Sentence examples for compact dataset from inspiring English sources

Exact(1)

Thus, the generation of a core network for physiological cardiac hypertrophy reduces the initial number of genes to just over a thousand and consequently allows the further study of a more compact dataset, based on topological feature detection.

Similar(59)

This study shows that aggregated methods provide simple compact datasets yet give results that differ little from individual-level analyses.

This finding implies that with the currently small dataset, compact linear models should be preferred over non-linear models with many parameters.

Three major components were reconstructed, including 1) the annually averaged Land Surface Temperature (LST) for determining the relative temperature across a compact city; 2) 3D building datasets for representing the building morphology; and 3) sets of urban morphological data derived from building datasets for analyzing microclimate and thermal distress.

A phylogenetic data store has the advantage of collapsing potentially enormous raw sequence datasets into compact files capturing the inferred evolutionary history of studied taxa (Ané and Sanderson, 2005).

In view of the planned use of this platform for biomolecular simulations, additional requirements follow from the needs of high-performance computing on big datasets: An ActivePaper should support large datasets by ensuring compact storage and high-performance data access.

An ActivePaper should support large datasets by ensuring compact storage and high-performance data access.

In order to further compact and properly join the datasets, multiple probes treatment was then performed to cluster probes from the same gene (hierarchical clustering, cutoff height =0.6).

This mapping procedure enables a compact linear representation of the input dataset.

The algorithm is computationally efficient and is advantageous on a dataset that consists of compact and well-separated clusters [8].

In order to select the most accurate and compact set of features from each dataset, a multivariate search strategy was performed using Least Absolute Shrinkage and Selection Operator LASSOO) [ 37].

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