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With the advance of simultaneous PET/MR data acquisition and multimodality data integration schemes, the prospect of CEST and PET imaging as complementary data streams is not unrealistic.
We assessed those data integration schemes for fine mapping by quantifying the ability of each method to reproduce known functional associations between genes.
However, as other data integration schemes, it presents a big challenge to develop an effective and comprehensive method for cancer classification.
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In response, some research groups propose a number of data integration and affinity scoring schemes and construct various weighted networks.
To address this issue, a number of data integration and affinity scoring schemes have been devised to get a weighted PPI network.
In order to reduce the impact of such discrepancies, a number of data integration and affinity scoring schemes have been devised.
In order to address that particular question, a number of data integration and affinity scoring schemes have been devised [ 10, 23– 30].
Based on inverse learning and data fusion theory, two simple and intuitive integration schemes are proposed to integrate linguistic and numerical information with various forms, such as direct and indirect.
Using common URI schemes assists data integration with RDF.
SJH contributed to the development of the outcome taxonomy, and to the development of the data integration table format and assessment scheme.
RER developed, piloted and applied the data integration table format and assessment scheme to published reviews coordinated by the Cochrane Consumers and Communication Review Group.
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