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The system then processes the datasets and user input to build a hapmap.
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To identify differentially regulated processes the dataset was filtered for functional categories enriched (p<0.005) in one or two depots while being less enriched (p>0.1) in the other depot(s).
ArcGIS 10 was used to process the datasets and to create the groundwater vulnerability map by overlaying the available data.
As expected, the datasets with context variables (3, 4, 7, 8) were computationally more expensive to process, the datasets without context variables (1, 2, 5, 6) reported less runtime difference.
In this process, the datasets are first divided into small segments, and classification algorithms are applied on an increasing number of segments until the identification score reaches a pre-defined threshold of satisfaction (ideally 100%).
AM carried out SAM analysis on the array data and processed the datasets.
To process the datasets, we used alternative CDFs from AffyProbeMiner [ 23].
Finally, Figure 8 shows the execution times (in minutes) required by each version of HPG-Methyl to process the datasets.
Figure 6 shows the execution times (in minutes) required by each version of HPG-Methyl to process the datasets.
Some tools process the datasets from only one RNA sample at a time because of their limits on parallel processing.
We processed the datasets using methods similar to that in [ 12], with the exception of not collapsing microbes into correlated groups.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com