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Multivariable approaches could have been used in order to decipher the correlations of job satisfaction with internal marketing, demographic and occupational factors.
Y. Sun and Q. Liu presented a computational framework for deciphering the correlation between breast tumor samples and cell lines.
In contrast, several studies aiming at deciphering the correlation between cancer samples that harbor aberrations in chromosome 16 and WFDC1 discovered low mutation rate and no significant alteration in WFDC1 expression in various cancers (13– 13).
Although the biosynthetic pathways of some plant and microalgal ω-3 PUFAs have been deciphered, current understanding of the correlation between fatty acid desaturase content and fatty acid synthesis in Synechocystis sp. PCC6803 is incomplete.
Although our association tests indicated relationships between environmental variation and genetic heterogeneity (i.e., allele frequency variation), it is challenging to decipher the biological relevance of those correlations.
Despite the increasing number of reports using expression profiling to decipher the molecular mechanisms of cancer, or to predict clinical outcome or survival, these studies rarely address the correlation between mRNA and protein expression.
That's the correlation.
Exploiting the correlation is simple.
The correlation is striking.
The correlation holds across the world.
The abolition of apartheid reduced the correlation.
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