Sentence examples for more precise samples from inspiring English sources

Big data may reveal behavior that was previously difficult to detect, including those that are deliberately hidden, and allow comparisons between more precise samples of interest (Monroe et al. 2015).

This kind of distribution is expected to result in more precise sampling or state transition in particle-filter methods.

Our aim was to quantify and describe severe malaria across a variety of epidemiological settings so that we could design intervention studies with more precise sample size estimates.

Not only does the UV system allow faster and more precise sample collection, but also the obtained samples even single cell samples can be used for DNA extraction and downstream polymerase chain reaction (PCR) applications.

This allows more precise sampling of the particle movement than the four discrete 4-frame averages along the 16-frame videos shown in Figure 1.

This suggests that the variance in cortisol was not affected by the more precise sampling on the day of test, and that the laboratory test day samples did not necessarily contain less measurement error than the at-home days.

A more precise sampling in North Africa would allow the delimitation of the exact distribution ranges of each sub-clade, and the determination of whether contact zones do exist between them.

We caution, however, that additional studies involving more precise sampling of normal colonic mucosa from individuals without cancer are required before concluding that there are no site-related differences in the CpG-island methylation levels of this tissue.

The use of several levels of separation and the generation of a relatively high number of peptide fractions led to the identification of a significant number of proteins and of low-abundance proteins, as well as to more precise sample quantitation, as the coisolation issue related to iTRAQ tagged peptides is less pronounced in fractions with reduced complexity [ 24].

For microsatellite data, the temporal method is reported to be more precise when samples are taken several generations apart than point estimates (Waples and Do 2010).

Adaptive sample size re-estimation will be conducted to provide more precise overall sample size requirements given the observed variance and retention rate, while maintaining the overall Type 1 error rate and power for the stated effect sizes [ 30].