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That task has been taken up, however, in a recent strand of literature by researchers who have meticulously invested in merging different data sets to connect the dots.
Concordantly, the increasing amount of data from 'omics' technologies imposes to develop integrated databases merging different data formats coming from distinct but complementary sources.
A unique strength of the DHP tool is that it brings together data from multiple sources, which increases availability of data and saves data users significant time that would have been spent retrieving and merging different data sets.
Such an integrated approach, based on merging different data sets, could also create broader and more detailed insight into the nature of the disease than can be achieved using one individual approach.
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An important property of this theory is its ability to merge different data sources in order to increase the information quality.
The fuzzy homogeneity vector is used to determine the fuzzy region in each primitive colour, whereas, the evidence theory is employed to merge different data sources in order to increase the quality of the information and to obtain an optimal segmented image.
Therefore, it is necessary to take the second approach, that is, to merge different data sets.
In particular, progress in our understanding of the genetic architecture of common diseases requires efficient methods for merging different types of data and exploiting them simultaneously.
The program BioMercator [ 47] allows merging different individual genetic maps even without the availability of raw genotyping data.
We assembled a unique data set, with 242 publicly-traded companies, by merging three different data sources in an emerging market — China to test our framework.
Such combination of neural and biochemical measures raises not only technical issues, such as merging the different data sets, but also several methodological issues.
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