculated to be 0.88 (7÷8 = 0.88).

The extent of agreement between the Affymetrix and Agilent datasets was calculated as the percentage of genes in common out of the possible maximum (Table 1).