Sentence examples for datasets created by the from inspiring English sources

Datasets created by the community, for example, the ones described in the section "Data sources", serve for different purposes and are thus not always meant to be formally analyzed or combined.

METANNOGEN does not necessarily require a central data storage since all datasets created by the investigator are stored locally.

Missing values were computed using multiple imputation with 25 complete datasets created by the Markov chain Monte Carlo method [ 29], incorporating all baseline covariates and injury outcomes.

Specifically, diagnostic plots were created for the stage II datasets created by the application of the RMA, threestep, and MAS preprocessing algorithms to the raw data.

Examples of the linear and exponential growth modified probability distribution estimations for date distribution are presented in Figures 1 and 2. Semi-synthetic datasets created by the cluster generator fall within a specified set of parameter-based boundaries.

The data for Riyadh were sourced from the 2008 survey dataset, created by the MOR; and for Melbourne the data were sourced from the Department of Transport DOTT), Melbourne, Victoria.

The LEHD is a longitudinally linked employer-employee dataset created by the U.S. Census Bureau as part of the Local Employment Dynamics federal-state partnership; see Abowd et al. (2009).

Extensive experimental results on the dataset created by the authors, involves 673 images collected from 11 different scenes, demonstrate that the proposed method eliminates a large percentage of the false alarms produced by the HOG pedestrian detector.

To simulate the real-world clinical application of genomic studies, two independent populations of patients for each dataset created by the MAQC Consortium or by the original researchers are retained in this study as the training and validation sets.

This dataset is a synthetic spike-in RNA-Seq dataset created by the External RNA Control Consortium ERCCC) [ 25], which is designed to develop a set of RNA standards and includes 96 spike-in transcripts.

To demonstrate a possible application of RidgeRace integrating phenotypic and genotypic data, we studied an ovarian cancer dataset, created by the Cancer Genome Atlas research network and recently analyzed with network-based stratification (Hofree et al., 2013).