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Using the primary datasets reduces potential sources of errors introduced when compiling data from published studies that may have used different methods of data extraction and aggregation.
The primary datasets used in our study are USENET discussion groups available through Google (http://groups.google.com).com
But, if the primary datasets were genotyped on a different platform, imputation is necessary.
GDP collected the primary datasets.
Within the primary datasets, cases were limited to unique individuals.
GCT, TMC, TMK, GKH, PDRJ and BCM collected the primary datasets.
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These studies may, therefore, have been excluded from the primary dataset by the search procedure.
As demonstrated by Grubbs, the data contained in a real-world database goes far beyond the primary dataset (names, addresses, …).
For vROCS screening we used the 5000 molecules as the primary dataset and screened the dataset using the Glide XP docked pose of compound VIII.
To investigate the spatial temporal changes in the water table, the observation wells with measurement dates were used as the primary dataset.
All experiments are implemented by first optimizing the methods using the development data and then testing with fivefold cross-validation over the primary dataset.
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