Sentence examples for datasets are important from inspiring English sources

Benchmark datasets are important for the validation and optimization of the analysis routes.

These datasets are important for two reasons: first, they have been used to derive both clinically relevant signatures and to investigate underlying biological processes [8], [9], [18], [20] [22], [24].

The BBSRC Data Sharing Policy [ 57] opines that bioscience datasets are important to the wider scientific community, and that re-use of data can lead to new scientific understanding.

Assigning DOIs to datasets is important.

Objective: Finding relevant datasets is important for promoting data reuse in the biomedical domain, but it is challenging given the volume and complexity of biomedical data.

The availability of common datasets is important to the scientific community.

Repeating this research on a wide variety of datasets is important.

Since the sample size is small, the use of additional datasets is important for validation of the results.

The ability to analyze multiple genomic datasets is important, as demonstrated by tools like Galaxy (Giardine et al., 2005).

The collection of ethnicity information as part of cancer datasets is important for planning services and ensuring equal access, and for epidemiological studies.

As in cattle, studying accuracy of prediction for multi-population datasets is important for species in which population size imposes upper limits to the training population size.