Sentence examples for considerably smaller datasets from inspiring English sources

Previously miR475 and miR476 predictions were based on the considerably smaller datasets of [ 20, 21] and had not been well characterised.

Previous, contradictory suggestions that Mal3 selectively binds to the seam were based on lower-resolution data from considerably smaller datasets and from more heterogeneous GDP microtubule samples (des Georges et al., 2008; Sandblad et al., 2006).

Using about 9 dimensions we can represent the same information (reducing the noise) and obtain very high precision in classification with a considerably smaller dataset.

Repeat subclasses that showed strong correlation when calculated from the human reference also did so when using the mouse reference – despite the considerably smaller dataset resulting from use of the mouse reference.

The graph clearly shows that the smaller datasets perform considerably worse.

We observe that the MASCOT score of the non-preprocessed data (586 for BSA, 224 for ADH and 588 for TRF; see rows with n = 0 and s = 0%) is considerably smaller than that of the cleaned datasets (often, by a factor of 2-5) regardless of the severity of data pre-processing.

Thus, when η 1 is considerably smaller than 1/n, where n gives the smallest number of bnodes in the datasets, in the worst case, the time complexity of the algorithm is O(n 2).

We note that for smaller datasets (a simulation with 50 cases and controls), though sensitivity drops considerably (15.06% in our simulation using a cutoff of -40 posterior odds), the high specificity is retained (99.95%).

The number of epitopes with high capacity is considerably lower in small datasets than in large datasets.

Results demonstrate that performance of estimated multivariable associations considerably improves for small datasets where external evidence is included.

So the payoffs feel considerably smaller.