Sentence examples for sample computational from inspiring English sources

Sample computational results are shown to illustrate the capability of selected methods.

Some sample computational results are presented, and compared with the predictions of linearized theory.

If multiple haplotypes are present within the enriched sample, computational and statistical methods can be used to detect and resolve the composition of mixed infections, a level of pathogen diversity often ignored when using pathogen cultures or multi-locus genotyping with Sanger sequencing [ 25, 44, 50, 51].

CR works with random sampling computational algorithms and uses different light maps to generate a realistic depiction of medical data.

Due to the limitation of labeled training samples, computational complexity, and other difficulties, active learning (AL) algorithms aiming at finding the most informative training samples have been an active topic of research in remote sensing image classification in the last few years.

Although this method still needs to be further modified to be more widely applied to complex real metagenomics samples, computational method developers can influence in their refinement.

These studies have been accomplished through shot-gun sequencing of cDNAs obtained from size-fractionated RNA samples, computational prediction from genomic data, or a combination of both [ 26].

This is also the case in post-marketing drug safety surveillance, where the discovery process typically relies on large samples; computational signal detection algorithms have in this context been developed to analyze data with the purpose of detecting signals of potential ADEs [ 17].

The generally consistent accuracy of these predictions supports our hypothesis that highly sampled computational modeling is able to filter out such inconsistent constraints, as has been observed in prior macromolecule modeling based on pairwise information (Bowers et al., 2000; Das et al., 2008; Thompson et al., 2012).

A sample of computational findings was initially presented in Chawynski et al. (2003).

After formally defining the theory revision task, this paper provides both sample and computational complexity bounds for this process.