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Finally, we explore the high-level features learned by BrainNetCNN by visualizing the importance of each connection in the brain with respect to predicting the outcome scores.
Here, we also develop a technique for visualizing the importance of the k-mer at each position t for the classification problem based on our spectral latent features.
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It does so first by analyzing course material of the assessment range and displaying a concept-weight-annotated knowledge map which concretize and visualize the importance of and the relationships among concepts in the range.
Franke et al. [6] visualized the importance of three-point pharmacophores (3PP) obtained from a trained support vector machine (SVM) model by placing differently sized spheres at the centre of the substructure leading to a 3PP.
To visualize the importance of the different cost components, the resulting costs in the 'Conclusions' section were grouped in car acquisition costs (or depreciation), fix costs (maintenance and insurance, including traction battery change costs for electric vehicles), and fuel costs, c.f. Table 4.
An alternative way to visualize the importance of the changes in mRNA stability in the transcriptional response to heat stress is by comparing the experimentally determined RA kinetics over time with the theoretical one (see equation [1] in M & M) obtained from TR values and the initial RA by assuming no changes in mRNA stability (ΔkD = 0).
To visualize the importance of mutual interactions to acid base considerations, one might compare AN and DN (representing Lewis acidities and basicities) with "simple" Brønsted relations.
We added an example of how different slices present different input output curves of activation in Figure 1 Figure supplement 1C to better visualize the importance of normalization.
Instead, we sum the absolute values of all k-mer importance scores at each position, as is done in Sonnenburg et al. (2008), and visualize the importance score as a function of the position t.
> -wrap-foot> advantagedvantage of our method over previous state-of-the-art poly(A) motif predictors is that our method can be used to visualize the importance of k-mers or positions to the prediction task.
We also demonstrate that our method can be straightforwardly used to visualize the importance of any k-mer at any position in binding sequences, thus to gain insights in the design of binding site sequences.
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CEO of Professional Science Editing for Scientists @ prosciediting.com