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By the types of the integrated data, the integration processes could be roughly divided into two categories.
One challenge of systems biology is the integration of new data into the preexisting, and then re-interpretation of the integrated data.
The EMS first realized the process data acquisition and integration, second fulfilled the on-line energy information calculation from the integrated data.
Our approach can serve as a paradigm for integration of new omics data into preexisting databases and analysis of the integrated data.
However, the integrated data retains the licensing of the original data sources.
Discrete-cosine-transform (DCT) is used to process the integrated data from MLE or soft-max.
By analyzing the integrated data, the protection algorithm unit calculates and outputs fault judgment results.
Through detailed inspection of the integrated data, so called IAM KPIs may be defined acting as thresholds for normal behavior.
The paper, after providing a comprehensive set of system requirements toward addressing such problem, presents formal methods for the verification of security policies specified for the integrated data.
Often the data is stored in the form of materialized views in order to provide fast access to the integrated data.
However, for the current version, we selected one representative model per locus based on the information available from rice genome annotation project (RGAP) database (Ouyang et al. 2007) that could provide a simplified and comprehensive visualization of the integrated data.
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