Sentence examples for sample can reduce from inspiring English sources

Dilution of the sample can reduce the donor variability, however this dilutes the drug of interest and therefore requires the device to have greater sensitivity.

Limiting sequencing depth to 10 million reads per sample can reduce the costs and can help the biologists to sequence more replicates.

Using gene expression microarray and HR MAS MRS data from the very same tumor sample can reduce the biological variance which gives a higher power to study the transcriptional and metabolic levels in a combined approach.

Despite the high coverage depth generated, the low tumor cell content and overall level of gene amplification in a sample can reduce the sensitivity of this approach, as illustrated by a false negative Her2-amplified sample, which had low in situ hybridization ratio (2.8) and 50% tumor cell content.

Predicting soil properties through visible and near-infrared (Vis NIR) spectroscopy by a limited number of calibration samples can reduce the cost and time for physic-chemical analyses.

We demonstrate that individually assessing and minimizing specimen collection aspect, height and mass prior to aggregating specimens into samples can reduce local variation, which will improve between site comparisons.

Larger experiments with more samples can reduce the error rate (Edenberg et al. 2005; Rabbee and Speed 2006).

Fourth, Safe Harbor does not take into account the sampling fraction - it is well established that sub-sampling can reduce the probability of re-identification [ 40- 46].

While smaller samples can reduce statistical power it is still possible to detect significant differences when the effect size is sufficiently large, and a number of statistically significant differences were observed.

We found that avoiding PCR amplification artifacts, normalizing to input RNA or mRNAseq, and defining the background model from control samples can reduce the bias introduced by RNA abundance and improve the quality of detected binding sites.

Previous studies have observed that a mismatch of population origins between reference panels and study samples can reduce imputation accuracy compared with when they originate from the same or similar populations (Huang et al. 2009, 2011; Li et al. 2010; Paşaniuc et al. 2010; Shriner et al. 2010; Surakka et al. 2010).