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We chose a nonparametric correlation technique because all datasets were non-normally distributed as determined from the Lilliefors test for normality.
Because all datasets are defined within an ontology, WINGS is able to effectively organize and constrain the use of each dataset (Fig. 1a).
Because all datasets are relatively biased towards an excess of negative cases, the MCC is a better estimator of performance than accuracy [ 6].
Because all datasets did not contain the same number of sequences, the abundances were normalized (X/1000) according to the number of Plant GoSlim annotation results in each dataset (table 5).
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We consider that this approximation can be applied to our dataset because all the boundaries relevant to the present study have been distinctly defined as sharp interfaces by previous high-resolution seismic profiling (Park et al. 2002; Moore et al. 2007; Bangs et al. 2009).
Note that there is no topological relations between different datasets because we generate all datasets in separate runs.
Because we used all datasets for analysis, we adjusted the correlation between datasets from the same study by adding the same number for each study in the subject statement of the random effects approach.
Each clustering/cluster detection method has its own strengths and weaknesses and may not be appropriate to all datasets because each dataset differs in spatial resolution (point or areal), spatial coverage (area covered by dataset) and spatial intensity (distribution of outcome of interest) (Fritz et al. 2013; Waller and Gotway 2004).
However, as shown in the previous section, it is not possible to combine all datasets because there is not a large overlap between their edges.
They are used nonetheless, because no better datasets are available.
Hence, even though the shared cache configuration is simpler to implement and is less computationally expensive because of having all the cached datasets on a single global list for cache optimisation, the design does not permit flexible allocation of cache space that would grade various sets of content according their assigned QoS categories.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com