Sentence examples for more powerful experimental from inspiring English sources
Although Dr. Struhl's subsequent research shifted to the study of secreted factors that organize cell pattern and organ growth, he has periodically returned to the question of how genes are heritably silenced as new discoveries and more powerful experimental approaches have come along.
According to the examples above, it can be concluded that changes in gene expression and their association with behavioral traits or psychopathologies remain among the more powerful experimental tools to uncover the mechanisms leading to a brain disorders.
An intriguing question was whether or not this new, and presumably more powerful, experimental strategy would uncover novel imprinted genes.
We suggest that this is a promising area for research using some of the more powerful experimental methods now available.
With more powerful experimental and statistical approaches, these effects can likely be detected on many thousands of genes, or even onto all of the transcriptome.
We posit that an automated phenotyping and selection system for Drosophila size traits would be highly beneficial, because it enables a more powerful experimental design of artificial selection studies for morphometric traits by decreasing the phenotyping effort.
Where the goal of research is discovery or new explanations, case studies may offer a more powerful research design than experimental methods.
These approaches are more powerful, less vulnerable to common experimental variation and usually more advantageous for obtaining biologically meaningful results.
Moreover, results showed that the reasoning of the experimental group was more powerful than that of the control group.
The advantage of the hybrid model to distinguish between the two populations of quiescent and proliferating stem cells becomes more powerful for murine hematopoiesis and related experimental possibilities.
Collections of evidence covering a variety of experimental scenarios will provide more powerful data to train and validate new analysis methods.
