Sentence examples for well established selection from inspiring English sources

We did not directly assess how many systematic reviews in our sample called for a change in clinical practice as we assumed that all our sources (ACP Journal Club, Evidence-Based Medicine, and the Cochrane Library) highlight newsworthy and relevant evidence through well established selection processes.

In an effort to overcome these issues, researchers have applied modifications of well established positive selection methods to Anopheles immunity genes that at least partially circumvent these problems [18].

To assess the performance of the developed methodology, a detailed comparison is made with the well established LAR-based selection technique.

The benefits of staging PET scans are well established, with improved selection of patients for curative radiotherapy or aggressive chemo-radiotherapy.

SELEX is a well established in vitro selection tool to analyze the structure of ligand-binding nucleic acid sequences called aptamers.

Even though the requirement of the upstream poly(A) signal and downstream U/GU-rich region are well established, the asymmetrical selection pressure present in up to 200 nt upstream of the PAS suggests the existence of other unknown cis-elements in the upstream region that may involve signaling the arrival of PAS to the transcription complex.

Wing length was chosen as an estimate of body size in preference to estimates of mass for two reasons: first, because differences in ovariole number could contribute to differences in mass; and second, because it is well established that laboratory selection for starvation resistance results in an accumulation of lipid in flies [ 18, 19] and hence an increase in weight.

The concept that T lymphocytes are positively selected in the thymus is well established, but how this selection achieves such a repertoire has not been resolved.

Experimentally these selection functions can be implemented via fluorescence activated cell sorting (FACS) or well established genetically encoded positive/negative selection systems.

Information gain is a well established measure for feature selection in Machine Learning.

To date, well established cases of gene selection have been rare [ 2].