Sentence examples for are designed for datasets from inspiring English sources

We emphasize that quasispecies estimation tools are designed for datasets of much higher coverage and diversity, and thus optimize criteria and utilize parameters specific to those applications.

Existing epistasis detection algorithms are designed for dataset consisting of homozygous markers and small sample size.

The first method is designed for datasets that are similarly spatially distributed and is based on the Kolmogorov-Smirnov test and quantile regression.

Almost all subspace clustering algorithms proposed so far are designed for numeric datasets.

The Par-MC-SGD, mpi-Par-MC-SGD algorithms are designed for large-scale datasets, so we have evaluated the performance of our approach on the three following datasets.

Other methods are designed for two-species datasets, although a recent report (MultiParanoid [37]) employs a single linkage clustering on Inparanoid results from all possible bi-species comparisons to group proteins across multi-species dataset (in order to prevent the inclusion of out-paralogs, MultiParanoid is only employed for closely related species).

The simulated datasets are designed for public health officials to select a dataset that best reflects their data of interest or the type of outbreak they are anticipating to determine which method provides them with the sensitivity and specificity they would find useful.

Finally, simulated datasets are designed for the different comparisons and the model is illustrated using the real data.

PETS'2000 [49] and PETS'2001 [50] datasets are designed for tracking outdoor people and vehicles.

Most meta-GSA approaches are designed for the limited case, where datasets have matched samples or features (Montaner and Dopazo, 2010; Tyekucheva et al., 2011).

CEP, Ellipro, SEPPA, PEPITO, DiscoTope, and Epitopia are constructed for identifying B-cell epitopes from bound dataset, while the rest are designed for identifying B-cell epitopes from unbound dataset.