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Ultimately, a modified voting/consensus model was generated starting with the primary ranking obtained by the in silico fragmentation voting/consensus model sorted in descending order.
As shown in Figure 8, the cluster index that each model belongs to is plotted with respect to the model sorted in the ascending order of the CVs of period or amplitude.
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Once the models are sorted in decreasing order, we can obtain a confidence set of models by summing the weights from the largest to the lowest until the sum is (1-α) where α is the significance level.
Models are sorted in ascending order from least to most parameters.
Models are sorted in ascending order of ΔAIC values.
The most important features, i.e. φ(r), as estimated by the RF internal importance analysis [ 11], were averaged over ten RF models and sorted in descending order.
In the following text the theme and subthemes are described and sorted in accordance with the Finfgeld-Connett model.
Another model to explain sorting in the regulated pathway was developed from experiments in β-cells, where it was shown that insulin-containing secretory granule formation is driven by the hexamerization and condensation of insulin in the ISGs (Arvan et al. 1991).
To put this in perspective, when the reactions with gene associations (96 out of 125 reactions in the model) were sorted by descending order of magnitude of their overall gene expression changes, reaction EC 4.1.1.1 ranked below 10 in three out of the four cases.
The best model is in bold and the remaining models are sorted below by increasing values of AIC.
Lastly, our model explains the differences in sorting observed in actin filaments vs 2D networks, and the role of the myosin lever arm in regulating sorting.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com