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It is also a data mining task in some real-world applications.
It is also a data service, which means that it can only transmit data.
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It is also a fundamental data for the evaluation of a reservoir riparian zone eco-environment.
Not only does this DMD data set contains batch effects, it is also a cross-platform data set.
It is also a problem when data are derived from a single source at different time points because of the changes and updates of gene and protein names.
This way of data collecting has already been used in this field of research and enables not only a high rate of data response, it is also a feasible way of collecting qualitative data [ 5].
It is also a shortcoming that various anthropomorphic data and details of illness severity scores were not collected, as these have been shown to impact on baseline IAP.
It is also a very useful basis for data-driven retrieval in heterogeneous collections of gene expression studies, and meta-analysis in general, as it addresses issues such as inter-platform incommensurability.
Finally, epidemiology is not only a way to gain further data; it is also a very effective educational tool for both investigators and study participants.
It is also a resource-intensive method of collecting data that relatively few would be able to undertake as part of their routine quality monitoring activities, let alone keep up to date.
But it is also a shining example of how health-care data can be used to spot problems fast.
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