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Query level: Finally, querying interoperability comes into play when one does not want to merge the data for simply solving a question for which multiple datasets are needed.
In the scenario where multiple datasets are available that initially appear to be related to the target domain of interest, it is desired to select the datasets that provide the best information transfer and avoid the datasets that cause negative transfer.
Therefore, a world data commons where multiple datasets are available can facilitate this fundamental need.
The QTLs, which have been identified as shared by all camptothecins and replicated across multiple datasets, are of considerable interest; they harbor genes related to the shared mechanism of action for the camptothecins, which are responsible for variation in response.
Third, multiple datasets are usually analyzed separately.
It is called multiple imputation because multiple datasets are created, analysed, and then combined to get the final results.
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Multiple datasets were then integrated to obtain a list of taxa that are harvested by recreational fishers within the AR area.
When multiple datasets were encountered containing data for different time periods, sets containing information close to the year 2010 were given priority, in order to match the most recent census year.
The multiple datasets were compared through visual inspection of both global and local areas, and the effectiveness of each system for dealing with this type of object was subjectively assessed.
Batch running of multiple datasets is also fully supported.
An integrated scoring method that uses multiple scoring criteria with multiple datasets was also reported recently to predict DDIs [16].
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