Sentence examples for methodologies that perform from inspiring English sources

Hyper-heuristics are emerging methodologies that perform a search over the space of heuristics in an attempt to solve difficult computational optimization problems.

The use of ensemble modelling for causal orientation is motivated by our empirical observations that there is no single causal orientation methodology that performs perfectly (i.e., with 1.0 accuracy or AUC), many causal orientation methods appear to perform different than chance, and causal orientation methods often make errors in orienting different edges.

The results of trend analysis also supports our methodology that performing clustering prior to analysis helps in identify better and useful results that we cannot obtained without using cluster analysis.

It can be considered as an evolutionary algorithm-based methodology used to find computer programs that perform a given computational task [6].

For future studies, we can describe experiments that perform system verification of our methodology using flow fields derived from phase contrast magnetic resonance imaging.

Thus the visits are rarely related one to another, which allowed us to develop a methodology that performs matching on visits, instead of matching on the full Patient Care Model.

The analysis is achieved through a novel methodology that performs a pairwise, genome-wide comparison on the cartesian product of two distinct sets of annotation tracks, e.g. all combinations of one disease and one TF.

Notably, specific methodologies have been described [ 43] that perform better with certain protein characteristics.

The great advantage of MS-HRM and dMS-HRM is that they are in-tube methodologies that are rapidly performed and do not need post-PCR processing as the melting analysis is carried out in the same reaction vessel as the amplification.

By utilizing a target enrichment methodology that is performed in a single tube and requires no mechanical shearing or purifications of individual samples, we have developed an automated NGS workflow that yields highly reproducible results across samples and operators.

To avoid these problems, more flexible methodologies that are able to perform hyper-spectral data decorrelation have to be devised.