Sentence examples for latter application of from inspiring English sources

This latter application of XCMS can reveal metabolic insights that are not gained by standard untargeted metabolomic approaches that only use unlabeled samples.

Its role in detecting sub-clinical disease remains to be determined and may include screening of subjects at high genetic risk of breast cancer; the latter application of DCE-MRI is the subject of several ongoing clinical trials.

This latter application is of particular importance in the era of large scale genome wide association studies, when collections of individuals genotyped at different locations are being merged to provide increased power.

In this article, we give a specific example of the latter application, and a quick summary of some of the myriad other genetic and biotechnology applications of site‐specific recombination.

The latter application will be of value both in nanomedicine and in more refined studies of cell fate.

As for this latter application, the results of our investigations on SWCNH suspensions show that they can be promising, especially when they are compared to absorber materials currently used in liquid phantoms, i.e., Indian inks [17].

This result is not in contradiction with the use of the H/V spectral ratio for isolating the resonance frequency of soft deposits: the latter application is just the interpretation of a point (or a small subset of points) of the whole statistical distribution.

Yet for the latter application, however, larger cohorts of patient studies and prospective investigation on the correlation of AEG-1 mRNA or protein in blood, urine and biopsy samples with clinical characteristics are urgently needed.

Considering the importance of the latter application, the present work shows the results of four-point bending tests on fifteen small scale glulam specimens, reinforced with glass (GFRP) or carbon (CFRP) cords, varying the kind of adhesive (epoxy resin or melamine glue).

For this latter application, the central carbon flux of K. lactis was diverged from the production of ethanol to enhance lactate production.

In the case of the latter application, numerous experimental results on benchmark machine learning datasets show that our approach exceeds the performance of current state-of-the-art methods, while requiring a fraction of the computation time.