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Discover LudwigThe phrase "allows more powerful" is correct and usable in written English.
It can be used when discussing capabilities or features that enable greater strength or effectiveness in a particular context.
Example: "This new software update allows more powerful data analysis tools to be utilized."
Alternatives: "enables stronger" or "permits enhanced".
Exact(2)
Compared to the mouse model, the zebrafish model is very suitable for large-scale genetic and high-throughput screening in many ways, and it allows more powerful induction of tumors by carcinogens [ 10].
This allows more powerful conclusions when a single study group is too small, and it fits naturally in the Bayesian framework where the inclusion of all available evidence into an analysis is anticipated [ 1].
Similar(58)
However, in this paper, the motion model parameters are not transmitted since they are created and used at the decoder to create a SI frame, thus allowing more powerful motion representations without any bitrate penalty.
18 Second, increased antagonist compliance may allow more powerful contractions of the agonists.
MasterBayes allows the simultaneous use of genetic and behavioural information relating to the likelihood of paternity, allowing more powerful paternity assignment.
Second, non-standard tests span greater genetic distances than do pairwise tests, allowing more powerful analyses of the structure of fitness landscapes.
Tighter pooling may also be desirable during hypothesis generation and study planning to allow more powerful and accurate data mining (Steps 1 3).
New data sources may allow more powerful hypothesis-driven research, i.e., evaluating prespecified social, behavioral, or clinical determinants of dementia, and also agnostic search conducted in the absence of clearly specified hypotheses.
Our main motivation for the present study was to develop a simple and general summary of blockwise data that (i) removes the need for phase information and (ii) captures short-range linkage information, allowing more powerful inferences than the SFS.
Although they were not designed to be assessed together, combining them allows more robust and powerful data in this setting.
Microarrays give a reliable picture of induced or repressed genes under given conditions, and RNA sequencing is even more powerful, as it allows more sensitive and quantitative detection of a given transcript, even if no expression variation is observed.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com