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Combining studies generates increased statistical power and the ability to detect both more subtle and more complex and, perhaps, unexpected gene associations.
The increasing use of DNA microarrays for genetical genomics studies generates a need for platforms with complete coverage of the genome.
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These studies generate huge datasets allowing general functional correlates to be made.
Attempts to replicate these findings across independent studies generated inconsistent evidence.
These results contradict the publicity campaigns and empirical studies generated by parties with policy agendas.
Art departments modeled on cartoon animation units at studios like Disney specialized in subjects like pets or religious studies, generating thousands of images.
PRO-seq and ChIP-exo studies generate scientifically valuable datasets due to their unique characteristics and reanalysis potential, which advances the sharing and reuse of scientific data.
When plant toxicity is evaluated, studies generate complex results.
A recent article in Cell about the lack of ethnic diversity in human genomic studies generated a lot of press.
However, the relationship between vitamin D and ovarian cancer is uncertain, with observational studies generating conflicting findings.
The information such studies generate is usually intended to feed strategy and policy making processes.
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