Sentence examples for good overall correlation from inspiring English sources

Exact(12)

Most CBCT devices have a good overall correlation with HU units, but large errors can be seen when using the grey values in a quantitative way [34].

Similar to the age-specific findings, we observed fairly good overall correlation of the gender effects on DNA methylation levels in the two sample sets at 0.69 (95% CI: 0.62 0.74).

Interestingly, although there is a good overall correlation between the data sets (Figure 3A) there are many mRNAs that exhibit differential decay rates between C2C12 cells and ES cells under the three conditions tested: pluripotent (+Leukemia Inhibitory Factor, LIF), differentiating in the absence of LIF, and differentiating in the presence of retinoic acid (RA) (Figure 3B).

There was a good overall correlation (r=0.75) between bioluminescence imaging and tumour load for individual rats.

Previous studies have demonstrated good overall correlation of HU133 Plus 2.0 with Exon 1.0 ST arrays (Okoniewski et al, 2007).

However, investigation of a small sEHI library indicates that, despite good overall correlation with data from surrogate assays, the determined potency for individual sEHI is substrate-dependent.

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Similar(48)

This procedure allows consistent, qualitative assessment of colony development on many substrates; it has been performed routinely for more than 100 fungal species and showed good overall correlations with the genome content of these species [ 16, 18, 19].

Fresh-frozen samples showed a good overall Pearson correlation of 0.78, and FFPE samples showed a lower overall correlation coefficient of 0.59, which is likely due to sample quality.

Our results demonstrated that this probe-based assay (NanoString) achieved a good overall Pearson correlation when we compared mRNA transcript quantification results between paired fresh-frozen and FFPE samples.

In addition to the pre-analytical potential challenges, researchers from many laboratories have now found that miRNA profiling results obtained using different platforms can vary dramatically for individual miRNAs despite good overall inter-platform correlation [17 21].

They found that, despite good overall agreement (Spearman correlation coefficient 0.76), 31% of self-reported birthweights differed from birth record data by 500 g or more, and that this level of misclassification led to both underestimation and overestimation of the magnitude and significance of various effect estimates.

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