Sentence examples for datasets are large from inspiring English sources

In "small data" (Estrin 2014), even if the datasets are large, the unit of analysis is similarly scoped as the unit of sampling.

When datasets are large in size in terms of volume and contain unstructured data, data processing and result generate take a considerable amount of time and KM-HMR makes an attempt to process faster within a reasonable execution time.

This process dramatically reduces computation time when datasets are large; however, is only valid when categorical covariates are used.

Binary intersections of the pairs of bimodal genes from different datasets are large and statistically significant (Table 2).

However, these peak sequence datasets are large and different motif finding Web tools accept the datasets with different limited sizes.

Since the gene expression datasets are large and reasonably well annotated, we can use the gene expression surrogate to test the prognostic significance of a DNA level change.

Most MHCBN allele-specific datasets are unbalanced, i.e., the numbers of binding peptides in the datasets are larger (typically by a factor of 2 to 4) than the corresponding numbers of non-binding peptides (see Table 2).

When eigenvalues of the random datasets are larger than the eigenvalues of the factor analysis, the factors are considered due to sampling error [ 28].

However, it should be noted that a typical exome data set can be around around 7 times the 13.4 million reads used here and full genome datasets are larger still.

We can see that the averages of d2 and d3 in all three datasets are larger than the averages of d1, which indicates that many TF-binding regions must contain multiple adjacent binding sites.

In addition, it is important that the number of considered cells (i.e., the network's size) in the datasets is large to include a significant number of faulty cells.