Sentence examples for samples when combined from inspiring English sources

Spectral data can be used to classify or estimate properties of unknown samples when combined with multivariate data analysis based on a correlation with physical properties obtained from reference analytical methods applied to well-characterized and representative samples [23 26].

Plate counting methods can accommodate large volume liquid samples when combined with liquid filtration through membranes.

Our results demonstrate that in-solution hybridization capture of pooled DNA samples when combined with our variant calling algorithm is a viable and cost-effective approach for performing large-scale resequencing studies using high-throughput sequencing technologies.

The newly designed primer showed successive amplification for 26 of 28 scale insects samples when combined with the LepR1 primer while the universal primer sets could only recover 5-65-6eandamplicons and the cocktail primer generated amplicons only in Pseucococcidae samples.

This research indicates that a mobile saturation sampling network, when combined with proper modeling techniques, can uncover small area variations (e.g., 10 m) in particulate matter concentrations.

Later, the lab boosted resolution still further by positioning objectives above and below the sample, which when combined with the cylindrical lens yielded axial positions with better than 20-nm resolution.

It will be important in future studies to assess each candidate biomarker's value in diagnosis in independent sample sets when combined with other existing biomarkers or imaging tools.

Population-based case families can be used to characterize susceptibility genes by providing estimates of penetrance and prevalence applicable to the population groups from which they are sampled, and, when combined with controls and control families, can provide multiple designs for addressing issues in the genetic epidemiology of breast cancer [ 26- 29].

While some NHANES studies used a three-way PIR-based classification, e.g., poor (PIR < 1), near poor (1 ≤ PIR < 2), and not poor (PIR ≥ 2) [ 18, 19], we found that a three-way PIR-based categorization often results in small subgroup sample sizes when combined with a three-way race/ethnicity-based categorization.

The proportion of the population classified as overweight or obese increased in most physical activity and screen time groups when examined as separate behavior groups, and significantly increased only in the I-MVPA/HST group (overall sample and females) when combined behavior groups were examined.

As it is, Schmidt and Hunter's (1998) corrections inflate the correlations in their samples by 61% when combined with their correction for measurement unreliability.