Sentence examples for robust validation of from inspiring English sources

The outpouring of affection for the 76-year-old sovereign was seen as a robust validation of the monarchy as a symbol of nationhood.

The results of each of these types of assessments provided robust validation of the 3D pharmacophore.

The robust validation of this model over an area of 18,000 km2 in the lower Rio Negro catchment has demonstrated its capacity to map expansive environments using only remotely acquired topography data as inputs.

Roche's recently announced acquisition of the oncology data company Flatiron Health for $2.1 billion represents a robust validation of the much-discussed but infrequently realized hypothesis that technology entrepreneurs who can turn health data into actionable insights can capture significant value for this accomplishment.

Therefore, it is important for each lab to demonstrate a robust validation of their clinical NGS assays.

It is, however, clear that robust validation of novel CRC predisposition loci is required to avoid spurious testing.

The challenges moving forward include robust validation studies, standardization of technical approaches, standardization and further development of analytical algorithms, and large-scale collaborations.

The challenges ahead include robust validation studies, standardization of technical approaches, standardization and further development of analytical algorithms, and large scale collaborations.

There is a need to develop a set of robust validation procedures that can identify and highlight missing or potentially erroneous elements of metabolomics experiments using an 'inspector tool', not only to visualize the raw files but to ensure the quality of publicly available metabolomics data.

Method validation constitutes a crucial component in biomarker research, and it is often the case that a biomarker can fail in the clinic not because of the underlying scientific rationale but rather from poor assay choice and lack of robust validation (Pepe et al, 2001; Bast et al, 2005; Wagner et al, 2007).

The initial set of models were, robust validation scores notwithstanding, either unable to recognize any of the structurally different actives they were challenged with, or else tended to predict any molecule outside the training set as active.