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Association strategies, including genome wide association, provide a theoretically more powerful methodology for identifying disease polymorphisms, but also present new methodological and statistical challenges.
Whereas their methodology is capable of detecting known mutations such as the Ashkenazi mutations by designing primers flanking those mutations, our methodology is an essentially different and more powerful methodology which is designed primarily as a screening methodology.
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Second, even larger sample sizes and more powerful methodologies are needed to detect such small effects.
Our findings suggest that the hunt for these genes will require even larger sample sizes and more powerful methodologies.
Together the inconsistencies of the findings highlight the need for employing more powerful immunoassay methodologies to clarify the frequency of autoantibodies in ASD.
This approach combines techniques such as non-temporal parity space analysis (PSA), principal component analysis (PCA), sensor fusion and fuzzy decision systems to form a more powerful sensor FDI methodology that exploits the strengths of the individual techniques.
As such, numerous challenges remain in terms of refining approaches toward a more powerful and synthetic methodology.
The abundance of time-dependent information contained in the Spinal Cord Injury and the Traumatic Brain Injury Model Systems National Databases, and the increased prevalence of repeated-measures designs in clinical trials highlight the need for more powerful longitudinal analytic methodologies in rehabilitation research.
63 Although culturing remains valuable for identifying functional groups and for selective enumeration (eg, of pathogens), new culture-independent approaches provide more powerful and convenient methodologies for monitoring changes in the GI tract community (table 1).
There does remain, nevertheless, a need to develop and apply new, more powerful tools and methodologies, in particular those aimed to identify reciprocal polymorphisms in genes involved in the host-pathogen interaction, for both host-schistosomes and many other theoretically and clinically important host-pathogen systems.
Thus the Functional Foresight methodology is not only more powerful and flexible from the technology side, but also more productive on the stakeholder side.
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