Sentence examples for creating variability from inspiring English sources

As an example of the power of hybridization in creating variability, a cross between hypothetical wheat varieties differing by only 21 genes is capable of producing more than 10,000,000,000 different genotypes in the second generation.

Significant genomic evolution often occurs during breast cancer progression, creating variability within primary tumors as well as between the primary carcinoma and metastases.

As Lehrer's research has indicated (e.g. Lehrer et al., 2011), engaging young students in creating variability through measurement error is a powerful way of making visible the impreciseness in measuring - from the tools chosen, how they are manipulated and how measurements are recorded and interpreted.

In summary, the results presented here may help to unveil how retrocopies can contribute to shaping and creating variability and novelty in the primate genomes.

Socio-demographic variables were included in the model as covariates, as the caregivers and controls were only matched at the group level; thus creating variability once the caregiver sample was stratified by MS severity.

Background "noise" and the natural variation between experimental animals as well as compound-related characteristics in pharmacologic and toxic action complicate matters by creating variability in the analyzed data.

The samples were taken from different regions of the original ingot, and this created variability in the resulting pole figures.

The suspension of the vehicle creates variability in the camera pose, and this translates to uncertainty on the inverse perspective transform.

This year-to-year variability among abiotic factors create variability in the gonad cycle of individuals of the same site (Seed 1976; Ferrán 1992) and as a result fall spawning may occur some years (Andreu 1958; Aguirre 1979; Villalba 1995).

Although statistical analysis of general health parameters between treatment groups showed no significant differences, the inclusion criteria (based upon onset of T1DM) used in this study inherently created variability of age, weight, and weight change within treatment groups.

The spatial point pattern test operates in such a way to create variability in one dataset by sampling at 85%% in order to generate nonparametric confidence intervals for statistical testing: comparing this test dataset to a baseline spatial distribution.