Sentence examples for variation in classical from inspiring English sources

Interestingly, a recent survey on classical mutations and genome polymorphisms in N. crassa [ 36] revealed significant genomic variation in classical mutant strains in this fungus.

In haplotype analysis to examine whether associations with SNP data could be mapped to variation in the classical HLA alleles, we used multiple logistical regression that would allow the addition of covariates and assumed additivity in the effects at a haplotype at a locus (53).

But the two most important new directions for variation in the Classical-Romantic period were, first, toward what might be best called "ensemble variation," variations utilized as one movement in a multimovement chamber or orchestral work; and second, toward free variation, in which the theme is handled in a much freer manner than before.

One consequence of this is that, since there will nearly always be some variation in immigration rates, classical models that treat migration as a single parameter (with zero variance) will consistently overestimate the influence of immigration relative to local selection, and thus underestimate the potential for local adaptation and speciation.

The reason for this variation is poorly understood but it may be the effect of genotype [ 2], breed or strain, which are thought to be the cause for the variation in the neuropathology in classical scrapie [ 18- 20].

Similar to CN variation, SNP variation in pheromone receptors is lower in classical laboratory mice when compared to wild-derived mice [ 48].

Using the 2-D power-law distribution, it is possible to consider various kinds of two directional volume fraction profiles including sigmoidal radial variation as well as symmetrical or classical variation in axial direction.

There have been two main quantitative genetic approaches used to clarify causes of observed variation in the human dentition: classical correlation analysis and multiple abstract variance analysis.

It is increasingly accepted that variation in the prevalence of classical risk factors for chronic diseases (smoking, blood pressure etc) only partially accounts for these social class gradients (for example in coronary heart disease (CHD)) [ 9- 12] and that there is a need to uncover other potential explanatory pathophysiological mechanisms.

So far, the controllers proposed for UPQCs have always relied on a fixed grid frequency but, nowadays, the interest in using the UPQC for microgrids (even in island mode) is also increasing [7, 8] and this scenario will certainly require to tackle power quality issues with grid frequency variations larger than those experimented in classical distribution networks [9, 10].

Both genes have been implicated in both RD and sub-clinical variation in reading performance, using both classical neurobehavioral measures, and more recently, neuroimaging techniques (Eicher and Gruen 2013; Graham and Fisher 2013).