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Although the radio data also have systematic errors, the Harper solution combines the datasets in the hope of mitigating such errors.
MolClass combines the datasets to generate a computational model for each screen submitted (Fig. 1B).
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Both studies included strain 493-89 and we combined the datasets from these 2 studies.
Combining the datasets resulted in 280 differentially expressed genes.
There was never an intention to combine the datasets.
Next, to compare populations in the two datasets directly, we combined the datasets.
To combine the datasets, the German data was temporarily converted to completed weeks.
Combining the datasets was necessary in order to achieve the necessary sample size for mean comparison tests to be meaningful.
Combined, the datasets provided 9,048 years at risk (median of 7.4 years at risk) and a total of 384 events.
Combining the datasets in meta-analysis requires that they have similar expressions, both in magnitude and individual variability.
Data fusion combines the two datasets into one single database.
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