Sentence examples for using random samples of from inspiring English sources

To determine p1, we examined the empirical distributions of single-read quality scores for fourteen 2× assemblies (as well as one 7× assembly), using random samples of reads from the NCBI Trace Archives http://www.ncbi.nlm.nih.gov/Traces/.

In the simulations, the reported distributions are typically determined using random samples of n=100 query fingerprints against background databases that range in size from 5000 to 1 million fingerprints.

The LD in samples of newborns can provide estimates of the former size, while our results indicate that the latter size is best estimated using random samples of reproductively mature adults.

However, Further studies using random samples of GPs and subtreshold depressive patients, and thus avoiding selection biases, are needed to further validate the diagnostic and treatment strategies of the GPs' we questioned and to confirm their approach to the care of patients with subthreshold depression as sufficient and satisfactory.

The advantage of using random samples of metabolic networks with a specific property for our analysis is that such samples have not been subject to any of the (usually unknown) selection pressures that an organism's metabolism is subject to, and that they can form a useful reference point to ask whether any one organism's metabolic network has typical or atypical properties.

The instability tripping of units due to dynamic interactions are also modeled by using random sampling of stability of units.

Similar to the components outage modeling, the protective relay actions are modeled by using random sampling of relay operations.

Random outages are modeled by using random sampling of states where uniformly distributed random numbers are generated between 0 and 1.0 for each network component and then they are compared with the probability of the outage of each component.

The response surface method (RS M equation was then used to carry out a large number of Monte Carlo simulations using random sampling of distributions for soil friction angle, surcharge pressure, block block interface shear stiffness and reinforcement stiffness input parameters.

Keasar and Levitt [10] generated decoy set for 14 small proteins with different folds using random sampling of conformational space with subsequent local energy minimization.

In one (Rat 4), this shift barely meets the criterion for statistical reliability and was not replicated when the rat was retested using random sampling of pulse frequencies and prices (Fig. 11b).