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The data mining and functional interpretation of datasets to access biologically interpretable results pose many analytical challenges, which have been recently reviewed by Kumar and Mann (2009).
The gene description, GO annotations were retrieved for each of the DEGs and were used for downstream interpretation of datasets.
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The multi-omic profiling required for full analysis would generate a very large, complex dataset, and biologically meaningful interpretation of such datasets requires use of powerful systems biology techniques for integrating multidimensional information into networks [ 4].
Batch culture systems are also used to obtain systems-wide datasets, but because environmental conditions and growth rate are constantly changing, the interpretation of these datasets and comparison with other results is complicated [ 2- 4].
In addition, metallic topsoil debris, scattered over different parts of the Stonehenge landscape, often impacts the interpretation of geophysical datasets.
Finally, the use of open source software tools for interpretation of these datasets will be discussed.
Its application is often intended to help interpretation of multivariate datasets.
By simplifying the analysis and the interpretation of computational datasets containing thousands or millions of hypothetical compounds, these methods will be crucial to unleash the full potential of computational materials design.
Modern healthcare systems frequently demand what has been called hyper-efficient radiology, where almost instantaneous interpretation of large datasets by radiologists is expected, often in patients with multiple co-morbidities, and sometimes for clinicians whose in-depth knowledge of the patients is limited or suboptimal [35].
All authors contributed to interpretation of both datasets.
TML contributed to the interpretation of the datasets and the writing of the manuscript.
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CEO of Professional Science Editing for Scientists @ prosciediting.com