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Schreurs, A. M. M., Xian, X. & Kroon-Batenburg, L. M. J. EVAL15: a diffraction data integration method based on ab initio predicted profiles.
In this study, an efficient data integration method for developing hydrogeological conceptual model of the large and hydrogeologically-complex, Central Kalahari Basin (CKB) aquifer system, was undertaken.
The data integration method is parameterized by and.
The data integration method is illustrated in Figure 2 for the case of two additional data sources with parameters,,, and.
Firstly, we have developed a new data integration method for TF target gene prediction from multiple data sources.
In the above genome-level data integration method there are ( is the number of additional data sources) weighting parameters, and one threshold for emphasizing the most informative binding locations.
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Finally, the DIR algorithm has a very good performance among multiple data integration methods, which also integrates different networks separately.
At the same time, the field of metabolic modeling is now approaching the level of maturity necessary for several data integration methods to be used together as components in integrated model reconstruction and refinement strategies.
The new NIH-funded project, titled spatio-temporal data integration methods for infectious disease surveillance, aims to develop statistical techniques for integrating complex data from multiple surveillance systems, providing critical insights into how surveillance systems function and leading to key advances in surveillance informatics.
The new NIH-funded project, titled spatio-temporal data integration methods for infectious disease surveillance, aims to develop statistical techniques for integrating complex data from multiple surveillance systems, provide critical insights into how surveillance systems function, and lead to key advances in surveillance informatics.
The SEEK approach complements existing data integration methods for persistent sharing of information.
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