Sentence examples for data were highly correlated from inspiring English sources

The MPSS and SBS data were highly correlated (Pearson's correlation coefficient = 0.85), and 83% of genes had similar gene expression in both libraries.

The self-reported current height and weight data were highly correlated with measured data (correlation coefficient: 0.82 for height and 0.97 for weight) in a subsample of postmenopausal women (n=2921), although we were unable to validate the data for weight at age 20 years.

The predicted and observed sap flux data were highly correlated (mean sensor-level Pearson correlation coefficient = 0.88).

The self-reported height and weight data were highly correlated with the measured data (correlation coefficient: 0.94 for height and 0.96 for weight).

Ancestral values for all nodes of the tree with and without the inclusion of fossil data were highly correlated for absolute brain mass (parsimony, Spearman's correlation coefficient (r s ) = 0.932; ML, r s = 0.932; Bayesian MCMC, r s = 0.993, all P < 0.001) and body mass (parsimony, r s = 0.939; ML, r s = 0.941; Bayesian MCMC, r s = 0.960, all P < 0.001).

The HI_1 dataset was selected as a representative of the HI group, and these data were highly correlated with the HepG2 transcriptome from the ENCODE project (Spearman correlation r = 0.92, for RPKM vs. FPKM of 18,831 genes resulting after the annotation conversion from RefGene to Ensembl; Additional file 6: Table S6 and Additional file 7: Figure S1).

As expected, the replicates in each data are highly correlated, and the Pearson correlation coefficients between the replicates in X1 or X2 are greater than 0.95.

However, the estimation of parameter α for neofunctionalization does not improve well with the increased number of gene copies (Fig.  2), because duplication times in the simulated data are highly correlated and the auto-correlation between two adjacent duplication times increases as the number of duplication times increases.

We see that the occurrence frequency of various patterns in the human and mouse data is highly correlated, as indicated by the correlation coefficient of 0.923.

The p-values < 0.001 indicate that the microarray data is highly correlated with the first three parameters, whereas there is no correlation with nursing.

Moreover, the AB data was highly correlated with QRTPCR validation data (R2 = 0.71) while Affymetrix data had lower correlation with QRTPCR results (R2 = 0.47).