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(a) The analysis of the return ranks generated by the EPR model shows that it reproduces a pattern similar to the one observed from the empirical analysis, especially of D1.
Consider, for instance, the different percentile ranks generated by an image speed of 6.5°/s traversing distances of 1°, 2° 3°, 5°, and 7° on the retina (Figure 7A).
Table 5 shows the Spearman correlation between ranks generated by observed mortality and ranks generated by different models.
We found greater correlation between ranks generated by different risk adjustment models than between rank based on observed mortality and ranks generated by the models.
In this study, we created a very simple combined scoring strategy by multiplying the ranks generated by different methods.
Instead, we used a combined scoring strategy by multiplying together the ranks generated by different methods (for details see section Materials and Methods).
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Table 11 Summary of the components used to rank the configurations (First case) Ranking Configuration Node VM TS RT 1388 2 4 Gold Hot 2 40 2 4 Gold Warm 3 34 2 2 Bronze Hot … … … … … … 36 43 2 4 Silver Cold. Figure 7 summarizes the configuration ranking generated for the first case scenario.
The ranking of the biclusters by each algorithm is the ranking generated by the respective package.
Ultimately, this mapping is the size of the rank, generated in O md|??|).
For the vast majority of GO and MeSH terms already the top ranked generated definition contains the parent/ancestor.
This is in contrast to the dinucleotide ranking generated by the N = 2 position-independent model which takes all nucleosomes into account (Table 1).
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com