With multiple sites under study, these approaches might result in different or multiple distinct groups.
Conditions under which these approaches would be useful include: Protein-protein interactions that are resistant to characterization using standard GST fusion or yeast 2-hybrid analyses; A source of monoclonal antibodies (mAbs) or similar specific binding agents must be available.
However, these approaches under-exploit the potential of proprioception, such as its usefulness to estimate the object pose and size.
In summary, none of the existing approaches can deal with all practical issues and a study of these approaches under various practical conditions would be very valuable.
While mesh-based approaches have emerged as the dominant architecture for P2P streaming, the performance of these approaches under malicious participants has received little attention.
In this study, we compare the performance of these approaches under various scenarios and identify the most efficient sampling scheme for each situation.
However, little is known about the accuracy and suitability of these approaches under these circumstances.
In general, the results of these prior studies are comparable to our theoretical results, although it is difficult to anticipate the true level of accuracy that would be achieved by these approaches under experimental conditions.
Self-report alcohol consumption measurement using well-developed measures from these approaches under appropriate assurances of confidentiality and anonymity has been considered reasonably accurate for research purposes (Del Boca and Darkes 2003; Midanik 1988).
Even more, under the same assumption, these approaches might diffuse [via linkage disequilibrium (LD)] the signals to relatively distant non-functional regions, which might add another layer of difficulty to any subsequent attempt to fine-map association signals.
