Sentence examples for datasets lies from inspiring English sources

The principal difference between the two datasets lies in the way thermal conductivity values are reported.

Therefore, the main interest of the available datasets lies in the absent/divergent genes of S. lividans whose functional annotations are sufficiently detailed to be useful in hypothesis/prediction generation, i.e. mainly the enzymes.

The major opportunities for significant performance gains and ability to handle large datasets lie in the increasing availability of multicore processors and clusters built with off-the-shelf components [26] [29], as the rate of increase in processor speed has slowed down significantly in the last five years.

This result highlights a major advantage of T-KDE compared to both the motif-based and binning approaches: regardless of whether binding is direct or indirect and whether an adequate motif model is known, T-KDE accurately estimates the locations of constitutive binding sites by identifying genomic regions where the centers of ChIP-seq peaks from multiple datasets lie in close proximity.

In the approach by Knorr and Ng [27], an object in a dataset is a distance-based outlier if at least a given fraction of the other objects in the dataset lies at a distance greater than some given threshold.

We adopt the notion of distance-based outliers proposed by Knorr and Ng [27] for data-mining applications: "An object in a dataset is an outlier if at least a fraction of the objects in this dataset lies in a larger distance from this object".

The robustness of our dataset lies in the application of strictly standardized and synchronized phenotyping which minimized environmentally-induced phenotype variations and allowed reliable comparisons between strains and conditions for multiple phenotypes.

Unfortunately, this limitation, which essentially relates to a poor phylogenetic signal in our dataset, lies at the heart of the intra-specific approach and is likely to represent the most severe hindrance to studies of this type.

We feel that the strength of our dataset lies in the superior performance of our mass spectrometers and their high mass accuracy, the stringency of our validation criteria, and the homogenous manner in which our data were collected and validated.

Although it is instructive to compare the macrosequence differences between the two S. lividans strains, and S. coelicolor much of the interest of the present dataset lies in the fine detail afforded by the high density coverage of the genomes, as exemplified above in the case of the CDA Asp-activating adenylation domains.

This would also mean that the 75% of the values in the dataset lie below Q3 and the rest 25% lie above Q3.