The phrase "a sample generated" is correct and usable in written English.
It can be used when referring to a sample that has been created or produced, often in the context of data, research, or testing.
Example: "The report includes a sample generated from the latest survey results to illustrate the findings."
Alternatives: "a produced sample" or "a created sample".
Applying this correction to 2 scans of a sample generates 4 Ci point measurements that are then averaged, assuming the transformation appears reversible, to a reported value of Tc and standard measurement error.
(A ) Samples generated at different steps during biotinylation, bead labeling, and harvesting were assessed for their similarity to a sample that has undergone all processing steps (sample D), as would the starting (bead labeled) sample of the experiment.
Based on this idea, we design a novel method, differentiated representation method, which uses a mathematically tractable means to make representation coefficients on a test sample generated from a class quite unsuitable for other classes.
In the sequel, we will denote a random sample generated by our algorithm by ℛ and a native sample (biological database) by.
In 2005 Stephan C. Schuster at Penn State University and colleagues published the first sequences of an environmental sample generated with high-throughput sequencing, in this case massively parallel pyrosequencing developed by 454 Life Sciences.
For hybridizations performed on the Agilent platform, each of the 318 treated samples was labeled and hybridized against a pooled RNA sample generated from the control samples.
The other 15 arrays probed an identical reference sample generated at UC Davis which consists of pooled RNA isolated from four adults ('reference'reference
This is coupled with RNase H nicking during sample amplification, allowing detection of as few as 10 copies of noroviral RNA in a stool sample, generating a fluorescent signal visible to human eye, all in a closed reaction vessel.
Disaggregation of a tumour sample generates a large random sample of tumour cells and may elicit a more representative and relevant gene expression profile than LCM, without the need for RNA amplification.
The advantage of this metabolomics approach is that over 1,000 charged species can be detected in a single sample, generating a unique metabolic profile or readout.
