Sentence examples for samples with considerable from inspiring English sources

Cousinia (Asteraceae) pollen was found in all samples with considerable values in one sample indicating its importance in the glacial landscapes of the Zagros Mountains.

In our work we have analyzed different stratified rockwool samples, with considerable differences regarding density, mean pore diameter, and porosity, by means of a new method for the measurement of the dynamic flow resistance based on the electrical analogy.

A study comparing the metabolome of breast cancer samples and normal specimens identified the malignant samples with considerable sensitivity and specificity [78].

Yeung et al. (2006) reported a mean concentration of 52.76 ng/mL from 85 Chinese samples with considerable differences between nine cities (ranges of means between 3.7 and 79.2 ng/mL).

Nevertheless, analysis by the ITT principle in a sample with considerable non-compliance cannot demonstrate how an intervention affects the individual who complies with the allocation, since assessment will be diluted by the data from participants who do not receive the intervention to which they were randomly allocated [ 18].

In an educational context, students who opt to take courses in which they are given the option of obtaining personal genomic information free of charge are likely to be a highly self-selected sample with considerable interest in getting their genomes sequenced at baseline.

MRP mRNA was widely expressed and detectable in all samples analysed, with considerable (up to 190-fold) variation observed between individual tumour samples.

We have shown, using simulated samples and dilution series of cancer celllines, that MixHMM is significantly more accurate in detecting CNV in samples with a considerable proportion of stroma.

In a very recent publication, Sun et al. [19] have addressed the problem of stromal contamination, but the CNV assignment is inaccurate in tumor samples with a considerable proportion of normal stromal cells (see results).

Samples with a considerable high ERG expression (48 samples; > 9.2) were labeled as fusion-positive, whereas tumor samples with low ERG expression (72 samples; < 8.0) were marked as fusion-negative.

This is particularly relevant since MVS analyses work best with low stochastic noise (hence relatively long sequences), diverse taxon sampling with a considerable proportion of taxa showing minimal convergent evolution, and minimal bias of the input distances from sources such as missing data.