Sentence examples for more diverse datasets from inspiring English sources

He and his colleagues hope to start analyzing more diverse datasets, such as a multigenerational one from Gambia, to investigate how selection varies across the globe.

Once these methods are applied to larger and more diverse datasets, it is inevitable that further rules will be necessary to handle molecules whose structures are not currently canonicalised.

Also, such combinations are rarer than in the cases described above, so that these situations require more diverse datasets for structure identification.

In the future, we intend to investigate these impacts against larger, longer and more diverse datasets to determine if there is a point at which increasing study duration or sample size no longer materially affects simulation outcomes.

Since phylogenies for paralogous gene families described much more diverse datasets, they were reconstructed under amino acid model LG [ 68] with C-rate variation among sites [ 69], as implemented in PhyMLv3.0 [ 70].

However, we are reluctant to disregard the p-value entirely, because as the reference signature database grows and more diverse datasets are included, the p-value may help assign phenotypes to general category (e.g., abiotic stress vs. development).

These results suggest that the strong predictive applications of proximal sensors extensively documented on mineral soils, may show similar promise for determination of a wide number of physicochemical properties on organic soil matrices, yet further exploration with a larger and more diverse dataset is recommended.

Although technically demanding, further experimental data on the ability of organic compounds to enter the bacterial cytosol would be of great utility by providing a structurally more diverse dataset for computational studies.

Application of a much larger set of inclusion criteria on a more diverse dataset left a similar number (222 cases or 13.7%).

This differs for the GC content windows that were previously proposed (Matveeva et al., 2007; Shao et al., 2006), and it could be considered more reliable, given that it is based on a larger and more diverse dataset.

This finding is potentially relevant for understanding the role of genotype diversity in the epidemiology of TB drug resistance in Uganda and elsewhere in East Africa, but calls for confirmation in a geographically more diverse dataset, among others to establish whether unrelated regional differences in genotype distribution could confound this association.