Sentence examples for different sets of populations from inspiring English sources

Exact(1)

By default, ALDER sets d0 to be the smallest distance such that nonadmixture LD signals can be confidently discounted for d > d0 (see Methods, Testing for admixture, and Appendix B), but it should be noted that the selected d0 varies for different sets of populations, and in each case the true admixture signal at d < d0 is also excluded.

Similar(59)

The multiplexed POC based strategy was feasible to operationalise and preferred by a completely different set of populations in two different settings, with very different baseline rates of screening for HIV and co-infections, and varying levels of endemicity of these infections, and these explain the fact that detection of new infections differed in these two participants.

So it is not surprising that the earliest branches on his Y chromosome tree lead to a different set of populations than those in Dr. Wallace's mitochondrial DNA tree.

Often AIMs are discovered in one set of populations and then employed in a different set of populations.

However, since we used a different inferential framework, a different set of populations and distinct types of genetic information, it is difficult to evaluate the causes of this discrepancy.

To test whether the choice and number of the non-Pygmy populations (Yoruba and French) could bias the PI n results, we repeated the analysis with a different set of populations covering Africa and Eurasia (Mbuti, Biaka, Mandenka, Yoruba, Kenyan Bantu, French, Russian and Han, taken from the standardized subset of individuals on the same SNP dataset; Li et al. 2008; Rosenberg 2006).

The different chemistries of Infinium I and infinium II probes and the fact they interrogate different sets of CpG populations, means that the probe groups have different distributions of DNA methylation measurements on the HM450K bead array [ 20].

The results of Menenti et al. (forthcoming) can strictly speaking not exclude the possibility that different sets of neuronal populations within a particular brain region underlie syntactic decoding versus syntactic encoding.

To verify the effectiveness of the proposed GSA based filter modeling, different sets of initial population with the presence of different measurable noises are given and tested in simulations.

It involves natural selection cleaving off individuals with highly divergent traits within populations and favoring slightly different sets of traits within populations in each generation amid ongoing environmental change.

However, it is not known what confidence could be placed in these signatures of selection if a different set of divergent populations was used, or if intermediate populations were included.

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