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Therefore, besides being very important to have common test datasets, the development of universal and objective measures, which are specific for SBD and can be applied in different content domains and 3D video formats is highly recommended and desired.
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We used three datasets for the development of noncoding RNA predictions- (i) main dataset, (ii) independent dataset and (iii) CONC datasets.
In some ways this represents a classic chicken-and-egg problem as the lack of datasets inhibits the development of methods, and the lack of suitable methods makes the collection of adequate datasets a risky and expensive endeavour.
Many organizations such as Food and Agriculture Organization (FAO) and United Nations are making RS datasets from earth-observing satellites freely available for researchers through the Internet following increasing recognition that these datasets facilitate the development of powerful tools for disease control [ 11- 13].
The curation of PHYSPROP datasets and the development of the OPERA models were part of the CompTox Chemistry Dashboard project [84].
within these massive datasets requires the development of sophisticated and efficient computational models.
In turn, large-scale datasets require the development of tools and methods to handle and analyze these data adequately.
In the meantime, we rephrased the Discussion accordingly ("Finally, accurate prediction of NESs has been difficult are the training/testing datasets for the development of our next generation NES predictors).
The currently established modular scheme of data presentation and wizard-like querying interface create an environment that guarantees further expansion toward the assimilation of new datasets and the development of novel visualization tools.
These functional genomics studies have underlined the importance of high-quality "-omics" datasets and the development of integrative and standardized system for their comprehensive analysis, such as the VirHostNet knowledgebase dedicated to virus-host protein-protein interactions [ 8].
And as this article has made clear, the availability of large datasets and the development of new methods with which to analyze them have already produced dramatic changes in how the microbial world is understood, and its relationship to the rest of the biological world.
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