Sentence examples for dataset were generated from inspiring English sources

Five replicates of each dataset were generated and analyzed with a generalized prior (g-prior) of varying weight.

Moreover, the induced signals for the test dataset were generated using an independent forward solver in the frequency-domain, introducing an additional source of discrepancies in forward modelling.

To assess statistical significance, 1000 repetitions of the benchmark dataset were generated by randomly shuffling the order of the assays and repeating the procedure described above.

The stereo image pairs in this dataset were generated using a structured lighting system, and were meant to present new challenges for the next generation of stereo algorithms.

To assess statistical significance, 1000 repetitions of the benchmark dataset were generated by randomly shuffling all components of the dataset (i.e. the order of the molecules, the set of neighbours) and repeating the procedure described above.

From 1 cluster (for the ERR_alpha_agonist, ROR_gamma_antagonist, and RXR_gamma_antagonist datasets) to 65 clusters (for the ER_alpha_agonist dataset) were generated, with an average of 18 clusters per dataset and a mean value of 7.8 ligands per cluster.

The synthetic dataset is generated by LinkBench and the graph database benchmark published by Facebook [1].

For this test, a synthetic dataset was generated from 81 Hungarian Datum points.

The ABi transcriptome dataset was generated with an iterative mapping approach.

The GC-TRFLP dataset was generated to examine the microbial community of grass rhizosphere soil [30].

The synthetic dataset was generated using the methods of Laan and Pollard [18].