Sentence examples for set owing to from inspiring English sources

Cell types were sometimes poorly recognized for the CF-Kidney data set, owing to the high variability of the nomenclature and the presence of gene expression in its contents, such as 'NCAM+NTRK2+ cells' or 'Gata3−/Ret− cells'.

That is, A Ω is a compact set, owing to the fact that A = T F and B = F Ω. Hence, A is a compact operator.

The hesitant fuzzy set is a useful generalization of the fuzzy set that is designed for situations in which it is difficult to determine the membership of an element to a set owing to ambiguity between a few different values.

A single crystal may degrade too much during the collection of one data set, owing to radiation damage; in such cases, data sets on multiple crystals must be taken.

It is thus much more likely that we should find close linkage in the expanded set compared with the original set, owing to the non-random nature of the addition to the data set.

While bone scintigraphy reliably allows the distinction of cellulitis from osteomyelitis, it is rarely used as the first line imaging modality in the emergency setting owing to the unavailability of radioisotopes at night, prolonged scan time and poor soft tissue delineation.

The performance of a predictive model may suffer when applied in clinical practice compared with testing in derivation or validation data sets owing to differences in the patient population and case mix.

Whether ultrasound-guided central venous access should be part of routine practice remains an issue of considerable debate [ 47- 50], but this argument has been virtually resolved in the critical care setting owing to the elegant work of Karakitsos and colleagues [ 51].

Analogous to the simulation study, the prediction error estimates increased with larger test sets and thus smaller training sets owing to deteriorated regression vector estimates.

The difficulty is that traditional matrix vector multiplication style iterative methods may not always adapt well to the distributed setting owing to communication bandwidth restrictions and convergence rates.

Modeling gender more accurately is of particular interest, considering the higher prevalence of autism in males compared to females; it would be ideal to train and assess the performance of the classifier for male and female subjects separately, which was not possible for our data-set owing to the small number of female subjects.