Sentence examples for dataset retrieval from inspiring English sources

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To avoid this overhead, the dataset RDF/XML serialization was re-implemented to use the Streaming API for XML (StAX) [37], resulting in reduced response time of dataset retrieval (2-10 timprovementement, depending on the size of the dataset).

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Subsequently weighted protein-protein interaction network of the pathogen was constructed by using a dataset retrieved from Search Tool for the Retrieval of Interacting Genes/Proteins (STRING) database.

For example, the proportion of sequences in the low copy combined fraction using the first approach (query of trimmed datasets and retrieval of hits with bit score >40) was [(245+390) / 3409] = 0.19.

This paper presents the overall design and development of the Data Atlas, its associated dataset indexing and retrieval services that originated from the development of the N4U Virtual Laboratory in the EU FP7 N4U project in the light of detailed user requirements.

The SLR method performs the best on this dataset, showing excellent retrieval even for small-effect SNPs.

MHD performed the dataset identification and retrieval, programmed the method in the R environment, performed pathway analysis and validation, and drafted the manuscript.

A tomato-potato Global Match File was generated for the interpretation of various aspects of the heterologous dataset, including the retrieval of best matching potato counterparts and annotation, and the establishment of a core set of highly homologous genes.

We extend our recent benchmark for testing canonical form algorithms. Our new benchmark is used to evaluate a greater number of state-of-the-art canonical forms, on five recent non-rigid retrieval datasets, within two different retrieval frameworks.

Furthermore, the orientation attributes of the local features are provided in most popular large-scale image retrieval datasets, such as Holidays [19] and Oxfor5K [17].

For standard tomographic datasets, the phase retrieval time becomes larger than the reconstruction time, although it is less than 2 min even for the large sensor case (Highres).

It involves a systematic search for proper datasets and data retrieval, filtering, reprocessing, integration, and analysis [ 45].

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