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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%).
To process the datasets, we used alternative CDFs from AffyProbeMiner [ 23].
Some tools process the datasets from only one RNA sample at a time because of their limits on parallel processing.
Finally, Figure 8 shows the execution times (in minutes) required by each version of HPG-Methyl to process the datasets.
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Commonly applied extreme value (EV) methods are then used to process the dataset produced.
They discovered that the performance efficiency increased (it took less time to process the dataset) as they increased the number of Hadoop-based nodes.
At the end of this filtering process, the dataset comprised 435,889 probes measured in nine ALHs (BD n = 5; MDD n = 4), ten ULHs and eight MIs (Additional file 1: Table S1).
As the datasets are contiguous with a variable amount of overlap between them, we process the dataset stack by stack to form a montage by using the normalized cross-correlation measure to determine contiguous stacks and the extent of overlap between them.
AM carried out SAM analysis on the array data and processed the datasets.
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