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Namely, such a correlation represents a genetic correlation, meaning that gene effects on one variable are correlated with gene effects on the other variable [ 34, 35].
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Finally, a correlation representing the relation between total energy consumption, WWR and WO has been established in this paper.
The data analysis yielded an R-value, which is a correlation representing the linear relationship between the data pairs.
The search recovers both positive and negative correlations, that is, a positive correlation represents high protein level correlating with sensitivity whereas a negative correlation represents a cell line with low protein but high sensitivity to a compound.
For example, the reporting of an intracluster correlation represents an important contribution to the literature, allowing future studies to plan for adequate power.
Similar to a level B correlation, a level C correlation represents a single-point correlation and does not reflect the complete shape of the plasma profile which best defines the performance of modified-release products.
It is, however, unclear whether this positive correlation represents a regulatory effect of lncRNAs, or a passive consequence of the transcriptional activation of the divergent protein-coding genes.
The possibility that this correlation represents a general mechanism responsible for at least some aspects of skull growth across non-carnivoran mammals has not yet been thoroughly investigated.
It has been suggested that this correlation represents a case of gene-culture co-evolution, i.e. an adaptive genetic trait exposed to positive selection induced by cultural practices.
Since this correlation represents a double path (from first genotyping to actual pool content, and from actual pool content to second genotyping), this observed correlation of 0.87 is equivalent to a correlation of 0.93 between a single genotyping and actual pool content.
For a trait with a heritability of 1, this correlation represents the correlation between true and estimated genetic merit.
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