Sentence examples for sample and random from inspiring English sources

RNA was harvested using the Qiagen RNeasy kit at 48 hours post siRNA transfection for RT-PCR analysis: The cDNA synthesis was performed with the SuperScript III reverse transcriptase system (Invitrogen) using 2 µg of total RNA from each sample and random hexamers as primers.

The point estimate was higher than has been found in other air pollution studies [ 17] but the small sample and random error must be considered in the interpretation.

Our sampling strategies included a newborn-only sample (to estimate N b ), a sample with equal representation from each of the age classes (e.g., 20 individuals sampled from each of five age classes), a random mixed-age sample, and random samples of only reproductively mature adults.

Besides, considering an extreme case, if f s and f θ are co-prime, which will introduce much randomization, whose randomness of sampling is between uniform sampling and random sampling.

Periodic nonuniform sampling introduces enough nonuniform to differentiate the frequency band of the received signals, whose randomness of sampling is between uniform sampling and random sampling.

But sampling and random events affect both earlier and later scores, compounding the inaccuracy.

In order to verify the accuracy of the qPCR system, known genotype samples and random samples are employed.

We compared two sampling techniques (systematic sampling and random sampling) and four intensities for each technique to investigate the driving patterns underlying the changes using multinomial logistic regression.

This view entails that random sampling, and random outcomes in chaotic dynamics, and random mating in population genetics, etc., are not in fact random, despite the plausibility of their being so.

Our results show that compared to simple random sampling and random balance design sampling, sensitivity indices (ratios of partial variances to variance of a specific model output) estimated by search-curve based sampling generally have higher precision but larger underestimations.

In this paper, we theoretically show that FAST analysis can be used to estimate partial variances contributed by both main effects and interaction effects of model parameters using different sampling approaches (i.e., traditional search-curve based sampling, simple random sampling and random balance design sampling).